AI-First Seed (Series A-track)
Compute-heavy AI startup, seed heading into early Series A
Compute is your biggest cost, so stack every cloud and AI-infra credit you can. Join NVIDIA Inception before the clouds, then layer model providers, inference platforms, and a vector database.
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Join first — it improves your AWS/GCP AI terms and gets you GPU access.
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The AI tier is far larger than the standard Founders credit — apply specifically for it.
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Google’s AI/Scale track is one of the largest single credit pools available — pursue it in parallel with AWS.
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Direct-apply tier; demonstrate Claude is core to the product to unlock the larger amounts.
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Stack the Ramp rewards OpenAI credit, plus apply to any direct researcher/startup access.
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Open-model inference and fine-tuning credits tiered by how much you’ve raised.
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Serverless GPU compute credits — great for bursty training/inference without managing infra.
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Managed vector DB for retrieval — free Standard tier plus startup credits.
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Atlas plus Voyage embeddings if you’d rather keep vectors next to your operational data.
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Observability for a compute-heavy system — catch runaway GPU spend early.
Eligibility & how to apply
Other playbooks
Bootstrapped AI Product
$15K–$50K in immediate credits
Solo or small team, no VC, building an AI-first product
Seed-Funded B2B SaaS
$500K+ in effective value
Seed-stage B2B SaaS with institutional funding
International (Non-US) Founder
$200K+ in credits + a Delaware C-Corp
Founder building a US entity from outside the US
Compliance-First (Enterprise Sales)
$500K+ in value + audit readiness
B2B SaaS selling into enterprise that requires SOC 2 / ISO / HIPAA