Denvr Dataworks

Denvr Dataworks GPU pricing overview

Denvr Dataworks is a specialist GPU cloud provider headquartered in Calgary, Canada. Denvr Dataworks is a Canadian GPU cloud known for highly competitive H100 and A100 on-demand pricing — among the lowest in North America — with data centers in Canada and the US providing North American data residency for cost-sensitive AI training workloads. Simple self-serve provisioning and H200 availability make it a practical choice for teams that need flagship NVIDIA hardware without the premium pricing of larger providers. A strong option for Canadian enterprises and budget-conscious AI labs needing North American GPU infrastructure. Billing is On-demand with a minimum commitment of None. Available regions include CA-West, US. GPU instances can be provisioned on-demand, making Denvr Dataworks suitable for both short-duration experiments and sustained production workloads.

Denvr Dataworks vs other GPU providers

Denvr Dataworks competes with providers including Lambda Labs, CoreWeave, RunPod, Paperspace, Vast.ai, and the major hyperscalers (AWS, Google Cloud, Azure) for GPU compute workloads spanning LLM training, fine-tuning, and inference serving. Key differentiators include: Among the lowest H100 on-demand prices in North America; Canadian data residency; H200 availability. Use the side-by-side comparison tool above to see Denvr Dataworks pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 5 Denvr Dataworks listings alongside 91+ providers in a single sortable view.

Best use cases for Denvr Dataworks

Denvr Dataworks is best suited for: Cost-sensitive training, Canadian data residency requirements, H100/H200 at scale. Support tiers range from Standard, making it viable for both individual researchers and enterprise teams with SLA requirements. There are currently 5 active GPU listings on Denvr Dataworks, covering H100 80GB, H200 141GB, A100 80GB, A100 40GB and more. H100 SXM5 instances with NVLink interconnect are commonly used for large-scale training workloads. A100 40GB and RTX 4090 instances are frequently used for fine-tuning and inference of smaller models.

Denvr Dataworks billing model and cost structure

Denvr Dataworks uses On-demand pricing. Spot (interruptible) instances are available from $0.95/hr — interruptible instances are typically lower-cost than on-demand, suitable for fault-tolerant training jobs with checkpointing. Reserved instance pricing may be available for predictable long-running workloads — check the provider's pricing page for current committed-use rates. Always compare the effective hourly rate including egress, storage, and networking costs when evaluating total cost of ownership across providers.

Choosing the right GPU on Denvr Dataworks

GPU selection depends on model size, precision, and whether your workload is compute-bound or memory-bandwidth-bound. For LLM training above 30B parameters, H100 80GB SXM5 instances with NVLink are the standard choice — high HBM3 bandwidth and FP16 throughput make them well-suited for large transformer workloads. For inference of 7B–13B models in FP16 or BF16, A100 40GB is a common choice on many providers. RTX 4090 instances are widely used for fine-tuning, prototyping, and quantized inference (INT4/INT8) of models up to 70B. Read the H100 vs A100 guide or the GPU benchmarks for ML guide for a full breakdown.

How Denvr Dataworks pricing data is collected

Prices shown are sourced from Denvr Dataworks's public pricing API or pricing page and refreshed every 15 minutes. On-demand rates reflect the current list price for a single GPU instance in the cheapest available region. Spot prices, where available, reflect interruptible instance rates at the time of the last snapshot. All prices are in USD per hour. Daily snapshots are kept in our history archive and visualised in the GPU price history charts — useful for identifying seasonal pricing patterns and evaluating whether current rates are above or below the 30-day average.

Evaluating managed LLM inference APIs as an alternative to self-hosted GPU compute? Compare live LLM token prices across OpenAI, Anthropic, Google, Groq, and many other providers. The cheapest GPU cloud guide covers the break-even analysis between self-hosted and managed inference at different request volumes.