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Google Cloud's startup program provides substantial cloud computing credits specifically designed for AI and ML companies. The program offers access to cutting-edge GPU and TPU hardware including NVIDIA H100, A3 Ultra instances, and TPU v5e accelerators. Credits can be used for AI model training, inference, data processing, and general cloud infrastructure.
The tiered program scales credits based on company stage and backing, making it one of the largest compute credit programs available for AI startups building on foundation models, computer vision, NLP, and other AI applications.
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Or search similar grants →According to the current listing, eligibility includes: VC-backed AI startups up to Series A stage. Must be building AI/ML products or services. Company must have venture capital or accelerator backing to qualify for maximum credit levels. Available globally. Confirm the full requirements in the official notice before applying.
The current listing shows up to $350,000 in Google Cloud credits for VC-backed AI startups up to Series A. Credits provide access to NVIDIA H100 GPUs, A3 Ultra instances, and TPU v5e accelerators for AI model training and inference. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Google Cloud Startup Program for AI and ML Companies with GPU Credits is funded by Google Cloud. 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 Merck Stimulating Innovative Research Grant Program 2026 includes a dedicated grant topic for artificial intelligence in cell culture media and process development, offering up to EUR 150,000 per year for up to 3 years. The program accelerates innovation through collaborative research, early engagement with industry experts, and translation of novel ideas into practical solutions. In 2026, priority areas also include in-vitro models for neuroinflammatory diseases (EUR 250,000/year for 2 years) and innovative approaches to contaminated materials remediation (EUR 150,000/year for 2 years). The two-stage application process begins with non-confidential submissions, followed by deep-dive workshops where finalists collaborate with Merck scientists and managers to jointly optimize proposals. The AI-specific grant focuses on applying machine learning and AI to optimize cell culture media formulation, bioprocess parameter optimization, and manufacturing quality control.
The Sony Research Award Program is Sony's principal channel for funding external academic research, and the Focused Research Award is its collaborative track: up to 150,000 dollars for focused joint research between a university or research institute and Sony. The 2026 research areas are unusually broad for a corporate program and cover most of the modern AI stack alongside Sony's hardware interests - AI and large language models, computer vision, machine learning, robotics, human-computer interaction, affective computing, speech and language technologies, audio technologies, RF sensing, wireless communications, cybersecurity, sports technology, digital humans, generative AI, content creation and neural rendering, plus device-level areas including MicroLED and optical metasurfaces. For AI and robotics groups this makes it one of the wider corporate calls available, though the breadth is deceptive: Sony funds work that connects to its own research agenda, and proposals are strongest when there is an identifiable Sony research counterpart for the collaboration. Eligibility is tightly drawn around the principal investigator rather than the institution. The PI must be a full-time faculty member or researcher at a recognized institution - Assistant Professor, Associate Professor, Professor or equivalent researcher - and must be able to supervise PhD students. Co-PIs are permitted but must be from the same institution and meet the same requirements, which rules out the cross-institutional consortia common in public funding. The 2026 deadline is 15 September 2026 at 11:59pm Pacific, with a separate India-specific time given as 16 September 2026. Submission guidelines are on the Sony Research Award Program site.
The Meta Research PhD Fellowship supports doctoral students conducting research in areas central to Meta's technical agenda, with several of its annual award tracks dedicated to artificial intelligence and machine learning. Current AI-relevant tracks include AI System Hardware/Software Co-Design (high-performance AI algorithms spanning model compression, numerical optimization, benchmarking, and distributed inference and training), Applied Statistics (bias and variance estimation and correction in models and datasets, uncertainty quantification), AR/VR Human Understanding (efficient ML techniques that run on AR/VR devices), and Programming Languages (program synthesis, probabilistic and differentiable programming). Recipients receive two years of paid tuition and fees, a $42,000 annual stipend covering living expenses and conference travel, and a paid visit to Meta headquarters for the annual Fellowship Summit; the award carries no intellectual property claim on the student's research. The 2027 cycle opened August 3, 2026 with applications closing September 20, 2026, reference letters due in October 2026, and winners notified in January 2027.
NSF just committed $380 million to build a national network of AI-programmable, remotely operated laboratories — the Programmable Cloud Laboratories Test Bed (NSF 25-541), the agency's flagship contribution to the Genesis Mission. Twenty nodes, four years, self-driving experiments in chemistry, biology and materials. Here is what it funds, who is eligible, why the 'existing facilities only' rule matters, and how researchers and companies should position for what comes next.
Read articleAs a generation of electricians, welders, and machinists retires with too few replacements, funders have poured more than a half-billion dollars into skilled-trades training — Lowe's $250M, BlackRock $100M, Google $50M, and more. It is one of the clearest philanthropic theses in 2026. Here is the funder landscape, why 'AI-proof' framing is driving it, and how a workforce nonprofit should position to win these grants.
Read articleThe California Civic Media Program is a $20 million public-private fund — $10 million from the state, $10 million matched by Google — that pays local newsrooms on a per-journalist formula: $20,000 for each of the first five FTE reporters, $10,000 for reporters six through twenty, capped at $250,000 per organization. Applications open July 6 and close August 21, 2026. Here is exactly how the formula works, which newsrooms qualify (and which are excluded), and how to position a small newsroom to win.
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