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Microsoft for Startups Founders Hub provides AI startups with tiered Azure cloud and GPU credits along with technical tools and support. Any software startup can join the self-serve entry tier starting at $1,000 in credits with no funding required, while higher tiers scale up to $150,000 in Azure credits for startups with a venture capital or accelerator referral.
Credits provide access to H100 and A100 GPUs via ND-series virtual machines, Azure Machine Learning, and Azure AI services, along with access to OpenAI models on Azure. Applications are accepted on a rolling basis with no fixed deadline.
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Or search similar grants →According to the current listing, eligibility includes: Software and AI startups; self-serve tier open to any qualifying startup, with higher credit tiers requiring venture capital or accelerator affiliation. Startups must not have previously received equivalent Microsoft startup benefits. Confirm the full requirements in the official notice before applying.
The current listing shows azure credits ranging from $1,000 at the self-serve entry tier up to $150,000 for startups with venture capital or accelerator affiliation. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Microsoft for Startups Founders Hub with Azure Cloud and GPU Credits for AI Startups is funded by Microsoft. 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 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.
The Nature Awards AI for Discovery recognize the growing role of artificial intelligence in advancing science and solving global problems, supporting AI-based research across health, life sciences, energy, environment, agriculture, manufacturing, and infrastructure. Four winning teams each receive a US$10,000 development grant along with international exposure, training opportunities, and participation in a global symposium and gala in London in November 2026. The awards spotlight innovative applications of AI and machine learning that accelerate scientific discovery and address pressing societal and environmental challenges.