Service · Deployment
P8Private LLM Deployment.
The inference stack on your infrastructure. Model optimisation so it performs. Identity and network controls so it's safe. Observability so you can operate it. Runbooks so your team can too.
Outcomes
What changes when the engagement lands.
Production private AI
The stack live on your infrastructure. Performing at spec. Under your control.
Operable by your team
Runbooks written. Admins trained. Handover documented.
Observable, not opaque
Live monitoring. Alerting. Usage analytics. Nothing running you can't see.
Backup and failover in place
The deployment doesn't fail silently. Failover paths designed and tested.
Deliverables
What's in the engagement.
Deploy the LLM inference stack on client infrastructure — with model optimisation, identity and network controls, observability, backup and failover, documented runbooks, and admin training.
Deployed inference stack
Model deployed. Optimised for the target hardware. Load-tested.
Identity and network controls
Integrated with your SSO and network policy. Least-privilege access enforced.
Observability
Metrics, logs, and traces. Alerting configured. Dashboard for the ops team.
Runbooks and admin training
Documented procedures for common operational tasks. Admin team enabled through hands-on training.
How we deliver
Fixed scope. Named phases. Duration on the cover.
The engagement is priced against the outcome, not open-ended hours. Every phase has a duration, a named deliverable, and a check-out.
Total duration6 to 12 weeks
Sales cycle8 to 14 weeks
- 011 to 2 weeks
Deployment prep
Environment readiness confirmed. Access provisioned. Deployment plan finalised.
- 023 to 6 weeks
Deploy and optimise
Stack deployed. Model optimised for hardware. Load-tested. Identity and network integration.
- 031 to 2 weeks
Observability and runbook
Monitoring and alerting configured. Runbooks written.
- 041 to 2 weeks
Handover
Admin training. Documented handover. Sign-off.
Built for
Buyers this engagement fits.
Typical buyer
CTO, CIO, Head of Infrastructure
CTOs whose architecture spec called for private deployment
P7 said do it here, with this stack, on this hardware. This is the doing.
Regulated enterprises whose data can't leave the environment
The API path isn't available to you. This is what replaces it.
Related services
Where this leads next.
Private Deployment Architecture & Sizing
Workload modelling. Hardware spec. TCO against API spend. Procurement-ready specification.
Air-Gapped Deployment
Everything in P8, plus offline install and update. Dependency mirror. Isolation validation. DR.
Managed Private AI
Monitoring. Patching. Adapter refresh. Governance. Named support with SLA.
Talk to us.
45 minutes on your operation and the engagement you have in mind. No pitch, no deck.
By briefing only
This engagement is scoped one to one.
This engagement requires a delivery team assembled against your specific scope. Every engagement starts with a direct conversation, not an open form. Email us and we'll route it to the right lead.