An engineering firm, not a reseller.

GPU Smith specifies, procures, integrates and validates private AI infrastructure, from a single inference node to a multi-megawatt compute hall, on NVIDIA reference architectures, worldwide. Every engagement is delivered against written acceptance criteria and closes with an as-built documentation set.

Work begins with a fixed-scope engineering assessment: workload characterization, total cost of ownership against cloud and API baselines, a reference architecture with an itemized bill of materials, and a build or no-build recommendation issued in writing. The fee is credited in full against the build if it proceeds.

Advice about hardware is only worth what the adviser stands to gain from the answer. We keep that number at zero by construction:

• No reseller quota. We hold no sales targets from any hardware vendor.
• No cloud of our own. We do not profit if you rent instead of build, or build instead of rent.
• Procurement margin disclosed at 100 percent. When we buy hardware for a client, the margin is stated in the statement of work.
• A no-build recommendation is a successful engagement. It is issued in writing like any other deliverable.

GPU Smith holds a Preferred-tier membership in the NVIDIA Partner Network for access to training and technical documentation. The membership carries no sales quota and no revenue commitment, and it does not make our recommendations NVIDIA's. Beyond that, the firm is not affiliated with any hardware vendor, cloud provider or government body.

GPU Smith carries the compute engineering disciplines in house: cluster architecture, hardware integration, fabric validation, serving optimization and datacenter operations. Electrical, mechanical and thermal engineering are delivered through vetted partner firms under GPU Smith coordination and a single statement of work, so the client holds one contract and one accountable party.

Three mandates cover most of our work: government and regulated enterprises whose data cannot leave their boundary, AI teams whose API and rented-GPU spend has passed the ownership crossover, and investors conducting technical due diligence on AI datacenter and GPU-cloud assets. Engagements in healthcare, finance, legal and defence environments routinely run under NDA, with air-gap capable delivery where the mandate requires it.

The hardware index documents the parts that reach our bills of materials. Every datasheet cites its sources and carries a verification date; where the industry reports a range instead of a number, the sheet says so. We would rather publish a gap than a guess.

Enquiries and assessment requests: gpusmith.com/contact or [email protected].