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.

Stackable AI upskilling program for enterprises: train AI users, managers, workflow automators, AI developers, and AI operators with outcome-based tracks. Covers AI literacy, prompt-to-workflow automation, Bedrock API development, RAG, AI agents, model fine-tuning, LLMOps, security/guardrails, FinOps, and open-source enterprise platforms (vLLM, LangGraph, vector search).