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Compare GPU pricing between Cudo Compute and QuickPod. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Cudo Compute Price | QuickPod Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • QuickPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3090 24GB VRAM • QuickPod | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4070 12GB VRAM • QuickPod | Not Available | — | ||
RTX 4070 12GB VRAM • | ||||
RTX 4070 SUPER 12GB VRAM • QuickPod | Not Available | — | ||
RTX 4070 SUPER 12GB VRAM • | ||||
RTX 4090 24GB VRAM • QuickPod | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5060 Ti 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5060 Ti 16GB VRAM • | ||||
RTX 5070 Ti 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5070 Ti 16GB VRAM • | ||||
RTX 5080 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5080 16GB VRAM • | ||||
RTX 5090 32GB VRAM • QuickPod | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • QuickPod | Not Available | 2x GPU | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A2000 6GB VRAM • QuickPod | Not Available | — | ||
RTX A2000 6GB VRAM • | ||||
RTX A4000 16GB VRAM • QuickPod | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • QuickPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3090 24GB VRAM • QuickPod | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4070 12GB VRAM • QuickPod | Not Available | — | ||
RTX 4070 12GB VRAM • | ||||
RTX 4070 SUPER 12GB VRAM • QuickPod | Not Available | — | ||
RTX 4070 SUPER 12GB VRAM • | ||||
RTX 4090 24GB VRAM • QuickPod | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5060 Ti 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5060 Ti 16GB VRAM • | ||||
RTX 5070 Ti 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5070 Ti 16GB VRAM • | ||||
RTX 5080 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5080 16GB VRAM • | ||||
RTX 5090 32GB VRAM • QuickPod | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • QuickPod | Not Available | 2x GPU | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A2000 6GB VRAM • QuickPod | Not Available | — | ||
RTX A2000 6GB VRAM • | ||||
RTX A4000 16GB VRAM • QuickPod | Not Available | — | ||
RTX A4000 16GB 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
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.
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.