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Discovery and sizing.
Map workloads, models, concurrency, latency, availability and growth before the infrastructure is finalised.
A tailored deployment, not a SaaS sign-up. We size and configure private inference, validate the operational controls and hand over a documented API for the applications your team already owns.
Standard onboarding ends with an accepted inference environment, a validated API handoff and a documented maintenance plan.
Map workloads, models, concurrency, latency, availability and growth before the infrastructure is finalised.
Translate the approved design into enterprise Supermicro infrastructure fulfilled through a distributor-backed channel.
Validate rack, power, cooling, network, identity, certificates, storage and the agreed support-access posture.
Configure approved models, routes, policies, credentials, observability, updates, backup and recovery.
Benchmark the supported routes and validate the documented API with one representative customer-owned application.
Deliver the runbook, train administrators and begin the agreed monitoring, update and capacity-review cadence.
The supported core provides managed private inference and a documented API contract. Your applications, permissions, data and workflows remain under your control and outside the standard Product.
Model serving, inference gateway, Console, identity, observability layer, metadata-only audit, offline updates, backup and recovery.
Chat Completions is the documented API protocol your applications use to access approved local models while the application experience stays under your control.
Delivered original first-party Product source is source-available and can be used and changed internally under the unmodified PolyForm Internal Use License 1.0.0. Third-party components retain their upstream licences. Maintenance controls future qualified releases, recovery retrieval and support, not the current runtime.
A controlled Admin action pauses Application inference at the Product edge while keeping the Console, identity, audit, hardware monitoring, backup and recovery available.
Each stage has explicit owners and exit criteria. Standard delivery concludes with operational acceptance and a documented API handoff.
Document workload patterns, model requirements, concurrency, latency, availability, data sensitivity and capacity growth. The result is an approved infrastructure design and a clear responsibility boundary.
Tailored to: your workloads, models and operating requirementsLLM Machines translates the approved design into a bill of materials and coordinates enterprise Supermicro fulfilment through a distributor-backed channel. Availability, lead time and applicable manufacturer or distributor warranty terms are documented before ordering.
Accepted when: configuration, fulfilment and warranty path are approvedRack, power, cooling, network, DNS, NTP, certificates, identity, storage, backup targets and the approved support-access posture are validated. Hardware health and throughput tests must pass before inference configuration begins.
Tailored to: your site, security and network postureApproved models, routes, aliases, context limits, credentials, quotas and access policies are configured alongside the Console, identity, observability, update, backup, recovery and isolation controls.
Tailored to: your approved models, policies and capacity limitsBenchmark the supported model routes and validate credentials, quotas, observability, metadata-only audit, updates, backup, recovery and isolation. One customer-owned application completes an API smoke test using the documented Models and Chat Completions endpoints.
Accepted when: operational controls and the representative API request passAdministrators receive the as-built configuration, runbooks and training for routes, credentials, alerts, updates, backup and recovery. The agreed monitoring, maintenance and capacity-review cadence begins after sign-off.
Tailored to: your operating windows, support access and review cadenceExplicit ownership for every onboarding activity. R = Responsible (does the work) · A = Accountable (signs off) · C = Consulted · I = Informed.
| Activity | Us | Client IT | Application Owner | Operator |
|---|---|---|---|---|
| Pre-flight & questionnaire | A / R | R | C | I |
| Hardware rack & power | C | R / A | I | I |
| First boot & release verification | R / A | C | I | I |
| Network, TLS, DNS | C | R / A | I | I |
| IdP federation | R | A / R | I | I |
| Inference core configuration | R / A | C | I | C |
| Application credentials & model scope | R | C | A / R | C |
| API handoff smoke test | R | C | A / R | C |
| Admin training | R / A | A | I | I |
| Customer application operation | C | I | A / R | R |
| Optional application integration | R | C | A | C |
| Day-2 operations | C | A / R | C | R |
What security, IT and business teams usually need to know before scheduling an on-prem AI rollout.
You need workload and capacity requirements, infrastructure constraints, identity details, approved models, application owners and representative API requests for validation.
Yes. Signed offline release bundles, local model bundles and signed manual update bundles support deployments without a public-internet dependency.
The appliance supports standard enterprise identity federation through OIDC or SAML, with role mapping for Admin and Operator access.
Your chosen applications connect through the documented Chat Completions protocol, while your team keeps control of the application experience and workflow.
A good pilot has real users, clear success criteria, representative workload patterns and enough operational depth to validate the full deployment.
Discovery, a sized infrastructure design, controlled deployment, API acceptance and ongoing maintenance from one accountable team.