AI Compute · Vancouver, BC

Dedicated GPU compute,
billed by the hour.

DZ Labs runs NVIDIA Blackwell and Hopper servers in British Columbia, Canada. Bare-metal nodes for training, fine-tuning and inference, with no hardware to buy and no long-term lock-in.

8× GPUNVLink-connected nodes
1 hminimum billing unit
USDsimple, transparent invoices
24/7engineer on call
node-bc-01 · HGX B200 RUNNING
GPU8 × NVIDIA B200 · 192 GB HBM3e each
GPU memory1,536 GB total
InterconnectNVLink · NVSwitch
CPU / RAM2 × server CPUs · 2 TB DDR5
StorageLocal NVMe · shared storage optional
Network400 GbE · public IP
GPU util—
G0
G1
G2
G3
G4
G5
G6
G7
uptime — region ca-west · BC
Hardware

Available configurations

Every node is yours alone: no virtualization, no shared GPUs. Rent a single node or a multi-node cluster, delivered as plain SSH, Slurm or Kubernetes.

Mainstream

HGX H200Hopper · 8 GPU node

  • GPU memory141 GB HBM3e × 8
  • Node total1,128 GB
  • InterconnectNVLink 4
  • Best for70B+ inference, fine-tuning
Hourly · monthlyContact us for current pricing
Value

HGX H100Hopper · 8 GPU node

  • GPU memory80 GB HBM3 × 8
  • Node total640 GB
  • InterconnectNVLink 4
  • Best forMid-size training, batch inference
Hourly · monthlyContact us for current pricing
Workstation · in stock

RTX PRO 6000Blackwell Workstation Edition

  • GPU memory96 GB GDDR7
  • Per node1–4 GPUs
  • InterconnectPCIe Gen 5
  • Best forSingle-GPU inference, dev & experiments
Hourly · monthlyContact us for current pricing
Why DZ Labs

Built for teams that need the whole machine

BARE METAL

Nothing shared, nothing throttled

GPUs, NVLink and local NVMe are all yours. You get the performance on the spec sheet, not a slice of it.

FLEXIBLE

Hourly to reserved

Run a short experiment by the hour, or lock in a monthly or reserved rate for a long training job. Pay for what you use.

CANADA · BC

Hosted in British Columbia

Stable, mostly hydroelectric power and Canadian data residency, close to the US West Coast with low latency.

TRANSPARENT

Priced in USD, no surprises

One clear invoice in US dollars. No egress fees on the quote you didn't see coming.

Use cases

What people run here

Training and fine-tuning

Multi-node NVLink clusters with fast networking for FSDP, DeepSpeed and Megatron-style distributed training.

Inference serving

Enough memory per GPU to serve 70B-class models on a single card, with vLLM or TensorRT-LLM.

Research and startups

Skip the six-figure hardware purchase. Start on one invoice, stop when the experiment ends.

How it works

Three steps to a running node

STEP 1

Tell us what you need

GPU type, node count, duration, and whether you need cluster networking. We reply with a quote within one business day.

STEP 2

Confirm and provision

Sign the service agreement. We image the nodes with your drivers, CUDA, container runtime or scheduler.

STEP 3

Get SSH access

Receive node addresses and keys and start running. Engineers stay on call; billing follows actual usage.

Contact

Get a quote or request a trial

Tell us about your workload and we'll come back within one business day with current pricing and availability.

Emailaccount@dzlabs.ca
LocationVancouver, British Columbia, Canada

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