NVIDIA NIM
Designed for rapid, reliable deployment of accelerated generative AI inference anywhere.
NVIDIA NIM is a set of prebuilt, optimized inference microservices and containers for deploying generative AI and foundation models on NVIDIA-accelerated infrastructure, with options for NVIDIA-hosted API endpoints and self-hosted production deployments through NVIDIA AI Enterprise.
Recent stories
MiniMax open-sourced M2.7 and published coding and agent benchmark claims including 56.22% SWE-Pro and 57.0% Terminal Bench 2. Day-zero support from SGLang, vLLM, Ollama Cloud, Together AI, and NVIDIA NIM makes it easy to try on common serving stacks.
NVIDIA introduced a coalition of labs and platform vendors to co-develop open frontier models, including Mistral, LangChain, Perplexity, Cursor, Reflection, Sarvam, and Black Forest Labs. Watch it if you want open-model efforts tied to DGX Cloud, NIM, and production tooling instead of weights alone.