Open-source Dynamo deployment guide with benchmarks on a 16×H100 cluster
TheZachMueller · x · 2026-09-20
Junup Park and Jaga Prasanna published an open-source deployment guide for NVIDIA Dynamo on a 2-node, 16×H100 cluster (provided by Lambda). It includes runbooks for standing up K8s/Dynamo from scratch, networking debugging (RoCE, NVLS), model caching, NIXL/Grafana monitoring, and benchmarks on vLLM and SGLang quantifying what P/D disaggregation, KV-aware routing, CPU KV offload, parallelism, and autoscaling actually deliver for production LLM inference.
More from Infra
- Local Qwen 27B fixes commercial app bug on first try at ~2x Claude Opus speed — julianharris · 2026-09-20
- Reddit debate: multi-agent systems still lack a production-grade communication substrate — One_Two_2229 · 2026-09-20
- Prediction: open on-prem models to handle majority of sensitive inference by 2031 — QuixiAI · 2026-09-20
- Celesto open-sources persistent cloud computers for AI agents, booting microVMs in milliseconds — aniketmaurya · 2026-09-20
- Kubernetes learning series: logging, monitoring and Helm explained in videos — _jaydeepkarale · 2026-09-20
- Dev shares video series that finally made Kubernetes click: why it exists — _jaydeepkarale · 2026-09-20