Learn how to benchmark LLM inference using NVIDIA GenAI-Perf and vLLM on GPU infrastructure. This guide walks developers and platform teams through setting up a single-node inference stack, measuring latency and token throughput, understanding KV cache and batching behavior, and building a Grafana-based observability pipeline. Ideal for engineers learning LLM inferencing and teams operating production-grade inference platforms.

Deploying DeepSeek-V3.2-Exp on NVIDIA H200 wasn’t plug-and-play—it was an engineering workout. This guide walks through GPU selection, environment setup with PyTorch + CUDA 12.8, vLLM configuration, warm-up behavior, and common NCCL issues. Includes validated Prometheus + Grafana monitoring, test scripts, and real metrics from a working 8×H200 run. Perfect for developers reproducing high-end MoE inference.

As artificial intelligence continues to reshape industries, the foundational technologies enabling its deployment—cloud infrastructure...