Program guide: Artificial Intelligence Sovereign Compute Infrastructure Program (SCIP)

Table of contents

Introduction

This Program Guide is intended to assist Applicants in the completion of the Application Form for the Artificial Intelligence Sovereign Compute Infrastructure Program (SCIP).  It provides information on the program, the Application Form, the process for submitting the application, as well as the criteria for assessing the application.

It is strongly recommended that Applicants read this Guide before filling out the application form to ensure a thorough understanding of both the program objectives and Applicant eligibility.

The application form must be completed and submitted via email to aiscip-picsia@ised-isde.gc.ca by 1:00 PM Eastern Time on Monday, June 1, 2026, with the required information as outlined in this Guide.

During the review process, Innovation, Science and Economic Development Canada (ISED)  program officials may engage with A pplicants directly as required.

Under the Financial Administration Act and the Treasury Board's Policy on Transfer Payments and associated Directive, federal departments may only commit and expend public funds where Parliament has provided the necessary spending authority through appropriations, and no payment or financial commitment may lawfully be charged against an appropriation in excess of or without that authority. Accordingly, the launch of SCIP and any subsequent contribution agreements are contingent upon the department receiving the required appropriations and authorities from Parliament and the Treasury Board. The issuance of this call for applications does not constitute a legal or financial obligation on the part of the Government of Canada to enter into a contribution agreement, make any payment, or fund any proposal unless and until such authorities are obtained and a formal contribution agreement is executed in accordance with applicable legislation and policies governing transfer payments. Applicants are encouraged to also review the SCIP webpage for more information on the program.

If there are any additional questions, please contact the program at: aiscip-picsia@ised-isde.gc.ca.

Program description

a. Program objectives

The objective of SCIP is to vastly increase the total AI-relevant compute power currently available to Canadian researchers and industrial research and development (R&D) by building state-of-the-art AI supercomputing infrastructure. This program aims to:

  • Meet the compute needs of Canadian researchers, giving them the tools to undertake transformative AI projects;
  • Support access for innovative Canadian businesses;
  • Enhance Canadian sovereignty and resiliency;
  • Allow for the integration of Canadian technologies; and
  • Accelerate the build-out of national public AI compute capacity to ensure Canada remains globally competitive and retains top AI talent.

b. Priorities

SCIP is guided by a set of core priorities that underpin the Government of Canada's strategic investment in building a large-scale, sovereign AI compute capability.

Proponents are expected to demonstrate how their proposals contribute to these priorities, which will advance Canada's capacity to support world-leading research and innovation.

The core priorities are:

Increasing compute capacity: Expanding the availability of high-performance, AI-optimized compute infrastructure in Canada to meet growing demand from the research and innovation ecosystem.

Speed to delivery: Enabling the rapid deployment of meaningful compute capacity to ensure timely access for users and to maintain Canada's competitiveness in a fast-evolving global landscape.

Future scalability: Designing infrastructure that can grow and adapt over time, with consideration for modular expansion, long-term sustainability, and evolving technology needs.

Sovereignty and governance: Establishing a Canadian-located, Canadian-governed system that ensures data residency, operational control, and decision-making authority and agency remain in Canada, and which can be adapted and scaled over time to serve the evolving needs of Canadians.

Economic impact: Supporting broader economic benefits for Canada, including enabling industrial R&D, strengthening domestic supply chains, fostering collaboration, and developing highly qualified talent.

Please see the Application assessment in this Guide for information on the assessment process and assessment criteria.

 

c. Program scope

The delivery of SCIP will be structured into two distinct layers: an Infrastructure Build Layer and a National Service Layer. The two distinct layers reflect the need to both establish a sovereign AI supercomputing system and ensure its effective integration into Canada's existing broader digital research infrastructure (DRI) ecosystem.

The National Service Layer will focus on user support and ensuring the new system integrates smoothly with existing public infrastructure access and allocation systems, and that applicable accessibility and cybersecurity standards are met.

To ensure national coordination and seamless access for users across Canada, the successful recipient of the Infrastructure Build Layer will be required to work closely with the National Service Layer provider to fully integrate the new compute infrastructure into the existing national DRI ecosystem through the National Service Layer. This collaboration will be expected to enable interoperable access, alignment with established governance, security and data management frameworks, and compatibility with existing user support, allocation, and identity systems, thereby ensuring that the infrastructure operates as a coherent component of Canada's broader research and innovation platform rather than as a standalone asset.

Under SCIP, the National Service Layer Provider will facilitate the integration of the SCIP system into the national DRI ecosystem, and will provide user support, data services, training, and research consultation services to the Public Research and Industrial R&D users of the SCIP system.

The Build Recipient will be expected to collaborate with the National Service Layer provider in areas such as AI compute services, research software & tools, security, compliance & trust, knowledge sharing and governance.

In addition to collaborating in these key areas, the Infrastructure Build Layer will include systems administration, hardware operations, and data centre operations. The figure below shows the services scoped to the Build Layer in blue, the services scoped to the Service Layer in green, and the overlap where shared responsibility and collaboration for specific services is expected.

Figure 1

Figure 1 – Text version

A Venn diagram comparing the Build Layer and Service Layer. The left circle, labeled Build Layer, lists systems administration, hardware operations and datacentre operations. The right circle, labeled Service Layer, lists research consulting, training and skills development, user support and data services. The overlapping section labelled Collaboration lists AI compute services; research software and tools; security, compliance and trust; knowledge sharing and governance, showing the areas of collaboration between the Build Layer and the Service Layer.

This call for applications is only for the Infrastructure Build Layer.

See the Detailed description of program layers in this Program Guide for more details on the distribution of services between layers.

 

d. Funding availableFootnote 1

The program may provide up to approximately $890 million to the Infrastructure Build Layer to support the design, construction, and ongoing operation of the compute system, over seven fiscal years, beginning in fiscal year 2026–27 as outlined in this call for applications.

