repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 8h 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).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 50%NVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory →
- PossiblePossibly related (embedding) · 50%Top Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop →
- PossiblePossibly related (embedding) · 49%WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs →
- PossiblePossibly related (embedding) · 49%Anthropic’s Claude Available in Microsoft Corporation (MSFT) Foundry Powered by Nvidia GPUs - Insider Monkey →
- PossiblePossibly related (embedding) · 48%Understanding dynamic resource allocation in Kubernetes →
- PossiblePossibly related (embedding) · 53%T-Tech Open-Sources T-Search: High-Performance Agentic Retriever for Multi-Step Search That Runs on a Single GPU - quasa.io →
- PossiblePossibly related (embedding) · 60%Show HN: PantheonGPU – GPU health testing and AI workload benchmarking →
- PossiblePossibly related (embedding) · 49%Kog is going deeper to squeeze more inference out of GPUs →
Covers
newsNVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National LaboratorynewsTop Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott CoopnewsAnthropic’s Claude Available in Microsoft Corporation (MSFT) Foundry Powered by Nvidia GPUs - Insider MonkeynewsUnderstanding dynamic resource allocation in Kubernetes
Implements
Covers (incoming)
newsT-Tech Open-Sources T-Search: High-Performance Agentic Retriever for Multi-Step Search That Runs on a Single GPU - quasa.ionewsShow HN: PantheonGPU – GPU health testing and AI workload benchmarkingnewsKog is going deeper to squeeze more inference out of GPUsnewsFBI considers deploying AI LLM supercomputers with Nvidia B300 GPUs or Google TPUs - Data Center DynamicsnewsAre inference chips replacing GPUs? Investors seem to think so... [D]
Related across the graph
newsUnderstanding dynamic resource allocation in KubernetesnewsShow HN: PantheonGPU – GPU health testing and AI workload benchmarkingnewsAnthropic’s Claude Available in Microsoft Corporation (MSFT) Foundry Powered by Nvidia GPUs - Insider MonkeynewsFBI considers deploying AI LLM supercomputers with Nvidia B300 GPUs or Google TPUs - Data Center DynamicspaperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMsnewsAre inference chips replacing GPUs? Investors seem to think so... [D]newsNVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National LaboratorynewsT-Tech Open-Sources T-Search: High-Performance Agentic Retriever for Multi-Step Search That Runs on a Single GPU - quasa.ionewsKog is going deeper to squeeze more inference out of GPUsnewsTop Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop