A hosted API is the right call for most companies most of the time. It's not the right call for everyone. If you're sitting on classified material, regulated health or financial records, or IP you can't risk in a third party's logs, "just call the API" isn't a real option — it's a compliance finding waiting to happen.

That's the work I do here: infrastructure for organizations where the model has to come to the data, not the other way around. If your data can't leave the building, neither should your inference.

What an on-prem build actually requires

This isn't "download a model and run it." Getting open-source inference to hold up under real load, inside your constraints, takes three things done properly.

On-prem / local deployment & hardware builds — sized, procured, and racked (or air-gapped) for the workload you actually have, not a vendor's reference architecture.
Open-source LLM selection & tuning — the right base model for your task and hardware budget, fine-tuned or adapted on your data instead of forced to fit a general-purpose default.
GPU strategy & inference management — utilization, batching, quantization, and routing decisions that determine whether your hardware spend earns its keep or sits idle.

For most companies, the cloud is the right answer. For the ones where it isn't, "we'll figure it out later" isn't a strategy. The data stays inside your walls, or the project doesn't ship.

The four pieces of an on-prem stack.

Hardware, models, GPU strategy, and operations — designed together, not bolted on after a proof of concept.

01 / Deployment

On-prem deployment

Local and air-gapped deployment, sized and built for your actual workload — from a single inference box to a racked cluster behind your firewall.

02 / Models

Open-source LLMs

Model selection, evaluation, and fine-tuning against open-weight LLMs you can host, inspect, and own outright — no vendor API in the critical path.

03 / Hardware

GPU strategy

Right-sized GPU procurement and cluster architecture — capacity planning that matches spend to workload instead of over-buying "to be safe."

04 / Operations

Inference management

Batching, quantization, routing, and monitoring that keep latency and cost in line once the system is live and under real traffic.

On-premOpen-source LLMsGPU strategyInference mgmtAir-gapped optionFull control

From constraint to running cluster.

Fixed scope, fixed price, weekly demos during the build.

01Assess

Map the data and the constraint

We identify exactly what has to stay on-prem and why — regulatory, contractual, or competitive — and size the workload before any hardware gets ordered.

02Select

Choose and benchmark the model

We evaluate open-source LLMs against your task and hardware budget, then tune the model that actually earns its place instead of the one with the biggest name.

03Build

Stand up the hardware and the stack

GPU procurement, deployment architecture, and the inference stack go in together — on-prem or air-gapped, sized to what you'll actually run.

04Operate

Manage inference under real load

We tune batching, quantization, and routing against latency and cost once the system is live, and keep tuning as usage grows.

Markets served.

Remote-first across the United States and internationally — including these markets.

New York City, New York (NY)

Los Angeles, California (CA)

Chicago, Illinois (IL)

Houston, Texas (TX)

Phoenix, Arizona (AZ)

Philadelphia, Pennsylvania (PA)

San Antonio, Texas (TX)

San Diego, California (CA)

Dallas, Texas (TX)

San Jose, California (CA)

Austin, Texas (TX)

Jacksonville, Florida (FL)

Fort Worth, Texas (TX)

Columbus, Ohio (OH)

Charlotte, North Carolina (NC)

Indianapolis, Indiana (IN)

San Francisco, California (CA)

Seattle, Washington (WA)

Denver, Colorado (CO)

Washington, District of Columbia (DC)

Boston, Massachusetts (MA)

El Paso, Texas (TX)

Nashville, Tennessee (TN)

Detroit, Michigan (MI)

Oklahoma City, Oklahoma (OK)

Portland, Oregon (OR)

Las Vegas, Nevada (NV)

Memphis, Tennessee (TN)

Louisville, Kentucky (KY)

Baltimore, Maryland (MD)

Milwaukee, Wisconsin (WI)

Albuquerque, New Mexico (NM)

Tucson, Arizona (AZ)

Fresno, California (CA)

Sacramento, California (CA)

Kansas City, Missouri (MO)

Atlanta, Georgia (GA)

Miami, Florida (FL)

Colorado Springs, Colorado (CO)

Raleigh, North Carolina (NC)

Omaha, Nebraska (NE)

Long Beach, California (CA)

Virginia Beach, Virginia (VA)

Oakland, California (CA)

Minneapolis, Minnesota (MN)

Tulsa, Oklahoma (OK)

Arlington, Texas (TX)

New Orleans, Louisiana (LA)

Wichita, Kansas (KS)

Cleveland, Ohio (OH)

Tampa, Florida (FL)

Bakersfield, California (CA)

Aurora, Colorado (CO)

Honolulu, Hawaii (HI)

Anaheim, California (CA)

Santa Ana, California (CA)

Corpus Christi, Texas (TX)

Riverside, California (CA)

Lexington, Kentucky (KY)

St. Louis, Missouri (MO)

Stockton, California (CA)

Pittsburgh, Pennsylvania (PA)

Saint Paul, Minnesota (MN)

Cincinnati, Ohio (OH)

Greensboro, North Carolina (NC)

Anchorage, Alaska (AK)

Plano, Texas (TX)

Lincoln, Nebraska (NE)

Orlando, Florida (FL)

Irvine, California (CA)

Newark, New Jersey (NJ)

Toledo, Ohio (OH)

Durham, North Carolina (NC)

Chula Vista, California (CA)

Fort Wayne, Indiana (IN)

Jersey City, New Jersey (NJ)

St. Petersburg, Florida (FL)

Laredo, Texas (TX)

Madison, Wisconsin (WI)

Chandler, Arizona (AZ)

Buffalo, New York (NY)

Lubbock, Texas (TX)

Scottsdale, Arizona (AZ)

Reno, Nevada (NV)

Glendale, Arizona (AZ)

Gilbert, Arizona (AZ)

Winston-Salem, North Carolina (NC)

North Las Vegas, Nevada (NV)

Norfolk, Virginia (VA)

Chesapeake, Virginia (VA)

Fremont, California (CA)

Garland, Texas (TX)

Richmond, Virginia (VA)

Baton Rouge, Louisiana (LA)

Boise, Idaho (ID)

San Bernardino, California (CA)

Spokane, Washington (WA)

Des Moines, Iowa (IA)

Modesto, California (CA)

Birmingham, Alabama (AL)

Tacoma, Washington (WA)

Fontana, California (CA)

Oxnard, California (CA)

Fayetteville, North Carolina (NC)

Huntsville, Alabama (AL)

Moreno Valley, California (CA)

Rochester, New York (NY)

Glendale, California (CA)

Yonkers, New York (NY)

Augusta, Georgia (GA)

Amarillo, Texas (TX)

Little Rock, Arkansas (AR)

Akron, Ohio (OH)

Shreveport, Louisiana (LA)

Grand Rapids, Michigan (MI)

Mobile, Alabama (AL)

Salt Lake City, Utah (UT)

Huntsville, Texas (TX)

Tallahassee, Florida (FL)

Overland Park, Kansas (KS)

Knoxville, Tennessee (TN)

Worcester, Massachusetts (MA)

Brownsville, Texas (TX)

New Port Richey, Florida (FL)

Jackson, Mississippi (MS)

Providence, Rhode Island (RI)

Fort Lauderdale, Florida (FL)

Sioux Falls, South Dakota (SD)

Tempe, Arizona (AZ)

Cape Coral, Florida (FL)

Springfield, Missouri (MO)

Pembroke Pines, Florida (FL)

Eugene, Oregon (OR)

Peoria, Arizona (AZ)

Corona, California (CA)

Lancaster, California (CA)

Rockford, Illinois (IL)

Salinas, California (CA)

Palmdale, California (CA)

Springfield, Massachusetts (MA)

Charleston, South Carolina (SC)

Duluth, Minnesota (MN)

London, England (ENG)

Dublin, Ireland (IRE)

Keep your data inside your walls.