Program requirements

a. Sovereignty requirements

Sovereign AI compute infrastructure in the context of SCIP is defined as a Canadian-located, Canadian-governed system that ensures data residency, operational control, and decision-making authority and agency remain in Canada, and which can be adapted and scaled over time to serve the evolving needs of Canadians, ensuring:

  • Data sovereignty and protection: Canadian data, including sensitive data, has appropriate protections and can be leveraged to build AI solutions that directly address Canadian needs and priorities. Data is managed prioritizing data residency in Canada.
  • Infrastructure control: Core compute and storage infrastructure must be owned or contractually controlled by Canadian entities, with safeguards that limit instances in which a foreign party can unilaterally restrict use or access.
  • Governance and access: Decision-making on system components, and who can use the infrastructure and for what purposes must rest with Canadian institutions or organizations, not foreign vendors or governments. Controlling Canadian entities must attract and retain sufficient deep technical expertise and audit rights to give agency to their decision-making accountability.
  • Buy Canadian and supply chain resilience: While some components (i.e. hardware, software etc.) may be foreign-made, supply contracts should, when possible, maximize Canadian integration, installation, as well as support, and limit lock-in risks.

b. Eligible applicants

To uphold SCIP's sovereignty requirements, only organizations that meet the criteria described below will be considered. Applicants are encouraged to review these guidelines thoroughly to ensure their organization aligns with the eligibility requirements:

  • Not-for-Profit Organizations incorporated in Canada;
  • Post Secondary Institutions incorporated in Canada;
  • Consortia (Led by a Not-for-Profit or Post-Secondary Institution): Multi-partner collaborations that may include academic institutions, research organizations, and industry partners, provided the Lead Applicant is a not-for-profit or post-secondary organization incorporated in Canada.

The Lead Applicant is the organization designated to represent the consortium. If the application is successful, the Lead Applicant would be responsible for signing the Contribution Agreement with ISED.

c. Eligible activities

As a reminder, this call-out is only for the Infrastructure Build Layer of SCIP. Please refer to the Detailed description of program layers in this Guide for more information on the distribution of services for the two layers.

 

Eligible activitiesFootnote 2 for SCIP (including both the Service and Build Layers) are those activities related to enhancing public compute infrastructure, data and talent development, and include:

  • Activities to build and enhance compute infrastructure, including maintaining, operating and upgrading compute capacity and exploring innovative approaches;
  • Activities to provide Canadian researchers and industry with access to compute resources;
  • Activities to test novel hardware and software solutions to improve systems performance;
  • Activities to develop sovereign data storage solutions;
  • Activities to utilize, protect, and leverage Canadian data;
  • Activities to advance the safe, ethical, and responsible use of AI technologies;
  • Activities to support research data management
  • Activities to build capacity and attract, retain, train and develop highly qualified and industry-ready personnel;
  • Collaborative activities, including participation of Canadian researchers and innovators in international projects;
  • Day-to-day operations as they relate to the fulfilment of the terms of the contribution agreements;
  • Activities to support the creation, growth and retention of companies;
  • Activities to lease compute infrastructure may be considered but Applicants must demonstrate how it will meet the sovereignty requirements.

d. Eligible costs

Eligible costs are those that relate to and are deemed eligible by the Minister to advance the program objectives and eligible activities. Eligible costs for activities in support of SCIP may include:

  • Expenditures related to the building, leasing, purchasing, maintenance and operations of compute infrastructure. Leased compute infrastructure may be considered but Applicants must demonstrate how it will meet the sovereignty requirements;
  • Expenditures related to data curation and usage;
  • Salaries, stipends, and benefits for employees' portion of time spent on the project;
  • Operations of facilities;
  • Equipment;
  • Direct costs;
  • Professional and technical services;
  • Materials and supplies;
  • Costs associated with researcher, industry and innovation engagement;
  • Expenditures related to networking and communication: e.g., seminars and workshops; networking meetings; conferences; communications; public outreach;
  • Expenditures related to talent development training and capacity building;
  • Reasonable operational expenditures. In most instances operational expenditures will be limited up to 15%, with the possibility of up to 20%: e.g., administrative salaries; benefits and management fees; goods and services of contractual personnel; consulting and/or technical services; translation, office supplies/services; insurance; staff travel; accommodation; rent and utilities; audit. As these expenditures depend on the nature and scope of the Recipient's activities, they will be specified in the contribution agreements;
  • Travel should be in line with the Modern Travel Practices of the National Joint Council Travel Directive (NJC). Eligible hospitality costs will follow the standards set out in the current Treasury Board Directive on Travel, Hospitality, Conference and Event Expenditures (THCEE).

Applicants are encouraged to specify any expenditures related to the purchase and/or leasing of land and buildings necessary for their project. However, expenditures related to land and/or buildings are contingent upon the department receiving the required appropriations and authorities from Parliament and the Treasury Board.

Any costs incurred by the Applicant prior to being formally confirmed as a successful recipient are undertaken at the Applicant's own risk. The eligibility of retroactive costs is not guaranteed and, if considered, will only be addressed during the negotiation of the Contribution Agreement.

Application requirements

The following information provides detailed explanations and the level of detail expected for each section of the application form.

Section 1: Applicant information

1.1 Organization information

Only applications from eligible organizations will be considered. Applicants must select their organization type from the following list of eligible organization types:

  • Not-for-Profit Organizations incorporated in Canada;
  • Post-Secondary Institutions incorporated in Canada;
  • Consortium (Led by a Not-for-Profit or Post-Secondary Institution): Multi-partner collaborations that may include, for instance academic institutions, research organizations, and industry partners, provided the Lead Applicant is a Not-for-Profit Organization incorporated in Canada or a Post-Secondary Institution incorporated in Canada.

1.2 Applicant information

Applicants must provide details about their legal and operating names, location, mailing address, official language, and date of incorporation.

Applicants must attach proof of Not-for-Profit status or proof that their organization is a Post-Secondary Institution.

  • For Not-for-Profit organizations, this proof may include incorporation documents (articles of incorporation or certificate of incorporation), CRA Notification of Registration letter, annual returns filed with Corporations Canada or respective provincial registry, or by-law governing documents.
  • For Post-Secondary Institutions, this proof may take the form of a copy of university charter, provincial statute, or ministerial consent.

Applicants must confirm whether they are acting as the Lead Applicant for the purpose of the Application. Applicants must also specify the number of employees (part-time and/or full-time) who will be dedicated to the SCIP project at the Lead Applicant's organization and the estimated annual hiring of personnel dedicated to the SCIP project at the Lead Applicant's organization.

