Scaling frontier LLM inference across GPU nodes opens unauthenticated control-plane ports: our benchmark on Ray + vLLM on Kubernetes
As frontier model inference scales beyond single 8xH100/H200 boxes into multi-node pipeline and tensor parallelism, models rely heavily on distributed frameworks like Ray, KubeRay and vLLM. We benchmarked a multi-node distributed LLM cluster on AWS EKS to inspect the runtime network surface and see…
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- 2026-09-29 09:47 · r/ArtificialInteligence
Scaling frontier LLM inference across GPU nodes opens unauthenticated control-plane ports: our benchmark on Ray + vLLM on Kubernetes