DZ Labs runs NVIDIA Blackwell servers in Cologix data centers in Vancouver, British Columbia. RTX PRO 6000 nodes are available today; HGX B200 capacity arrives Q4 2026 – Q1 2027 and is open for reservation. No hardware to buy, no long-term lock-in.
Every node is yours alone: no virtualization, no shared GPUs. Delivered as plain SSH, Slurm or Kubernetes. RTX PRO 6000 nodes are live today; HGX B200 nodes can be reserved ahead of delivery.
Tell us how many nodes you need, for how long, and when you'd like to start. We confirm a delivery window and hold that capacity for you. Reserved customers get first access when the hardware comes online, and pricing is agreed before anything is committed.
GPUs, NVLink and local NVMe are all yours. You get the performance on the spec sheet, not a slice of it.
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.
Our racks sit in Cologix's carrier-neutral Vancouver data centers: audited facilities, Canadian data residency, and low latency to the US West Coast.
One clear invoice in US dollars. No egress fees on the quote you didn't see coming.
DZ Labs deploys its GPU servers inside Cologix's Vancouver data center campus rather than a private server room. You get enterprise-grade power, cooling, physical security and connectivity from day one, and your workloads stay on Canadian soil.
Cologix facilities undergo annual independent audits. Reports can be made available to customers under NDA for your own compliance reviews.
Certifications and attestations are held by Cologix for its data center operations. DZ Labs is a Cologix colocation customer; Cologix is a trademark of Cologix, Inc.
Fine-tune and run LoRA / QLoRA jobs on multi-GPU RTX PRO 6000 nodes now. Reserve HGX B200 nodes for full-scale distributed training with FSDP, DeepSpeed or Megatron when they land.
96 GB per GPU fits 70B-class models in FP8 or 4-bit on a single card. Serve with vLLM, SGLang or TensorRT-LLM, and scale out across GPUs in the same node.
Skip the six-figure hardware purchase. Start on one invoice, stop when the experiment ends.
GPU type, node count, duration, and whether you need cluster networking. We reply with a quote within one business day.
Sign the service agreement. We image the nodes with your drivers, CUDA, container runtime or scheduler.
Receive node addresses and keys and start running. Engineers stay on call; billing follows actual usage.
Tell us about your workload and we'll come back within one business day with current pricing and availability.
[email protected]Vancouver, British Columbia, Canada