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Self-hosted inference (vLLM)
Serve open-weight models on your GPUs with OpenAI-compatible APIs and PagedAttention throughput.
AssessPlatform & DevExNew
- Why this ring
- Assess for sovereignty and unit economics once GPU ops and autoscaling exist - not as a day-one shortcut.
- Production risk if ignored
- GPU ops understaffed → outages and idle burn that exceed API bills.
- EU AI Act relevance
- Can support data residency and subprocessor reduction for regulated workloads.
- Typical effort
- months
- High FinOps impact
Use cases
- EU sovereign inference
- High-volume fixed-cost serving
- Open-weight models
Adoption steps
- Benchmark tokens/$ vs API
- Pilot one model on GPU pool
- Autoscaling + OpenCost labels
- Failover to managed API
Related tools
In your assessment
Self-host TCO vs managed API + ops readiness