AI and GPU

AI on Azure Local

Some data cannot leave the building. We design and build AI workloads on Azure Local so that models run next to your data, on GPUs you control.

What we do

Scope of the work

  • Choose which workloads belong on premises and which belong in Azure
  • Size GPUs, memory and storage for the models you plan to run
  • Serve models on AKS with GPU node pools
  • Build retrieval over your own documents
  • Set access control, logging and usage limits
What you receive
  • A working model serving environment on your cluster
  • A sizing and cost record
  • An operating guide: updates, monitoring and access

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

Field notes

What we check first.

Start from the use case

The model size follows the task. Many business tasks run well on models that fit one modest GPU.

GPU memory is the limit

A model must fit in GPU memory with room for the context. That number drives the hardware choice.

Preview features

Several Microsoft AI services for Azure Local are still in preview. We tell you which, and design so you are not stuck if they change.

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.

Do we need Azure Local to run AI on premises?

No, but it gives you managed Kubernetes, GPU node pools and central management through Azure, which saves building those yourself.

Can on-premises models work with Azure AI services?

Yes. A common design keeps sensitive data and inference on site and uses Azure for workloads that are allowed to leave.

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.