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Compare GPU pricing between Cudo Compute and Denvr Dataworks. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.51/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Denvr Dataworks Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo ComputeDenvr Dataworks | 4x GPU | ↑+$0.35(+30.4%) | ||
A100 PCIE 40GB VRAM • $1.50/hour Updated: 9/13/2026 $1.15/hour 4x GPU configuration Updated: 9/11/2026 ★Best Price Price Difference:↑+$0.35(+30.4%) | ||||
A100 SXM 80GB VRAM • Denvr Dataworks | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Denvr Dataworks | Not Available | 4x GPU | — | |
A40 48GB VRAM • Not Available $0.65/hour 4x GPU configuration Updated: 9/11/2026 ★Best Price | ||||
Gaudi 2 96GB VRAM • Denvr Dataworks | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • Not Available $1.25/hour 8x GPU configuration Updated: 9/11/2026 ★Best Price | ||||
GH200 96GB VRAM • Denvr Dataworks | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeDenvr Dataworks | 8x GPU | ↓$0.66(26.9%) | ||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/13/2026 ★Best Price $2.45/hour 8x GPU configuration Updated: 9/11/2026 Price Difference:↓$0.66(26.9%) | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo ComputeDenvr Dataworks | 4x GPU | ↑+$0.35(+30.4%) | ||
A100 PCIE 40GB VRAM • $1.50/hour Updated: 9/13/2026 $1.15/hour 4x GPU configuration Updated: 9/11/2026 ★Best Price Price Difference:↑+$0.35(+30.4%) | ||||
A100 SXM 80GB VRAM • Denvr Dataworks | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Denvr Dataworks | Not Available | 4x GPU | — | |
A40 48GB VRAM • Not Available $0.65/hour 4x GPU configuration Updated: 9/11/2026 ★Best Price | ||||
Gaudi 2 96GB VRAM • Denvr Dataworks | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • Not Available $1.25/hour 8x GPU configuration Updated: 9/11/2026 ★Best Price | ||||
GH200 96GB VRAM • Denvr Dataworks | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeDenvr Dataworks | 8x GPU | ↓$0.66(26.9%) | ||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/13/2026 ★Best Price $2.45/hour 8x GPU configuration Updated: 9/11/2026 Price Difference:↓$0.66(26.9%) | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Dedicated access to NVIDIA GPUs including GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 in SXM and PCIe form factors
Multi-node GPU clusters for training and inference, commissioned to acceptance criteria before entering production
Infrastructure across the UK, EU, North America, APAC, and the Middle East with in-region options for latency, residency, and regulatory needs
Foundational SRE included as standard with 24/7 monitoring, incident response, firmware management, and NVIDIA escalation paths
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Controlled environments for enterprise and regulated workloads with jurisdictional control and sovereign data residency enforcement
NVIDIA Blackwell, Hopper and Ampere GPUs alongside Intel Gaudi 2 accelerators
Granular billing for on-demand workloads in addition to reserved contracts
Provision managed applications, virtual machines in 1x to 8x GPU configurations, or direct bare-metal hosts
Up to 1,024 GPU clusters connected by 3,200 Gbps non-blocking InfiniBand with tenant-isolated VPC networking
Deploy foundation or custom models on dedicated GPU endpoints with OpenAI API compatibility
Fully managed NVMe shared storage and petabyte-scale shared filesystems for AI workloads and large datasets
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
Dedicated multi-node GPU clusters for high-performance training and inference.
InfiniBand and Ethernet fabrics with high-performance storage for cluster workloads.
On-demand or reserved GPU compute across bare metal, virtual machines, and containers
Fully managed model endpoints on dedicated GPU capacity
Hourly per-GPU billing for virtual machine instances with no commitment
GPU systems in the published catalog are priced on request, with enquiries handled by the sales team
Consumption-based commercial structures for predictable spend on long-term deployments
Multi-year structures with defined upgrade paths across GPU generations and into multi-site environments
Per-minute billing for self-serve GPU instances
Discounted longer-term commitments on dedicated clusters
Submit an enquiry from the pricing or contact page describing your workload, capacity, and region requirements.
Select a jurisdiction in the UK, EU, North America, APAC, or the Middle East to meet latency, residency, and compliance needs.
Cudo produces an NVIDIA reference-aligned architecture covering InfiniBand fabric, storage, power, cooling, and rack layout.
Systems are sourced through OEM channels including Dell, Lenovo, Supermicro, and HPE, then installed at power-ready sites against confirmed timelines.
Clusters are commissioned to acceptance criteria and operated with 24/7 monitoring, incident response, and firmware management.
Sign up at the Denvr Cloud console
Choose from on-demand instances, reserved clusters or bare-metal nodes
Provision via console or API and connect over SSH or supported orchestrators
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Enterprise SLAs with 24/7 infrastructure monitoring, L3 incident response, and lifecycle operations delivered by NVIDIA-certified engineers; sales and technical enquiries via the contact page.
Data centers in Canada and the United States
Documentation with user guides and API references, global help desk via web ticketing or email, Slack or Teams channels on enterprise tiers, and Solution Engineers for platform integration and troubleshooting