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Compare GPU pricing between Cudo Compute and Seeweb. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.26/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Seeweb Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Seeweb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Seeweb | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeSeeweb | ↓$0.40(18.3%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/12/2026 ★Best Price $2.19/hour Updated: 9/12/2026 Price Difference:↓$0.40(18.3%) | ||||
H200 141GB VRAM • Seeweb | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Seeweb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeSeeweb | ↓$0.12(11.7%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 9/12/2026 ★Best Price $0.99/hour Updated: 9/12/2026 Price Difference:↓$0.12(11.7%) | ||||
MI300X 192GB VRAM • Seeweb | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX A6000 48GB VRAM • Seeweb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Seeweb | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Seeweb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Seeweb | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeSeeweb | ↓$0.40(18.3%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/12/2026 ★Best Price $2.19/hour Updated: 9/12/2026 Price Difference:↓$0.40(18.3%) | ||||
H200 141GB VRAM • Seeweb | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Seeweb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeSeeweb | ↓$0.12(11.7%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 9/12/2026 ★Best Price $0.99/hour Updated: 9/12/2026 Price Difference:↓$0.12(11.7%) | ||||
MI300X 192GB VRAM • Seeweb | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX A6000 48GB VRAM • Seeweb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Seeweb | Not Available | — | ||
RTX PRO 6000 96GB 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
Hourly billing with no minimum commitment, pay only for what you use
Scale from 1 to 8 GPUs per instance across all available models
Full Terraform support for automated provisioning and management
Native Kubernetes support for orchestrating GPU workloads
High-bandwidth network connectivity for data-intensive workloads
REST API for server, spot instance, template and snapshot management, with manual or automatic snapshots
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 GPU cloud servers with hourly billing and flexible configurations.
Managed serverless GPU inference service billed on usage, without provisioning a full instance.
NPU-accelerated cloud servers for AI inference workloads alongside the GPU lineup.
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
Pay-per-hour billing with no commitment
Discounted hourly rate with 3-month commitment
Further discounted rate with 6-month commitment
Best rate with annual commitment
Reclaimable spare-capacity GPU instances at reduced rates, with termination notice and the option to promote a spot instance to a standard one
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.
Register on the Seeweb platform
Choose GPU model and quantity (1, 2, 4, or 8 GPUs)
Launch your cloud GPU server and start using it
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 Milan (Italy), Frosinone (Italy), Lugano (Switzerland), and Sofia (Bulgaria)
24x7x365 service desk with three support levels (Basic, Global, Proactive) plus pre-sales engineering