Private AI Deployment & Ops
Who it is for
Enterprise teams paying a recurring token bill that grows with every seat, or that cannot let data leave the building.
What you get
- Hardware sized for your actual workloads, not a vendor’s reference rack.
- Open models deployed and benchmarked against the hosted service you use today.
- Workloads organized by latency, privacy, and cost, so the right model handles each one.
- A $0 marginal cost per token once the system is running. Ops handoff to your team, or ongoing support.
How it runs
Duration: 6 to 10 weeks after a two-week usage audit of your current spend.
Related
AI DevOps covers server and desktop builds, CI, and research-to-production pipelines.
