NVIDIA offers free AI inference credits to developers via NIM API

NVIDIA's free-credits program gives developers 1,000 inference credits on signup — expandable to 5,000 on request — to run AI inference on Blackwell and Hopper GPUs via NIM (NVIDIA Inference Microservices). The endpoints are OpenAI-compatible, a deliberate compatibility play that lets developers already building on OpenAI's API redirect to NVIDIA infrastructure with minimal code changes.
The move is a developer-acquisition and ecosystem-lock-in strategy, complementing NVIDIA's higher-profile revenue-share program for startups announced the same week. Where revenue-share targets fast-growing companies, free credits target the individual developer and experimentation layer, seeding NIM adoption at the grassroots.
The context is competitive pressure on inference — the biggest cost center in AI — from rivals like Etched ($5B valuation, 'frontier inference clusters') and Cerebras (whose OpenAI capacity deal reportedly killed the waitlist for others, per r/MachineLearning). By subsidizing entry and offering OpenAI-compatible endpoints, NVIDIA aims to make its stack the path of least resistance even as challengers promise cheaper, faster inference. The caveat is that free credits are a familiar acquisition tactic and the real test is retention economics once developers exhaust them and face NVIDIA's pricing against alternatives. Watch conversion rates and whether NIM becomes a default inference layer.