1.3 Authorized application contact

An authorized application contact must also be identified, and their contact information must be provided. The authorized application contact is the person who is authorized to represent the organization and/or consortia and who will be the main point of contact regarding the application. If the person is not a signing officer of the organization, additional details about the person's role within the application and confirmation of their right to represent the organization should be provided.

Section 2: List of partners

2.1 List of partners

Applicants must list all organizations who are partners in the application.

Partners are organizations (including academic institutions, research organizations, civil society, industry partners, other levels of government) who, along with the Lead Applicant, will be responsible for achieving the objectives of the project.

For each partner, Applicants must provide the organization's name, business number, or Quebec Enterprise Number (NEQ), location and the number of employees (part-time and/or full-time) who will be dedicated to the SCIP project and the estimated annual hiring of personnel dedicated to the SCIP project.

If there are more than three partners, Applicants must attach information about additional partners (preferably a Word document or PDF), including their name, business number/NEQ, and location.

Section 3: Applicant and partners profile

3.1 Applicant and partners profile

Applicants must provide an overview of the qualifications of the key staff who will be involved in the SCIP project. This may include relevant prior experience, experience in delivering high-performance compute or AI systems, education, publications, and professional designations.

Applicants must also describe their financial management capabilities and those of any partners who may be involved. This may include the organization's current financial management systems and controls, ability to manage and track a program budget, processes to ensure partners direct program funding to eligible costs, and the ability to steward ISED funds.

Applicants must attach the Lead Applicant's Financial Statements from the past three years. In the case where the Lead Applicant is unable to provide Financial Statements they are required to contact the program to discuss alternative documentation.

Applicants must provide details about any current or pending funding agreements the Lead Applicant has with any federal department.

Applicants must describe their staffing plan for the build, deployment, and ongoing operations. This includes providing details about key roles, responsibilities for each role, and describing who will be accountable for development, testing, and deployment activities.

Applicants must attach a detailed staffing plan of the personnel who will operate, optimize and maintain the infrastructure.

3.2 Governance structure

Applications must clearly describe the role and contributions of every partner involved in the project. This includes a detailed explanation of the project's governance structure, outlining decision-making processes, accountability mechanisms, and how partners will coordinate across all phases of the project.

Applications must also explain how the governance structure will ensure that decision-making authority will rest with Canadian institutions, including sufficient deep technology audit rights (i.e. NDA access to proprietary code) and domestic operational expertise. This ensures that domestic experts have the ability to review possible changes to firmware or software to ensure the Applicants and their partners have the agency to detect risk, and make and enforce decisions.

In addition, Applicants must outline their organization's current and ongoing interactions within the broader AI and supercomputing ecosystem which should include a description of the organization's role in ecosystem level governance. Applications need to demonstrate how these ecosystem connections and governance structures will support effective partnerships, knowledge exchange, and long-term sustainability of the supercomputing infrastructure.

Section 4: Application summary

4.1 Executive summary

Applications must have an executive summary that highlights the key aspects of the project.

Section 5: Technical requirements

The following requirements outline key considerations for hardware, site facility, energy, cooling, security, cybersecurity, scalability, and sustainability that must be addressed in full to ensure the infrastructure can support large-scale AI research and innovation.

5.1 Hardware

ISED recognizes that there have recently been significant price increases for state-of-the-art GPUs due to supply chain issues, and there is the potential for future price volatility due to ongoing supply chain constraints.

Applicants are encouraged to consider how the proposed architecture can maximize the number of advanced GPUs, integrated with the necessary interconnect, storage, cooling, and power infrastructure, to deliver high-performance AI compute while remaining consistent with the program's delivery timeline requirements.

Facilities must be able to receive hardware and commence service operations in an expedient manner ensuring that Canadian researchers have the tools to stay competitive. Applicants must demonstrate a viable plan to ensure hardware delivery and significant service offerings targeting 18 months following entering into a Contribution Agreement.

Applicants must describe the proposed system architecture and expected performance of the infrastructure. This includes providing details on the overall system architecture, including compute nodes (GPUs and CPUs), interconnect, memory, storage, and networking, and how these components are integrated to support AI and HPC workloads. Applicants must include anticipated performance metrics and benchmarking. Applicants must also explain how the architecture is modular and designed to scale, including maximum supported GPU configurations, expansion pathways, and anticipated performance impacts as the system reaches full capacity and in the case of future expansion in the event of future investment.

If the proposed infrastructure hardware and software are a close match to an existing, well-documented operational system, attach copies of its documentation, and name it, and describe all major improvements or deviations. If the proposed infrastructure is not a close match to any existing well-documented operational system, explain how and why such novelty will meet SCIP’s priority for the rapid build-out of high-density AI compute to meet the immediate and growing needs of Canadian researchers and innovators.

Provide a description of a representative sampling (at least three) of workloads/use cases relevant to Canadian researchers and industry R&D that this equipment will be appropriate for, including widely available benchmark suites, configurations and performance targets, applicability in different research areas, and, to delineate the scope of research anticipated, a description of workloads that would not be appropriate for this equipment at this scale.

5.2 Site facility

Applications must indicate the location of the site(s) intended to house the infrastructure.

Applicants must clearly describe the ownership and legal status of the site, including both the land and any buildings that will be used for project delivery. This includes a full explanation of who owns the property, the nature of any leases or shared use agreements, and any third party interests. If ownership is held through a corporation, partnership, trust, or other structure, Applicants must identify the ultimate controller of the property. Where a foreign state, entity, or individual has any direct or indirect ownership interest in the ultimate controller, this must be disclosed in detail to support transparency and due diligence requirements.

Applicants must also outline a realistic and detailed plan to achieve significant service delivery within approximately 18 months of entering a contribution agreement and target of when full operational capacity will be achieved.

  • Include a timeline of major milestones, such as site preparation, construction, installation, commissioning including system acceptance test and benchmarking plans, refresh strategies and phased hardware (including GPUs, CPUs, storage, and memory components) acquisition approaches.
  • Indicate which permits and approvals are required, the status of each (e.g., pending submission, submitted, approved), and identify any foreseeable supply chain or procurement challenges.
  • Outline strategies, including proof of pre-approved agreements with suppliers, for ensuring timely access to equipment, materials, labour, and professional services as well as compliance with environmental, sustainability, and regulatory obligations.

Applicants must attach technical design specification documents. This may include architectural or engineering drawings, environmental and power system specifications, manufacturers' technical documentation for installed equipment such as CPUs/GPUs, HVAC equipment specifications, rack and containment system specifications.

