NVIDIA NIM

NVIDIA NIM provides containers to self-host GPU-accelerated inferencing microservices for pretrained and customized AI models across clouds, data centers, RTX AI PCs and workstations. NIM microservices expose industry-standard APIs for simple integration into AI applications, development frameworks, and workflows. Built on pre-optimized inference engines from NVIDIA and the community, including NVIDIA TensorRT and TensorRT-LLM, NIM microservices optimize response latency and throughput for each combination of foundation model and GPU.

How it works?

NVIDIA NIM simplifies the journey from experimentation to deploying AI applications by providing enthusiasts, developers, and AI builders with pre-optimized models and industry-standard APIs for building powerful AI agents, co-pilots, chatbots, and assistants. Built on robust foundations, including inference engines like TensorRT, TensorRT-LLM, and PyTorch, NIM is engineered to facilitate seamless AI inferencing for the latest AI foundation models on NVIDIA GPUs from cloud or datacenter to PC.