Private AI Infrastructure · Kitchener–Waterloo, ON
TPU Systems designs, deploys and manages private, on‑premises AI systems for small and midsize businesses. Give your team the power of modern language models — while client files, contracts, patient records and intellectual property stay entirely under your own roof.
Why Private AI
Per‑seat AI bills grow every month, confidential data leaks into public tools, and none of it connects to your own documents with proper permissions.
Source: IBM Cost of a Data Breach Report (shadow‑AI breach findings).
AI Systems
We build every deployment on GIGABYTE enterprise server hardware — NVIDIA‑certified platforms that scale from a desk‑side AI appliance to 10‑GPU rack servers. Photos and specifications courtesy of GIGABYTE.
GIGABYTE AI TOP ATOM
NVIDIA GB10 Grace Blackwell Superchip, 1 petaflop of FP4 compute and 128 GB of unified memory in a compact desktop chassis — runs models up to 200B parameters locally. Ideal for pilots and teams of 8–12.
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GIGABYTE G293‑Z42‑AAP1
Dual AMD EPYC processors, 8 PCIe Gen5 GPU slots and 24 DIMMs of 12‑channel DDR5 in a 2U chassis. Our flagship platform for the typical 32‑user private AI deployment.
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GIGABYTE G294‑Z22‑AAP2
A cost‑efficient single‑socket EPYC platform with eight Gen5 GPU slots — supporting NVIDIA H200 NVL, RTX PRO 6000 Blackwell Server Edition or AMD Radeon AI PRO accelerators.
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GIGABYTE G493‑ZB1‑AAP1
Ten Gen5 GPU slots, 48 DIMMs of DDR5 and 3+1 redundant 3000 W Titanium power supplies for firms that need multi‑model serving, heavy concurrent inference or on‑premises fine‑tuning.
View platformTPU Systems is an independent integrator. Server platforms are designed and manufactured by GIGABYTE Enterprise Solutions.
Services
We sell outcomes, not just hardware. Every engagement covers strategy, security, deployment, integration and ongoing model care.
A structured review of your workflows, data sensitivity, security posture and licensing costs — with a business case you can take to your partners.
8–12 users, 1–2 high‑value workflows, baseline productivity measurement and a 60–90 day evaluation — proving value before full commitment.
GPU server, storage, identity, document ingestion, retrieval‑augmented generation and connectors to Microsoft 365, SharePoint, CRM and file servers — installed and hardened.
Permission‑aware search, summarization and drafting across your internal knowledge base — proposals, reports, contracts and client correspondence drafted in your house style.
Role‑based permissions, encryption, audit logging, prompt‑injection defence and network segmentation — aligned to the NIST AI Risk Management Framework.
24/7 monitoring, model updates and evaluation, backup and disaster recovery, helpdesk support and quarterly governance reviews — so the system keeps improving.
Who We Serve
The firms that benefit most are 20–150 employees strong, with repetitive knowledge work and information they cannot risk exposing to public AI services.
Client financial records, tax files and recurring document work — searchable and automatable in‑house.
Privileged documents, contract review and discovery support without waiving confidentiality.
Policy documents, claims correspondence and underwriting workflows across client records.
Administrative documentation and patient‑data workflows that stay inside your walls.
Proprietary drawings, specifications, tenders and project correspondence under your control.
SOPs, quality records, maintenance history and engineering documentation on the shop floor's terms.
Procurement data and controlled information with the residency your contracts demand.
Client financial information and compliance documentation, kept private by design.
How We Work
No six‑figure surprises. We prove value with a small paid pilot before you commit to the full platform.
A free, structured assessment of your workflows, data sensitivity, security requirements and current AI spend — concluding with a written business case.
8–12 users on one or two high‑value workflows for 60–90 days, with baseline productivity measurement, response‑quality testing and security validation.
Hardware installed, documents ingested, connectors configured, permissions mapped, staff trained. Production‑ready in weeks, not quarters.
24/7 monitoring, model updates and evaluation, backups, helpdesk and quarterly governance reviews under a fixed annual plan.
The Business Case
A private AI platform is an asset that pays back through productivity, risk reduction and predictable cost — not just avoided subscriptions.
32 employees saving just 20 minutes per workday at a loaded cost of US$40/hour is roughly US$106,000 of annual theoretical value — a far stronger justification than replacing US$8,000–20,000 of subscriptions.
Uncontrolled employee use of public AI tools creates shadow‑AI exposure. Controlled, audited, on‑premises data flows turn AI governance from a liability into a control — aligned to the NIST AI Risk Management Framework.
A fixed platform investment serves more users and heavier workloads without per‑seat or per‑token fees. Usage grows; your bill doesn't.
Drafting proposals, summarizing large document sets, extracting structured data from invoices and forms, and first drafts of contracts or correspondence — done in your templates, on your data.
A US$150,000 platform should deliver US$100,000–150,000 of annual measurable benefit to be comfortably justified. We build that model with you before you commit. Reference: NIST AI Risk Management Framework.
Next Step
Book a free 30‑minute consultation. We'll map your workflows, estimate your business case and propose a pilot that proves value before you commit to the full platform.