Applicants must attach a detailed plan (i.e. Work breakdown structure, procurement plan including pre-approved supplier agreements, Gantt chart, resource plan, etc.).

5.3 Software

Applicants must describe the proposed operational environment and software stack that will support large-scale AI and HPC workloads. This includes describing the middleware and operational software stack that will be used to deploy, operate and manage the AI compute infrastructure at scale. Applicants need to include details of the tools and systems that will support day-to-day operations such as orchestration, scheduling, monitoring, automation, configuration management, and performance management.

In addition, Applicants must describe the user-facing software stack(s) that will be made available to academic researchers and industrial R&D users. Applicants need to explain how this software stack(s) will be able to support multiple environments tailored to different use cases and security requirements and able to meet the needs of researchers and industry R&D.

At all levels of the software stack, Applicants are encouraged to consider open-source software solutions where appropriate and in keeping with SCIP’s objectives.

5.4 Risk assessment

Applicants must provide a comprehensive risk assessment that supports the operational plan including power and water availability at full operational levels.

  • Identify key risks that could affect the project's schedule, cost, compliance, or operational readiness, along with mitigation strategies to reduce the likelihood or impact of each risk.
  • Outline contingency plans that explain how the project will remain on track in the event of delays, permitting challenges, supply chain disruptions, system downtime, or other unforeseen issues. A strong submission will demonstrate that the Applicant has proactively assessed uncertainties and established feasible, well-supported approaches to maintaining project momentum.

5.5 Energy

Applicants must demonstrate that their facility can meet both immediate and long-term energy requirements.

  • Indicate the site's current available power (in MW) and the power that will be available for significant service targeting 18 months following Contribution Agreement execution.
  • Indicate the power (in MW) that will be available for full deployment as well as potential future power (in MW) that may be available post full deployment.
  • Demonstrate how the design will support growth of power capacity by full deployment. Responses should explain planned upgrades or agreements that will enable the site to scale as required.
  • Describe their current and future power provisioning and management arrangements, including electricity sources, load management strategies, redundancy measures, and any sustainability or efficiency features. This should include details on how the design and planned infrastructure will support growth to full deployment outlined within the scope of this call and future expansion.
  • Include information about grid connection plans, utility coordination, planned infrastructure upgrades, and any sustainability or energy-efficiency features incorporated into power design.

To verify the energy supply, Applicants must attach evidence of committed or planned power arrangements. Acceptable documents may include power purchase agreements, utility connection or capacity confirmation letters, electricity supply contracts, or feasibility studies from the utility provider. Documentation should clearly support the timelines and capacity levels described in the application.

5.6 Cooling

Applicants must describe the facility's current and planned cooling capacity, explaining how the system will support the computing loads for the site.

  • Provide an estimate of the annual volume of water (in millions of litres) drawn and discharged.
  • Explain how the cooling system can scale to meet future demand as supercomputing requirements evolve. This includes planned upgrades, modular components, or pathways for increasing capacity over time.
  • Outline the cooling technologies being used, how they are optimized for energy efficiency, and any design features that reduce overall power usage (e.g., heat recovery systems, advanced airflow management, liquid cooling, or free air cooling where applicable).

5.7 Physical security

Applicants must describe the facility's physical security measures, including systems designed to prevent, detect, and respond to security incidents.

  • Include fire prevention and suppression systems, controlled personnel access (such as secure entry points, authentication measures, or restricted zones), and onsite surveillance or monitoring technologies.
  • Outline disaster recovery safeguards in place to maintain continuity of operations during emergencies, such as backup power, redundant systems, incident response procedures, or secure data handling protocols.

5.8 System design and cybersecurity

Applicants must describe the measures in place to protect the cybersecurity of the infrastructure, including how the system will support multiple, purpose-built user environments with varying security requirements.

  • Outline how environments for open academic research, controlled industry use, and sensitive data (such as health-related information) will be segregated and governed, with clearly defined access controls, authentication processes, and cybersecurity measures aligned with data sensitivity and applicable Canadian and international standards, regulatory requirements, and best practices.
  • Include details on existing and planned data storage infrastructure, such as secure storage tiers, encryption practices, and data management policies to demonstrate that the system can protect data across all operational contexts.

5.9 Scalability and emerging technologies

Applicants need to clearly explain how their system and site design enable scalability over time.

  • Explain how the physical site, facility design (e.g., power, cooling, and networking infrastructure), and system architecture could accommodate future hardware upgrades, technology refreshes, integration of emerging technologies (e.g. quantum computing) and capacity expansion to maintain relevance and competitiveness of the system.

5.10 Sustainability

Applicants must describe the energy efficiency of the facility, including the current or planned average Power Usage Effectiveness (PUE).

  • Outline the energy procurement processes and policies, demonstrating how the facility will minimize its environmental footprint, for example, through renewable energy sourcing, load-shifting strategies, or other low-carbon approaches.
  • Describe any broader sustainability initiatives, such as water-conservation measures, waste-heat reuse, circular-economy practices for hardware lifecycle management, or participation in recognized environmental certification programs. Together, these elements should demonstrate a comprehensive and forward-looking approach to sustainable facility operations.

Section 6: Sovereignty requirements

6.1 Data sovereignty and protection

Canadian data, including sensitive data, must have appropriate protections, while being leveraged to build AI solutions that directly address Canadian researcher needs and priorities.

  • Outline how the application will prioritize data residency in Canada and ensure data management practices comply with Canadian privacy and security laws without imposing burdens that could impede researcher success.
  • Explain how cross-border data access or legal issues will be identified, mitigated and managed in a way that avoids imposing onerous security measures on research that does not involve specifically sensitive data, while ensuring that carefully prescribed protections are applied when sensitive data is required.

6.2 Infrastructure control and access

Core compute and storage infrastructure must be owned or contractually controlled by Canadian entities, with safeguards to ensure a foreign party cannot unilaterally restrict use or access. Decision-making on who can use the infrastructure and for what purposes must rest with Canadian institutions or organizations, not foreign vendors or governments. Controlling Canadian entities must attract and retain sufficient deep technical expertise and audit rights to give agency to their decision-making accountability.

