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The Digital Research Alliance of Canada's Accelerated AI Investments program deploys up to $40 million in the 2025-2026 fiscal year to provide dedicated AI compute resources for Canadian researchers. The initiative makes GPU clusters including NVIDIA H100 and A100 hardware available through national HPC facilities including Narval, Cedar, Graham, and Niagara.
Resources support AI model training, large language model fine-tuning, computer vision research, and other compute-intensive AI workloads. The program is part of Canada's broader Pan-Canadian AI Strategy which has invested over $2 billion since its launch. Allocations are processed through the Alliance's Resource Allocation Competition (RAC) and Rapid Access Service (RAS) pathways.
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Or search similar grants →According to the current listing, eligibility includes: Canadian researchers at eligible academic institutions, including faculty members and their research groups. Graduate students and postdoctoral fellows may access resources through their supervising faculty member's allocation. Must be affiliated with a Canadian university or research institution. Confirm the full requirements in the official notice before applying.
The current listing shows up to $40 million total program investment for 2025-2026 fiscal year in dedicated AI compute resources. Individual allocations provide access to GPU clusters including NVIDIA H100 and A100 hardware at no cost to approved researchers. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Digital Research Alliance of Canada National AI Compute Rapid Deployment Initiative is funded by Digital Research Alliance of Canada. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
DARPA-PS-26-04, published February 25, 2026 by the Tactical Technology Office, restructures the contract around three phases — Phase 0 Backbone (6 months), Phase 1 Base (12 months), Phase 2 Option (18 months) — and culminates in an instrumented flight-test campaign. The solicitation is not really about T&E. It is about the digital-twin and uncertainty-quantification middleware DoD needs for any AI-enabled combat system.
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