How does Datacellar compare to TELUS GPU-as-a-Service?
Datacellar matches TELUS's four-tier structure (Single, Small, Medium, Large) but prices every tier 7% lower. You get the same fixed-rate, all-inclusive model — compute, storage, networking included — for less. Single: $6.05 vs $6.50, Small: $12.09 vs $13.00, Medium: $24.18 vs $26.00, Large: $48.36 vs $52.00 per GPU-hour.
What GPU does Datacellar use?
The NVIDIA RTX PRO 6000 Blackwell — 96 GB GDDR7 ECC memory, 24,064 CUDA cores, 1.79 TB/s memory bandwidth, 5th-gen Tensor cores, and up to 4,000 AI TOPS FP4. It supports Universal MIG for partitioning one card into isolated instances.
Should I choose VMs, Kubernetes, or Notebooks?
VMs are best for custom environments requiring full root access. Kubernetes is ideal for production-grade orchestration and distributed training. Notebooks are perfect for rapid prototyping, data science, and model fine-tuning with instant Jupyter access.
Are there hidden fees or egress charges?
No. Datacellar pricing includes compute, storage, and networking. There are no egress charges, no surprise line items. Your fixed monthly rate covers the full stack.
Is my data kept in Canada?
Yes. All workloads run in Datacellar's Kelowna, BC facility, operated by Anitarian Corporation — a Canadian-owned company. Your data never leaves Canadian soil and is subject only to Canadian law.
What reserved terms are available?
1 or 3-year reserved terms with flat monthly billing per GPU. Volume pricing is available for larger commitments. Request a quote for custom sizing.