  • Outline who will own and control the core compute and storage infrastructure across the full lifecycle of the facility and how this controlling body will have sufficient deep technical skills to achieve agency.
  • Describe how the Applicant will ensure that decisions related to access to infrastructure will remain under the authority and control of Canadian institutions and organizations.
  • Specify any policies, measures, or agreements to ensure foreign entities cannot restrict use or access.

6.3 Buy Canadian and supply chain resilience

To ensure a secure, resilient supply chain that prioritizes the involvement of Canadian vendors and technology providers in all stages of the project while making room for emerging technologies, Applicants must:

  • Include plans to integrate Canadian technologies, products, solutions, and services across hardware, software, and operational layers wherever possible and feasible. Demonstration of existing relationships with key suppliers/partners will be seen as an asset.
  • Outline how the system will be designed and built to enable future integration of innovative technologies, such as emerging AI accelerators, quantum components, or advanced interconnects. This will ensure the system remains adaptable and capable of incorporating next-generation hardware and software solutions.
  • Integrate approaches to foster innovation through partnerships with Canadian firms, including start-ups.

Section 7: Other application requirements

7.1 Knowledge of Research Ecosystem

Applicants must describe how their organization demonstrates a comprehensive understanding of the needs and operating realities of Canadian researchers, as well as the diverse AI workloads required across both academic and industry users. This may include knowledge of sector-specific compute demands and the performance, scalability, and reliability requirements of a broad range of AI use cases.

7.2 Access and Cost Recovery Models

SCIP is intended to anchor a national AI-focused computing system to meet the needs of researchers, in addition to industrial research and development, with an aim to accelerate discovery, strengthen collaboration between academia and industry, and support innovative Canadian businesses conducting advanced research and development.

Applicants must demonstrate:

  • A plan to provide a portion of compute access for industry. This could include consideration around paid proprietary industry access, including a transparent cost-recovery model and reinvestment plan. Applications should outline how revenue generated from commercial access might be reinvested to sustain and expand the system, for example, funding system operations and maintenance, and supporting future hardware refreshes to maximize long-term national benefit.
  • A plan to enable collaborative research between industry and academia.

7.3 Economic Benefits

  • Applications need to explain how the project strengthens the Canadian value chain and can act as a testbed for Canadian technologies. Applicants should explicitly note any use of Canadian-owned or Canadian-based hardware, software, infrastructure and service providers (including facilities, system integration, supply chain, and start-up partners) that will ensure domestic capability development, sovereignty, and long-term ecosystem growth.
  • Applications must demonstrate the efficient use of funds, ensuring maximum impact and clear alignment with SCIP’s objectives.
  • Applications need to outline the anticipated spillover economic benefits from the facility, including expected job creation, skills development, local supply chain impacts, and contributions to regional and national GDP growth.
  • Applications need to provide details on the approach to developing, attracting, and retaining top AI talent in Canada, focusing on the skills and expertise needed to build, manage, and optimize a large-scale AI computing system.
  • Applicants must provide a Residual Asset Value and Depreciation Schedule covering all capital assets to be purchased through this call. The schedule should identify each asset (or asset class), the acquisition cost, assumed useful life, depreciation method, and the estimated residual value as of the end of the 2032–2033 fiscal year. Depreciation calculations should be prepared using a recognized accounting standard (e.g., Public Sector Accounting Standard), which must be clearly identified. Assumptions used, such as useful life, residual value, and timing of asset deployment, should be reasonable, internally consistent, and clearly explained. The information provided should be sufficiently detailed to support an assessment of financial realism and value for money.

7.4 Complementary funding

  • Applications need to demonstrate the ability to attract and secure complementary funding, including cash and in-kind, to enhance the overall scale, sustainability, and long-term value of the project. Cash and in-kind funding supports must be clearly delineated in applications.
  • Applications need to illustrate how additional sources of government funding and other external financial support will be leveraged to enhance project outcomes and contribute to long-term sustainability.

7.5 Integration with existing Canadian DRI ecosystem

  • Applications must demonstrate how the system will integrate with the existing DRI ecosystem of computing infrastructure, including the national computing and data platforms, via collaboration with the National Service Layer, to ensure all investments are optimized to meet the objectives of SCIP.
  • Applications need to show how the infrastructure will align with the principles of open science and support FAIR (Findable, Accessible, Interoperable, and Reusable) data practices, enabling broad, secure, and responsible access to research outputs.

7.6 Indigenous partnerships

  • Applications must demonstrate respect for Indigenous rights, interests, and resource use, with meaningful engagement throughout all phases of development.
  • Applications need to outline any plans to assess and mitigate potential impacts on Indigenous lands, waters and resources as supported by environmental assessments.
  • Where appropriate, this includes outlining strategies to deliver long-term benefits (e.g., employment, training, etc.) to Indigenous communities.

7.7 Ongoing operating

The successful recipient will be responsible for the ongoing operation of the infrastructure, ensuring it is managed in a manner that supports long-term sustainability, security, performance, and continued alignment with SCIP’s objectives.

  • Applicants must demonstrate the governance structures, operational capacity, and forward-looking planning necessary to operate, maintain, and evolve large-scale AI computing infrastructure over time, including mitigation plans for required downtime.
  • Applicants must include a strategy for how future integrations of emerging technologies such as quantum computing could be managed operationally. Applicants should include a preliminary vendor map that aligns with future refreshes.

Section 8: Source of funds

Applicants must enter the dollar amounts that each source will contribute to the project by fiscal year. The Government of Canada's fiscal year runs from April 1 to March 31.

Under the amount requested under SCIP, include the total amount of funding the Applicant is requesting from ISED by fiscal year.

For Applicant and partner contributions, specify the contribution amount, including in-kind contributions such as equipment, facilities, staff time, and delineate as such, for the Applicant as well as partner(s) by fiscal year. Cash and in-kind funding supports must be clearly delineated in applications.

Specify the total amount of other government funding at the provincial, and/or territorial, and municipal levels, for each fiscal year.

Include any sources of funding that did not fit under any of the aforementioned sections.

Applicants are encouraged to provide any further information about the source of funds included in the table, such as specifying whether the contribution is confirmed or anticipated.

