ONPREMBENCH / OUR REASON TO EXIST

A new era of AI.
On your premises.

A community around complete AI machines: hardware, models, applications and the people who operate them. Make their possibilities visible, from an office box to a confidential test bench or shared company infrastructure.

IT STARTED IN AN OFFICE

We brought the machines in.
Then the real work began.

Putting our AI in a Box stack on GB10 and GB300 brought hardware and software challenges. When we showed the actual boxes and what we were doing with them, other practitioners started sharing their own experience.

Privacy, security and control over token costs repeatedly drove those conversations. This Lab makes the machines tangible and the operating knowledge shareable.

Read the story behind the Lab Founding field record

Start with the real machine

See the workstation, understand its constraints and explore the configurations people are running.

Build the knowledge together

Publish a setup, investigate a failure or contribute a correction. Keep the author and the evidence visible.

Make ownership practical

Understand privacy boundaries, secure operation and the full cost of useful tokens. Grow from a box to larger company infrastructure.

A PRACTICAL MIDDLE PATH

A physical machine.
Models and applications inside.
AI capacity you can operate.

The entry point is a complete AI system a professional can inspect, select and build on. Privacy, security and token economics connect its technical capabilities to the reasons businesses adopt it.

01 / CLOUD SERVICES

Access managed models

Choose when the service meets your data, quality and operating requirements.

02 / THE LAB’S STARTING POINT

Own a complete AI system

A complete workstation, the right stack and a tested deployment. Explore NVIDIA, AMD, Apple and Qualcomm systems, from deskside boxes to engineering systems and larger configurations.

Explore the machines

03 / DEDICATED INFRASTRUCTURE

Build for greater scale

Add racks, networking and operating capacity as the workload justifies them.

WHY UNDERSTAND TECH

We encountered the gap by deploying.

Putting AI in a Box on GB10 and GB300 exposed software and hardware challenges. Customer conversations and the response to real machines showed a need for practical, accessible knowledge.

The Lab turns that experience into a shared resource that other practitioners can challenge and improve.

Explore field experience

Requirements before hypeQuality, data boundaries and service levels determine what is suitable.

Evidence before promisesMake the environment, limitations and source of every result clear.

Everyone can contributePractitioners, companies, suppliers and software builders.

BUILD WITH THE ECOSYSTEM

Complement the tools people already use.

Hugging Face connects models, libraries and developers. NVIDIA publishes platform playbooks. Puget Systems publishes practical workstation tests. The Lab focuses on complete machines and their deployment records: hardware, software, operating conditions and the people contributing what they learn.