LLM Tensor Parallel Inference Deployment: Reducing Cross-GPU Jitter with Parallelism, NCCL, and Topology Awareness
A practical guide to Tensor Parallel, Pipeline Parallel, NCCL communication, and topology-aware tuning for large model cross-GPU inference deployment. Covers parallelism selection, node networking, stress testing metrics, and pre-launch checks to help teams reduce multi-GPU service jitter.