launcher
01Agent
Submits a 2-node ORBIT-2 training (AMD Instinct MI355X) with PyTorch profiling and Omnistat user-mode telemetry, waits for completion, and writes manifest.json for downstream subagents.
11 tagged earth science, measured the same way as everything else here.
Browse within: ai-for-science 11amd 11drug-discovery 11fine-tuning 11healthcare 11
Agent
Submits a 2-node ORBIT-2 training (AMD Instinct MI355X) with PyTorch profiling and Omnistat user-mode telemetry, waits for completion, and writes manifest.json for downstream subagents.
Agent
Drive omnistat-inspect (PR #271) through the analyze-job phases on the user-mode VictoriaMetrics database, then map findings to the bottleneck taxonomy.
Agent
Independently re-derive the top 2-3 claims from omnistat/claims.json by issuing raw PromQL via curl against the same VictoriaMetrics endpoint, at the finest sampling step. Optionally probe one cheap remedy on a 1-node interactive srun.