NVIDIA NIM Free API Access
Source: https://build.nvidia.com/models
Description
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+ 1 NVIDIA provides free access to 213+ AI models through their NIM (NVIDIA Inference Microservices) platform at build.nvidia.com. The free tier uses rate limits (not credits) for prototyping and development. Available models include DeepSeek V3.2, Llama 3.1, Mistral, Qwen, Gemma, and many more. Members of the free NVIDIA Developer Program can also self-host NIM containers on up to 2 nodes / 16 GPUs for dev and testing.
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+ 2
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+ 4
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+ 5 1. Go to build.nvidia.com and click Sign In / Sign Up.
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+ 6 2. Create an NVIDIA account (email + password) or sign in with Google/GitHub.
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+ 7 3. You are automatically enrolled in the NVIDIA Developer Program (free).
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+ 8 4. Browse the model catalog and click any model to get an API endpoint and try it in the playground.
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+ 9 5. Generate an API key from your account settings to use NIM endpoints programmatically.
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+ 10 6. The API is OpenAI-compatible -- use it as a drop-in replacement in most LLM frameworks.
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+ 11
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+ 13
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+ 14 Key models accessible via free API endpoints:
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+ 15
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+ 16 CategoryNotable Models
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+ 17 LLMsDeepSeek V3.2, DeepSeek R1, Llama 3.1 (8B/70B/405B), Mistral 7B/Large, Qwen 3.5 397B, Kimi K2.5
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+ 18 CodeCodeLlama, StarCoder variants
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+ 19 Vision/MultimodalLLaVA, Phi-3-Vision, NVIDIA VILA
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+ 20 EmbeddingsNV-Embed, E5-Large
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+ 21 SpeechParakeet, Canary ASR models
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+ 22 Image GenerationSDXL, Stable Diffusion variants
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+ 23 SpecializedDrug discovery, weather simulation, autonomous vehicles
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+ 24
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+ 26
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+ 27 ResourceLimit
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+ 28 API accessRate-limited (varies by model)
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+ 29 Rate limit~40 RPM (requests per minute) across most models
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+ 30 Self-hosting (Developer Program)Up to 2 nodes / 16 GPUs for dev/test
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+ 31 API compatibilityOpenAI-compatible endpoints
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+ 32 Commercial usePrototyping and development only
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+ 33 Production useRequires NVIDIA AI Enterprise license (~$4,500/GPU/year)
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+ 34
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+ 36
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+ 37 • Credit system was discontinued in late 2025 and replaced with rate limits. Older references to "1,000 credits" or "5,000 credits" are outdated -- the platform now uses per-model rate limits instead.
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+ 38 • OpenAI-compatible API means you can use NIM as a drop-in replacement in LangChain, LlamaIndex, OpenAI SDK, and most other frameworks by just changing the base URL and API key.
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+ 39 • Self-hosting is the hidden gem: Developer Program members can download NIM containers and run them on their own hardware (RTX workstations, data centers, or cloud VMs) for free during development.
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+ 40 • 90-day AI Enterprise trial is available if you need production-grade deployment with support and commercial licensing.
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+ 41 • The model catalog is massive (213+ models from 46+ publishers) -- far more variety than most free API tiers.
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+ 42 • Models are optimized with TensorRT-LLM for fast inference on NVIDIA hardware.
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+ 43 • Rate limits vary by model -- popular models like DeepSeek and Llama may have tighter limits during peak hours.
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+ 44 • Great for benchmarking and comparing models since you can try dozens of LLMs through a single API without managing any infrastructure.
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+ 45
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+ 46 Sources:
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+ 47 • https://developer.nvidia.com/nim
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+ 48 • https://build.nvidia.com/models
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+ 49 • https://developer.nvidia.com/blog/access-to-nvidia-nim-now-available-free-to-developer-program-members/
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+ 50 • https://docs.api.nvidia.com/nim/docs/product
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+ 51 • https://forums.developer.nvidia.com/t/request-more-4-000-credits-option-on-build-nvidia-com/344567
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