Private AI Inference Platform

Scope of work

• Framing of the intended uses, the data involved and the level of confidentiality required.
• Deployment of the inference engine and a single access interface.
• Document indexing pipeline and vector store, fed from your own repositories.
• Access control, per-team quotas and request logging.
• Measurement of throughput, latency and accelerator memory usage.

Deliverables

• Platform deployed on your own infrastructure, with its scaling procedure.
• Model register: origin, checksum of the weights file, storage format and commissioning date.
• Documented, repeatable indexing pipeline, with its reindexing procedure.
• Operating documentation, monitoring dashboards and rollback procedure.

Technologies

• Open serving engines and verifiable weight formats, deployed as containers.
• Open source vector stores and indexing pipelines, backed by your existing storage.
• Monitoring with Prometheus, Grafana and Loki, wired into your alerting chain.

Where business knowledge belongs

Terms

Ten to thirty days depending on whether the engagement covers the serving platform alone or the whole chain with indexing and monitoring, fixed price after framing. Deployment takes place on GPU infrastructure we size, or on a platform you already run.

We deploy and operate the platform; the choice of models, the quality of their answers and the use made of them remain with your teams.

How the engagement runs

Phase 1 — Framing

• Priority uses, document volume and expected request throughput.
• Data involved, confidentiality and location constraints.

Phase 2 — Serving platform

• Installation of the inference engine and vector store on the target platform.
• Access control, per-team quotas and request logging.

Phase 3 — Commissioning

• Indexing of the first repositories and acceptance on an agreed set of questions.
• Throughput, latency and memory usage measured under representative load.

Phase 4 — Handover

• Operating documentation, model register and version upgrade procedure.
• Training your teams on reindexing, monitoring and rollback.