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Compare GPU pricing between Cudo Compute and Zettabyte. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.72/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Zettabyte Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeZettabyte | ↓$0.72(28.7%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/5/2026 ★Best Price $2.51/hour Updated: 8/30/2026 Price Difference:↓$0.72(28.7%) | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeZettabyte | ↓$0.72(28.7%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/5/2026 ★Best Price $2.51/hour Updated: 8/30/2026 Price Difference:↓$0.72(28.7%) | ||||
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
Launch GPU instances quickly and scale to hundreds on-demand.
Designed for large-scale training with predictable capacity.
Custom clusters tailored for specific security and procurement needs.
Utilizes a bid/ask system to ensure optimal pricing on GPU resources.
Ensures 99.9% uptime SLA with transparent incident reporting.
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.
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
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.
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Select between on-demand, reserved clusters, or private cloud.
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Fill in details for account management and payment.
Follow prompts to deploy your chosen compute resource.
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.