GS-DOC-01About the firm

An engineering firm, not a reseller.

GPU Smith exists to answer one question with rigor: should you build private AI compute, and to what specification. Everything about how the firm is structured follows from making that answer trustworthy.

§ 01What we do

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.

§ 02Structural independence

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.

The firm is not affiliated with any hardware vendor, cloud provider or government body. Our recommendations are our own; NVIDIA does not review or approve them.

§ 03How we are organized

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.

§ 04Who we work with

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.

§ 05What we publish

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.

The articles publish the data behind our assessments: GPU street prices, cloud rental rates, own-versus-rent cost comparisons and hardware sizing guides, each with its sources cited.

§ 06Contact

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