In the AI inference landscape, NVIDIA B200 GPUs have emerged as a game-changer for accelerating high-traffic endpoints with 5x higher throughput, more than 50% lower cost per token, and up to 38% lower latency for serving large LLMs like DeepSeek-R1. The new architecture offers better raw specs, faster inference frameworks like TensorRT-LLM, SGLang, and vLLM, and even improved FP4 quantization for efficient and accurate inference. To unlock these benefits, developers need to consider model performance optimization, distributed GPU infrastructure, model management tooling, and AI engineering expertise. With Baseten's support, users can get started with B200 GPUs today and accelerate their inference workloads for huge volumes of traffic.