repoGitHubTrust 82 · PrimaryPublished 5d agoLive · 4d ago

last9/gpu-telemetry

GPU Observability with workload attribution. One OTLP agent per node ties hardware metrics (NVIDIA, AMD, Intel Gaudi) to the K8s pod or Slurm job burning the GPU.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsNVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory newsTop Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop newsAnthropic’s Claude Available in Microsoft Corporation (MSFT) Foundry Powered by Nvidia GPUs - Insider Monkey newsUnderstanding dynamic resource allocation in Kubernetes

Implements

paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs

Related across the graph

newsUnderstanding dynamic resource allocation in Kubernetes newsAnthropic’s Claude Available in Microsoft Corporation (MSFT) Foundry Powered by Nvidia GPUs - Insider Monkey paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs newsNVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory newsTop Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop

Topics

ai amd dcgm gpu gpu-monitoring gpu-observability helm intel-gaudi-base-operator kubernetes llm-observability