Accelerating inference with NVIDIA B200 GPUs

This post details the introduction and technical advantages of NVIDIA B200 GPUs on the Baseten platform for AI inference. It highlights performance gains such as 5x higher throughput, over 50% lower cost per token, and up to 38% lower latency for large LLMs like DeepSeek-R1. The post discusses the B200's hardware specifications, its ability to run FP4 quantization for efficient inference, and its compatibility with fast inference frameworks like TensorRT-LLM, SGLang, and vLLM. It also outlines the four key components for a high-performance production inference service on B200s: model performance optimization, distributed GPU infrastructure, model management tooling, and AI engineering expertise.