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AWS Activate provides AI startups with cloud credits to build and scale on AWS infrastructure, including access to high-performance GPU instances for AI/ML training and inference. The program offers tiered credit amounts: startups affiliated with recognized accelerators (Y Combinator, Techstars, 500 Startups, and others) can access up to $100,000 in credits, while self-funded startups can receive smaller allocations.
Credits cover the full range of AWS services including EC2 P5 instances with NVIDIA H100 GPUs, G6e instances with RTX 4090 GPUs, Amazon SageMaker for ML model training, Amazon Bedrock for foundation model access, and AWS Trainium/Inferentia chips for cost-optimized AI workloads. The program also includes AWS technical support, architecture guidance, and access to the AWS startup ecosystem. Credits typically expire after 1-2 years.
This is distinct from the AWS Cloud Credit for Research program (academic-focused) and the AWS Imagine Grant (nonprofit-focused), serving specifically the startup and early-stage company community through Series B.
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Search similar grants →Based on current listing details, eligibility includes: Startups from pre-seed through Series B stage. Higher credit tiers require affiliation with a recognized accelerator or VC introduction. Must have a live product or active development. No specific revenue requirements for base tier. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $100,000 in AWS cloud credits depending on accelerator tier. Includes access to P5/H100 and G6e/RTX 4090 GPU instances. Credits typically valid for 1-2 years. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The Google.org Impact Challenge: AI for Science is a $30 million global open call to fund nonprofits, social enterprises, and academic institutions using artificial intelligence to accelerate breakthroughs in health and climate science. The challenge funds organizations applying AI to two priority domains: Health and Life Sciences (drug discovery, diagnostics, epidemiology, genomics) and Climate Resilience and Environmental Science (climate modeling, biodiversity monitoring, sustainable agriculture, carbon capture). Individual grants range from $500,000 to $3 million. Beyond funding, selected organizations gain access to technical mentorship from Google AI researchers, Google Cloud computing resources, and a multi-month accelerator programme. Applications close April 17, 2026. This is part of Google.org's broader $60 million commitment to AI impact challenges in 2026, alongside the separate AI for Government Innovation challenge.
Google.org's AI for Science Impact Challenge is a $30M global open call to empower researchers and organizations with funding, tools, and technical expertise to accelerate scientific breakthroughs using AI. Selected organizations receive between $500K and $3M USD and can participate in a Google.org Accelerator with dedicated pro bono technical support from Google experts and Google Cloud credits. Focus areas include AI for Health and Life Sciences (genomics, brain mapping, disease understanding) and AI for Climate Resilience and Environmental Science (biodiversity, agriculture, living systems). The multi-month accelerator program supports high-impact solutions leveraging generative AI and agentic capabilities.