Section 9: Estimated costs

Applicants must provide a detailed breakdown of all project-related expenses separated out by the following cost categories:

  • Land, Building and Building Improvement: Costs related to acquiring, leasing, or preparing physical space required for the project. This includes land or building purchases/leases, fit up, renovations, and structural, electrical, or architectural improvements necessary to house infrastructure or project activities. For applications proposing costs in this category, Applicants must provide robust justification and detailed plans demonstrating necessity, cost reasonableness, site readiness, and alignment with project timelines, including evidence that proposed investments directly support the timely deployment and operation of the infrastructure. As previously noted, expenditures related to land and/or buildings are contingent upon the department receiving the required appropriations and authorities from Parliament and the Treasury Board. Applicants are still encouraged to specify any expenditures related to land and/or buildings if they feel it is necessary for their project.
  • Computing, Networking and Data Equipment: Costs associated with the main AI or HPC computing cluster equipment. This includes intra-cluster networking, cloud rental, specialized equipment, inference services, etc.
  • Power Infrastructure: Costs for electrical systems required to support project infrastructure. This includes power supply and distribution equipment, generators, wiring, and power monitoring or management systems necessary to operate compute or facility equipment.
  • Cooling Infrastructure: Costs for environmental control systems needed to maintain proper operating conditions. This includes chillers, cooling towers, pumps, piping, ductwork, and environmental monitoring systems used to manage heat generated by compute or facility equipment.
  • Software, Data and Digital Assets: Costs for software and data required for project delivery. This includes licenses, subscriptions, cloud platform tools, data acquisition or licensing, data cleaning/annotation, and systems that support data governance, storage, or secure access.
  • Security (Physical and Cyber): Costs associated with protecting project assets, infrastructure, and data. This includes physical security (access control, surveillance, barriers) and cybersecurity tools or services (firewalls, encryption, vulnerability testing, monitoring).
  • Salary and Admin: Costs for personnel and administrative support directly attributable to the project. This includes salaries, stipends, and benefits for project staff, as well as reasonable administrative costs (e.g., admin support, management fees, office services) within the allowable indirect cost cap.
  • Other: Any other necessary, and project-specific costs that do not fall under the categories above, including insurance and utilities. Applicants must provide a brief justification to explain the relevance and necessity of the expense.

Enter the anticipated cost in dollars for each item by fiscal year. Costs should reflect realistic market rates and expected expenditures over the full project period. Where possible, estimates should be based on vendor quotes, past project experience, or standard organizational rates. Where necessary, include examples and assumptions made on costs or define more clearly what is allocated in each cost category as it relates to your project.

Section 10: List of attachments

Applicants are required to attach the following documents when emailing their application to SCIP officials. Applications missing these documents will be considered incomplete.

  • Proof of not-for-profit status or proof of institution's legislative status
  • Information about additional partners (if applicable)
  • Financial Statements for the Lead Applicant
  • Detailed staffing plan
  • Documentation of a similar existing operational system (if applicable)
  • Project plan
  • Proof of energy supply
  • Technical design specification documents
  • Residual Asset Value and Depreciation Schedule

Section 11: Authorization and certification

Applicants must formally authorize the submission of the application, consenting to the disclosure of the information contained within the application as well as any additional information provided to ISED later. See application form for the authoritative full certification text.

By signing these sections, the authorized officer attests that all certifications, including those related to lobbying compliance, federal obligations, legal status, conflict-of-interest requirements, and authority to sign, are true and accurate on behalf of the Applicant/Lead Applicant. The authorized officer must also confirm that the organization meets the program eligibility requirements and all information in the application is accurate and complete.

Application process

a. Accessing the form and deadline

To apply, prospective Applicants must email aiscip-picsia@ised-isde.gc.ca to request the application form. SCIP officials will respond with the application form within one business day. The application form is a Word document and must be submitted as a Word document.

The Lead Applicant will be responsible for submitting the application and will be the main point of contact for ISED during the administration of the application process. Consortia must be represented by a Lead Applicant. Organizations are permitted to act as the Lead Applicant for a single application, while remaining eligible to join other applications as members of a consortium or partnership.

To apply, please send the completed application form as a Word document to aiscip-picsia@ised-isde.gc.ca.

The deadline to submit an application is 1:00PM Eastern Time Monday, June 1, 2026. A SCIP program official will reply via email within two business days confirming official receipt of the application.

Please ensure that sufficient time is allotted to complete the application form. Applicants requiring assistance should email aiscip-picsia@ised-isde.gc.ca.

If Applicants require this document or the application form in an alternate format or if Applicants need any other accessibility accommodation to complete the application, please contact SCIP officials at: aiscip-picsia@ised-isde.gc.ca.

The application may be submitted in either official language.

Application assessment

SCIP’s assessment approach is designed to ensure that applications are both technically viable and aligned with Canada's strategic priorities. Applications will be assessed through a rigorous, multi-stage process that combines government due diligence with independent advice from domestic and international experts.

 

 

Initial screening

To ensure applications are eligible and complete prior to evaluation. Only those that meet the initial screening requirements will proceed to the next stage of assessment.

Initial Screening Criteria:

  1. Is the Applicant an eligible organization?
  2. Is proof of not-for-profit status or institutional legislative status available?
  3. Does the Applicant meet SCIP’s sovereignty requirement? This includes demonstrating sustained, sovereign control in the national interest through Canadian ownership or legally enforceable control across the full lifecycle of the facility (design, build, operation, and refresh), with governance structures that ensure decision-making authority rests with Canadian institutions and with embedded safeguards to prevent foreign interference, extraterritorial restriction, and to minimize supply-chain dependency risks.

Technical execution and priorities assessment

Applications will be assessed through a structured, two-part evaluation framework designed to balance technical feasibility with alignment to SCIP’s core priorities.

The Technical Execution Assessment evaluates Applicants' capacity to deliver the proposed infrastructure, including readiness, system design, and anticipated performance.

