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Production AI Radar
Kubernetes for AI workloads
Running training and inference on shared K8s clusters with GPU scheduling.
AssessPlatform & DevEx
- Why this ring
- Right for platform-mature teams. Assess whether managed endpoints or serverless inference fit better first.
- Production risk if ignored
- GPU scheduling contention and noisy neighbors take down inference during peak load.
- Typical effort
- months
- High FinOps impact
Use cases
- Multi-model serving
- Shared GPU pool
- Platform engineering
Adoption steps
- TCO vs managed endpoints
- GPU quota per team
- KServe or custom serving
- FinOps labels day one
Related tools
In your assessment
Platform fit assessment + TCO comparison