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Dataworld, authorized IT and AV reseller in Canada

Local and private AI

AI Workstations for Local AI, Built for Canadian Businesses

Running AI models locally means one thing above all: enough GPU memory and compute to hold the model and keep it responsive. Cloud GPU bills climb quickly once a team moves past a proof of concept, and sending proprietary documents, code, or customer data to a third-party API is not something every business can accept. Local AI and private AI put that capacity on your own hardware, in your own office, under your own control. Dataworld sources the GPU cards, workstations, and Mac Studio systems that make that possible, lists the MSRP up front, and gets you a real, competitive CAD quote from a 47-year Canadian partner, not an anonymous online storefront. We configure it, back it with warranty, and stand behind it after it ships.

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Professional GPU cards

NVIDIA professional cards sourced through PNY and authorized distribution, from the RTX 4000 Ada up to the RTX 6000 Ada (48GB) and RTX PRO 6000 Blackwell, for adding serious model capacity to an existing workstation.

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GPU workstations and towers

Lenovo ThinkStation P-series and Dell Precision workstations built to house a professional GPU, plus GeForce class prebuilt towers such as Lenovo Legion for teams that need raw graphics horsepower.

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Apple Mac Studio and unified memory

Mac Studio with M4 Max, orderable through distribution, for teams already standardized on Apple who want a quiet, compact machine with a large pool of unified memory shared between CPU and GPU.

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Why more teams are moving AI workloads onto their own hardware

Cloud GPU pricing looks reasonable for a proof of concept and gets expensive fast once a team runs models daily. A single workstation with the right GPU pays for itself against a recurring cloud bill within a predictable window, and after that the compute is simply yours. Local hardware also removes the queue: no waiting for an instance to spin up, no shared tenancy slowing a job down at the worst moment. For teams running AI models locally against their own documents, code, or support tickets, keeping the workload in-house is often the more practical choice, not just the more private one.

How to choose: memory is the real constraint, not the badge on the box

The single number that determines which models a machine can run is GPU memory (VRAM) or, on a Mac Studio, unified memory shared between the CPU and GPU. A model that does not fit in memory does not run at a usable speed, no matter how fast the rest of the machine is, so size the memory to the largest model you actually plan to run, not the smallest one you are testing today. From there the form factor follows: a tower workstation such as a Lenovo ThinkStation or Dell Precision suits a desk-side setup with room to add a professional GPU card later, while a Mac Studio suits teams already inside the Apple ecosystem who want a quiet, compact machine with a large pool of unified memory. Tell us what you want to run and we will match the memory and the form factor to it before we quote anything.

What we supply: workstations, professional GPUs, and Mac Studio

As an authorized reseller for Lenovo and Apple, and a source for NVIDIA professional GPUs and Dell Precision workstations through authorized distribution, we cover the range that most AI workloads actually need. On the workstation side, the Lenovo ThinkStation P-series is our strongest line, built to house a professional GPU card and run it reliably for years, with Dell Precision as an alternative platform. For teams that need more graphics horsepower than a workstation card provides, we can also source GeForce RTX 5090 and RTX 4090 class prebuilt towers, such as Lenovo Legion, for workloads where a high-end consumer GPU is an acceptable fit. On the GPU side, PNY-supplied NVIDIA professional cards span the RTX 4000 Ada up through the RTX 6000 Ada (48GB) and the newer RTX PRO 6000 Blackwell, with higher-tier cards sometimes subject to per-deal manufacturer approval that we handle as part of the quote. And for teams standardized on Apple, the Mac Studio with its unified memory architecture is orderable through distribution like everything else here. Warranty and care-pack attach is available across the line.

Keeping sensitive data in-house: residency, privacy, and Loi 25

Some workloads simply cannot go through a third-party API: client files under a confidentiality agreement, health or financial records, source code, or anything a Quebec business handles under Loi 25's privacy obligations. Running the model on hardware in your own office or datacentre keeps that data under your access controls the whole time, with no request logs sitting on somebody else's servers. This is not the main reason to buy an AI workstation, cost and control usually are, but for a business already weighing where sensitive data can go, it is often the point that settles the decision. If your compliance team needs specifics on how a given configuration handles data at rest, we can walk through it before you commit to a quote.

Why buy your AI workstation from Dataworld

Dataworld has sourced business IT hardware for Canadian companies since 1979, which means 47 years of relationships with the distributors and manufacturers who actually build this equipment. We are an authorized partner for Lenovo, Apple, HP, Cisco, Microsoft, and Samsung, and we serve customers in English and French with a dedicated account manager, not a support ticket queue. Every machine we quote can carry a warranty or care-pack attach so a GPU failure eighteen months in does not become your problem to solve alone. We source the configuration, we quote it in CAD, and we stand behind it after it ships, whether that is one workstation for a data science team or a fleet of identical machines for a lab.

What happens after you request a quote

Send us the model or models you plan to run, or just describe the work (fine-tuning, inference for a chatbot, a local coding assistant, image or video generation) and how many people need a machine. We will confirm the memory and GPU tier that actually fits, check current availability through our distribution channel, and reply with a real, itemized CAD quote, usually within hours, not days. If you need several identical units for a team or a lab, tell us the quantity up front and we will price and configure them consistently. There is no obligation to buy from the quote itself, only a straight answer from a person you can call back.

Frequently asked questions

How much GPU memory (VRAM) do I need to run AI models locally?
It depends on the model size, not the brand of the machine. Larger language models need more memory to load and run at a usable speed, so the right approach is to tell us the model or models you plan to run and we will size the GPU or unified memory to fit, with headroom for the next model you will likely want to try.
Can you configure the workstation and ship it ready to use?
Yes. We can install the operating system, drivers, and the base software stack a workstation needs before it leaves distribution, so it arrives ready to load your models rather than ready to be unboxed and configured from scratch.
Do you supply warranty and support on AI workstations?
Yes, warranty and care-pack attach is available across the workstations, towers, and GPU cards we quote, and we remain the point of contact if something needs to be resolved after delivery rather than handing you off to a manufacturer call centre.
Can you provide a quote in French?
Yes. Dataworld is a bilingual Canadian reseller and we quote, correspond, and support in French or English, whichever your team works in.
Do you handle education and public sector purchasing for AI hardware?
Yes, we work with education and public sector buyers on the procurement process their institution requires, including purchase orders and the documentation a funded project typically needs. Tell us your institution's process when you request a quote and we will work within it.
What if I need several identical AI workstations for a team or a lab?
Tell us the quantity up front. We price and configure multi-unit orders consistently, so every machine on the team matches, and we can stagger delivery if your rollout happens in phases.
Does keeping AI workloads on local hardware help with Quebec's Loi 25?
It helps because the data never has to leave hardware you control to reach a third-party API, which simplifies the access-control and data-handling questions Loi 25 raises. It is not a substitute for your own privacy assessment, but it removes one variable, an external processor, from that assessment.

Tell us what you want to run

Describe the workload and we will match the memory, GPU, and form factor, then come back with a real CAD quote.

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Prices shown are manufacturer suggested retail (MSRP). Final pricing is provided on quote.