Category Category description
Deployment/Build planFootnote * Demonstrates the clarity and feasibility of deployment plan to bring GPUs online rapidly, including phased deployment, number of GPUs available at each phase, and timelines to reach incremental operational capacity. Phases are supported by verifiable documentation demonstrating near-term readiness.
Hardware availabilityFootnote * Demonstrates the Applicant's ability to secure, deliver, and provision the required GPUs and supporting equipment on schedule to accelerate compute availability beyond the minimum deployment threshold. Confirmed through supply agreements, purchase orders, vendor allocation guarantees, or validated bill-of-materials.
Facility readinessFootnote * Ensures that facilities (power, cooling, networking, security, rack space) are prepared to support GPU installation and operation within proposed timelines.
Past deployment/ build experience and expertiseFootnote * Considers the Applicant's demonstrated experience with largescale infrastructure deployments, including past performance, lessons learned, and capacity to execute an optimized and timely build.
Architecture performanceFootnote * Ensures that proposed architecture can maximize the number of GPUs supported with integrated interconnect, storage, memory, and other system components to deliver high-performance AI and HPC workloads.
Facility capacityFootnote * Ensures that the facility can provide the necessary power, cooling, and physical infrastructure to support largescale GPU deployment at the density and reliability required.
Operations toolingFootnote * Presents comprehensive operational tools and systems—such as monitoring, orchestration, automation, and performance management—along with the availability of qualified personnel and staffing plans needed to operate, optimize, and maintain a largescale GPU environment effectively.
Architecture scalabilityFootnote * Presents a clear, evidence-based architecture with a modular design, well-defined GPU expansion pathways, and fully documented upgrade plans for compute, storage, and networking, as well as how effectively its technology refresh cycles align with vendor roadmaps to minimize operational disruption.
Facility scalabilityFootnote * Demonstrates that the facility has confirmed capacity headroom for power, cooling, and space—validated through engineering studies or utility commitments—and whether it provides clear plans for future expansion and support for increasing density, and evolving technology requirements.
Workload understanding Demonstrates a strong understanding of AI workloads for both academia and industry.
Multi- environment support Ability to support multiple environments tailored to different use cases, including the needs of researchers and industry.
Refresh strategies Demonstrates effective infrastructure planning, including system refresh strategies and phased hardware acquisition approaches.
International system comparison and justification Demonstrates a comparable architecture with an existing large-scale supercomputing system and can clearly explain and justify the similarities/differences and how it meets SCIP’s objectives for rapid build-out and high-density AI compute, or provides a detailed and justifiable novel architecture solution that still meets the SCIP’s objectives for rapid build-out and high-density AI compute.
Workload/Use cases sampling Describes a representative sampling of workloads/use cases relevant to Canadian researchers and industry R&D, that demonstrate the capabilities of the proposed system. The application provides quantitative characteristics of these workloads (e.g., scaling needs, compute requirements, memory and data needs), where possible supported by workload statistics or estimates, and explains how the proposed architecture supports them. Limitations of the system are clearly identified and do not undermine SCIP’s objectives.
System governance and security controlsFootnote * Demonstrates that the system is aligned with appropriate security requirements, including clearly defined access controls, governance structures, and cybersecurity measures consistent with applicable international and Canadian standards and best practices.
Software and tools Demonstrates a commitment to supporting academic research and industrial R&D through the use of appropriate software stacks and alignment with commonly used research tools, workflows, and community standards.
Facility security Demonstrates robust physical security measures for the facilities, including controlled personnel access, monitoring and surveillance, fire prevention and suppression systems, and disaster recovery and business continuity safeguards.
Data provisioning Demonstrates the availability of existing and/or planned data storage and other data provisions required to operate the service, including seamless integration and interoperability with existing Canadian data systems and platforms.
Energy efficiency and expansionFootnote * Demonstrates energy efficiency of the host facility, including current and/or planned Power Usage Effectiveness (PUE). Lower, well-substantiated PUE values, supported by facility design and operational plans, will be considered strong indicators of sustainable infrastructure.
Cooling strategyFootnote * Demonstrates a robust cooling strategy capable of supporting large-scale AI systems, optimized for energy efficiency, and designed to accommodate evolving system density and future cooling requirements.
Canadian controlFootnote * Demonstrates clear and comprehensive Canadian control over data residency, protection, and policy enforcement across the full data lifecycle, including explicit governance of metadata and access pathways (e.g., application control planes, management interfaces, and monitoring tools) that may reside outside the core compute environment.
Footnote *

Note: these assessment categories are common to both Technical Execution Criteria and Priorities Alignment Criteria

Return to footnote * referrer

The Priorities Assessment evaluates how applications align with SCIP's priorities: i) Increasing the Compute Capacity; ii) Speed to Delivery; iii) Future Scalability; iv) Sovereignty and Governance; and v) Economic Impact. The Priorities Assessment accounts for 40 percent of the overall score.

