MLOps / experiment & observability
Training telemetry and LLM observability tooling
Weights & Biases (acquired by CoreWeave in 2025), MLflow, and LLM-observability tools (LangSmith, Arize, Braintrust, Helicone) instrument training runs and production inference for cost, quality and drift. This telemetry layer is how labs and enterprises actually manage multi-thousand-GPU runs and agent reliability.
Training
W&B (CoreWeave), MLflow
LLM obs
LangSmith, Arize, Braintrust
How it fits the stack
MLOps / experiment & observability with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
MLOps / experiment & observability in the AI stack. MLOps / experiment & observability with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 3 entities, 2 relationships
- MLOps / experiment & observability —supplies→ CoreWeave (financing)
- Anthropic —supplies→ MLOps / experiment & observability