AWS Imagine Grant Program 2026-2027 for Nonprofits Advancing AI-Driven Social Impact Solutions

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.

Thinking Machines Lab is awarding Interactivity Research Grants to advance AI 'interactivity' — the capacity of a model to communicate in real time across different modalities for human collaboration. Each grant provides $100,000 plus $25,000 in Tinker compute credits. Priority areas include evaluation benchmarks for real-time multimodal interaction, safety mechanisms for such systems, generative UI for explaining complex results, and techniques for human steering of AI agents during extended tasks; proposals beyond these directions are welcome. The program targets researchers advancing foundation-model interactivity and human-AI collaboration.

The F5 2026 STEM and AI Education Grants support nonprofits implementing STEM and AI education initiatives that prepare youth and underserved learners in Africa, Asia, and Latin America for the AI-driven economy. Funded organizations design programs that introduce AI literacy, foundational computational thinking, applied machine-learning projects, ethics of AI use, and pathways into STEM careers for students who would otherwise lack access. F5 prioritizes culturally adapted curricula, community-led delivery, partnerships with local schools and universities, and approaches that explicitly include girls, refugees, rural learners, and other underrepresented groups. Funded projects must demonstrate measurable learner outcomes and a clear sustainability plan beyond the grant period.

NVIDIA's K-12 AI Education Pledge, announced at a White House event aligning with the executive order on Advancing Artificial Intelligence Education for American Youth, commits $25 million to scale AI literacy in U.S. K-12 classrooms. The initiative integrates NVIDIA Deep Learning Institute (DLI) and NVIDIA Academy content through two K-12 learning platforms, Study Fetch and CK-12, tailoring hands-on AI experiences for high school students and educators. In year one NVIDIA focuses on curriculum development, platform integration, educator training, institutional engagement, and outreach efforts. The stated reach target is 1 million K-12 students within three years, supporting AI literacy, foundational machine learning skills, and pathways into the AI economy. The pledge complements NVIDIA's prior commitments of $30 million to the National AI Research pilot (NAIRR) and ongoing NSF partnerships supporting academic AI research.