Priority Category Category description
Increasing compute capacity Architecture performanceFootnote * Ensures that proposed architecture can maximize the number of GPUs supported with integrated interconnect, storage, memory, and other system components to deliver high-performance AI and HPC workloads.
Facility capacityFootnote * Ensures that the facility can provide the necessary power, cooling, and physical infrastructure to support largescale GPU deployment at the density and reliability required.
Operations toolingFootnote * Presents comprehensive operational tools and systems – such as monitoring, orchestration, automation, and performance management – along with the availability of qualified personnel and staffing plans needed to operate, optimize, and maintain a large-scale GPU environment effectively.
Speed to delivery Deployment/Build planFootnote * Demonstrates the clarity and feasibility of deployment plan to bring GPUs online rapidly, including phased deployment, number of GPUs available at each phase, and timelines to reach incremental operational capacity. Phases are supported by verifiable documentation demonstrating near-term readiness. 
Hardware availabilityFootnote * Demonstrates the Applicant's ability to secure, deliver, and provision the required GPUs and supporting equipment on schedule to accelerate compute availability beyond the minimum deployment threshold. confirmed through supply agreements, purchase orders, vendor allocation guarantees, or validated bill-of-materials. 
Facility readinessFootnote * Ensures that facilities (power, cooling, networking, security, rack space) are prepared to support GPU installation and operation within proposed timelines.
Past deployment/Build experience and expertiseFootnote * Considers the Applicant's demonstrated experience with largescale infrastructure deployments, including past performance, lessons learned, and capacity to execute an optimized and timely build.
Future scalability Architecture scalabilityFootnote * Presents a clear, evidence-based architecture with a modular design, well-defined GPU expansion pathways, and fully documented upgrade plans for compute, storage, and networking, as well as how effectively its technology refresh cycles align with vendor roadmaps to minimize operational disruption.
Facility scalabilityFootnote * Demonstrates that the facility has confirmed capacity headroom for power, cooling, and space – validated through engineering studies or utility commitments – and whether it provides clear plans for future expansion and support for increasing density, and evolving technology requirements.
Energy efficiency and expansionFootnote * Demonstrates energy efficiency of the host facility, including current and/or planned Power Usage Effectiveness (PUE). Lower, well-substantiated PUE values, supported by facility design and operational plans, will be considered strong indicators of sustainable infrastructure.
Cooling strategyFootnote * Demonstrates a robust cooling strategy capable of supporting large-scale AI systems, optimized for energy efficiency, and designed to accommodate evolving system density and future cooling requirements.
Sovereignty and governance Contribution to sovereignty Demonstrates how the project strengthens Canadian sovereignty and resilience, including through domestic ownership or control of critical infrastructure, protection of Canadian data and IP, supply-chain robustness, and long-term operational sustainability.
Governance framework Demonstrates clear and robust governance structures in which each partner's role, responsibilities, and decision-making authorities are well defined, including partners contribution of specialized expertise, to ensure effective collaboration and accountability.
System governance and security controlsFootnote * Demonstrates that the system is aligned with appropriate security requirements including clearly defined access controls, governance structures, and cybersecurity measures consistent with applicable International and Canadian standards and best practices.
Canadian controlFootnote * Demonstrates clear and comprehensive Canadian control over data residency, protection, and policy enforcement across the full data lifecycle, including explicit governance of metadata and access pathways (e.g., application control planes, management interfaces, and monitoring tools) that may reside outside the core compute environment.
Indigenous considerations Demonstrates thought has been given to Indigenous participation. Where opportunity exists for Indigenous participation, applicant has creditable plan for engagement with Indigenous communities that respects Indigenous rights and interests, manages potential impacts on Indigenous lands and resources, where applicable, and delivers economic benefits.
Economic impact Ecosystem commitment and understanding Demonstrates a deep understanding of and commitment to supporting Canada's research ecosystem.
Seamless industrial access Presents a clear, credible plan to enable industrial access.
Domestic technology strategy Provides concrete and compelling strategies to incorporate Canadian technologies and innovations.
Broader ecosystem collaboration Demonstrates meaningful current engagement and collaboration within the broader AI and supercomputing ecosystem, and a credible plan to expand these ecosystem relationships, with mechanisms to align activities with national priorities.
Policy and service coordination Plans to coordinate operations, policies, and service delivery with existing DRI organizations and service providers to ensure a coherent, user-centered national ecosystem rather than duplicative or fragmented services.
Industrial access Clarity and robustness of plans to allocate compute capacity for industrial R&D, including eligibility criteria, prioritization mechanisms, and alignment with Canadian innovation and commercialization objectives.
Canadian technologies testbed Extent to which the application acts as a testbed for Canadian technologies, with explicit consideration given to the use of Canadian-owned or -based hardware, software, infrastructure, and service providers (including facilities, system integration, and supply-chain and start-up partners) to prioritize domestic capability development, sovereignty, and long-term ecosystem growth.
Fiscal responsibility Demonstrates efficient and responsible use of public funds, including a clear rationale for proposed expenditures, credible and transparent cost assumptions, and evidence that the scale, performance, and anticipated benefits of the project are proportionate to the level of public investment.
Complementary funding Ability to attract and secure complementary funding to enhance the project's overall scale, sustainability, and long-term value. This includes commitments or credible plans to leverage funding from other levels of government, industry partners, and other external sources.
Attract and retain talent Approach to cultivating, attracting, and retaining top AI and advanced computing talent in Canada, with a focus on the skills and expertise required to build, operate, and optimize large-scale AI computing infrastructure.
Additional economic benefits Credibility of anticipated spillover economic benefits, including job creation, workforce and skills development, impacts on local and national supply chains, and contributions to regional and national economic growth.
Footnote *

Note: these assessment categories are common to both Technical Execution Criteria and Priorities Alignment Criteria

Return to footnote * referrer

Detailed description of program layers

To ensure national coordination and seamless access for users across Canada, the successful recipient of the Infrastructure Build Layer will be required to work closely with the selected National Service Layer provider, to fully integrate the new compute infrastructure into the existing national DRI ecosystem through the National Service Layer.

The following table is intended to help both Build and Service layers to think through the services that need to be developed to support a cohesive, end-to-end user experience—from system access and onboarding, to data management, security, and ongoing user support—and to clearly identify roles, responsibilities, and areas requiring close coordination to enable effective integration and delivery.

Service category Specific service Assigned layer
Research consulting Grant proposal and Canadian Foundation for Innovation (CFI) conditional support Service
Research consulting Deep Support and AI solutions Service
Research consulting Project scoping, navigation, consulting, concierge Service
Training and skills development Workshops and short courses Service
Training and skills development Self-paced/on-demand learning Service
Training and skills development Custom training Service
Training and skills development National learning management system (LMS) platform Service
Training and skills development National training discovery Service
Training and skills development National DRI curriculum Service
User support Helpdesk Service
User support Onboarding, account management, renewal Service
User support Resource allocation Service
User support User Interface (UI)/User experience (UX), user portal, system portals Service
User support Documentation Service
Data services Data management planning Service
Data services Repositories Service
Data services Curation Service
Data services Discovery and persistent identifier Service
Data services Active data management Service
Data services Digital preservation service Service
AI compute services AI and machine learning compute as a service Collaboration
Research software and tools National software repository (CERN Virtual Machine File System) Collaboration
Research software and tools Platforms and portals Collaboration
Security, compliance and trust Identity and access management Collaboration
Security, compliance and trust Cybersecurity posture Collaboration
Security, compliance and trust Risk management and incident response Collaboration
Security, compliance and trust Compliance and certification Collaboration
Governance and knowledge sharing Governance of services and processes Collaboration
Governance and knowledge sharing Internal communication and reporting for service operations Collaboration
System administration Scheduling Build
System administration System image and provisioning Build
System administration Storage and filesystem management Build
System administration System monitoring, performance, reliability Build
System administration System networking (Infiniband, etc.) Build
System administration Networking (e.g., firewalls) Build
System administration Experimental systems and compute testbed Build
Hardware operations Onsite technical support and maintenance Build
Hardware operations Network hardware Build
Hardware operations Hardware monitoring and performance Build
Data centre operations Data centre management and monitoring Build
Data centre operations Physical access management Build
Data centre operations Co-location service Build
Data centre operations Data centre excellence testbed Build