AI and GPU

Private language models on premises

A language model that runs entirely inside your network. It is designed so prompts and documents stay inside your network, and you decide who can use it and what is logged.

What we do

Scope of the work

  • Select open models that fit your tasks and your GPUs
  • Serve them behind an API compatible with common client libraries
  • Add authentication, per-team limits and audit logging
  • Connect internal applications and a chat interface
  • Plan model updates and evaluation
What you receive
  • A private model endpoint inside your network
  • Access control and usage logs
  • An evaluation of the chosen models on your tasks

Billed at $150.00 per hour. Ask Keith for an estimate.

Field notes

What we check first.

Licenses

Open models carry different licenses. We check that the one you choose allows your use.

Evaluate on your work

Public benchmarks say little about your documents. We test on samples you provide.

No silent egress

We verify that the serving stack makes no outbound calls.

How an engagement runs

Four steps, written down.

I
Scope

A call with Keith

You describe the goal, the estate and the deadline. Keith turns it into a written scope with an hour estimate at the hourly rate.

II
Design

A written design by Gus

Gus reviews the environment and gives you a written design with each decision and its reason.

III
Build

Hands-on implementation

Gus implements in your tenant and your racks, remotely or on site, with every change logged as it is made.

IV
Hand over

Documents and a named contact

You receive the as-built record and the runbooks. Keith stays on as your account and project manager.

Questions

Asked before every engagement.

Is a private model as good as a hosted one?

For many internal tasks, such as summarizing, drafting, classification and search over documents, a well-chosen open model is enough. For the hardest reasoning tasks, hosted frontier models are stronger.

How many GPUs do we need?

It depends on the model and the number of concurrent users. We size it after a short evaluation.

What does the consulting cost?

Consulting is billed at $150.00 per hour. Keith sends a written hour estimate after the scoping call, and work starts when you approve it.

Rate and contacts

One rate. Two people.

Consulting is billed at $150.00 per hour. Keith runs sales, project management and your account. Gus does the architecture, the design and the implementation.

Hourly rate
$150.00

per consulting hour, for every consulting service

Sales, project management and account management

Keith

keith@apexvanguard.ai
Architecture, design and implementation

Gus

gus@gusitllc.com

Independent practice, not affiliated with Microsoft. Azure Local consulting is part of the infrastructure consulting practice of Gus IT LLC, an independent firm. It is not affiliated with, endorsed by or sponsored by Microsoft Corporation, Dell Technologies, Fortinet or any other vendor named on this site. Microsoft, Azure, Azure Local, Azure Stack HCI, Azure Arc, AKS, Azure Virtual Desktop, Hyper-V and Windows Server are trademarks of Microsoft Corporation. Dell, PowerEdge, PowerSwitch and iDRAC are trademarks of Dell Inc. Microsoft Entra, Active Directory, SQL Server, FSLogix and BitLocker are also trademarks of Microsoft Corporation. Fortinet and FortiGate are trademarks of Fortinet, Inc. VMware and vSphere are trademarks of Broadcom Inc. Kubernetes is a registered trademark of The Linux Foundation. PostgreSQL is a trademark of the PostgreSQL Community Association of Canada. Linux is the registered trademark of Linus Torvalds. All other marks belong to their respective owners and are used for description only. Product capabilities follow each vendor's documentation and change between releases; we confirm the current state during scoping.