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Compare GPU pricing between Cudo Compute and Paperspace. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $4.16/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Paperspace Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputePaperspace | ↓$4.16(69.9%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/13/2026 ★Best Price $5.95/hour Updated: 9/13/2026 Price Difference:↓$4.16(69.9%) | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
Quadro P4000 8GB VRAM • Paperspace | Not Available | — | ||
Quadro P4000 8GB VRAM • | ||||
Quadro P5000 16GB VRAM • Paperspace | Not Available | — | ||
Quadro P5000 16GB VRAM • | ||||
Quadro RTX 4000 8GB VRAM • Paperspace | Not Available | — | ||
Quadro RTX 4000 8GB VRAM • | ||||
Quadro RTX 5000 16GB VRAM • Paperspace | Not Available | — | ||
Quadro RTX 5000 16GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputePaperspace | ↓$4.16(69.9%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/13/2026 ★Best Price $5.95/hour Updated: 9/13/2026 Price Difference:↓$4.16(69.9%) | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
Quadro P4000 8GB VRAM • Paperspace | Not Available | — | ||
Quadro P4000 8GB VRAM • | ||||
Quadro P5000 16GB VRAM • Paperspace | Not Available | — | ||
Quadro P5000 16GB VRAM • | ||||
Quadro RTX 4000 8GB VRAM • Paperspace | Not Available | — | ||
Quadro RTX 4000 8GB VRAM • | ||||
Quadro RTX 5000 16GB VRAM • Paperspace | Not Available | — | ||
Quadro RTX 5000 16GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB 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
Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.
Serve machine learning models as scalable API endpoints.
High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.
Features for teams to collaborate on projects, including shared drives and SSO.
Offers persistent storage that can be shared across different machines and notebooks.
Programmatic access to the Paperspace platform to automate workflows.
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.
Virtual machines with a wide range of NVIDIA GPUs for various workloads.
Managed Jupyter notebooks for interactive development and experimentation.
A serverless product for deploying trained models as REST APIs.
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.
Sign up for a Paperspace account. You can start with a free plan.
Select the product that best fits your needs, such as Gradient Notebooks for interactive development or Core Machines for more control.
Choose a pre-configured template for your desired framework and select a GPU or CPU instance.
Launch your machine or notebook and begin building, training, or deploying your AI applications.
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 are located in the US (Secaucus, NJ and Santa Clara, CA) and Europe (Amsterdam, NL).
Support is available through a community forum, extensive documentation, and a support ticket system.