eAccelerate — Five checks before deploying private AI

1. Workload: Define representative prompts and expected outputs.
2. Memory and cooling: Measure under load with the model and context you plan to use.
3. Network path: For a cluster, verify the intended RDMA rails carry real traffic.
4. Full request: Time an application request, including loading and first-token latency.
5. Recovery and access: Test restart and rollback; review endpoint access.

Discuss your setup: accelerate42@icloud.com
https://e-accelerate.github.io/ai-studio-setup/