Paperspace vs TensorDock
Compare GPU and LLM inference API pricing between Paperspace and TensorDock. Find the best rates for AI training, inference, and ML workloads.
Paperspace
Provider 1
TensorDock
Provider 2
Comparison Overview
Average Price Difference: $0.56/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Paperspace Price | TensorDock Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • TensorDock | Not Available |  $1.50/hr★ Best | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • PaperspaceTensorDock |  $1.15/hr★ Best | $1.80/hr | ↓$0.65(36.1%) | |
A100 SXM 80GB VRAM • Paperspace$1.15/hour Updated: 4/6/2026 ★Best Price TensorDock$1.80/hour Updated: 4/7/2026 Price Difference:↓$0.65(36.1%) | ||||
H100 SXM 80GB VRAM • PaperspaceTensorDock | $2.24/hr★ Best | $2.25/hr | ↓$0.01(0.4%) | |
H100 SXM 80GB VRAM • Paperspace$2.24/hour Updated: 4/6/2026 ★Best Price TensorDock$2.25/hour Updated: 4/7/2026 Price Difference:↓$0.01(0.4%) | ||||
L40 40GB VRAM • TensorDock | Not Available | $0.95/hr★ Best | — | |
L40 40GB VRAM • | ||||
RTX 3090 24GB VRAM • TensorDock | Not Available | $0.20/hr★ Best | — | |
RTX 3090 24GB VRAM • | ||||
RTX 4090 24GB VRAM • TensorDock | Not Available | $0.35/hr★ Best | — | |
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • TensorDock | Not Available | $0.75/hr★ Best | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A4000 16GB VRAM • PaperspaceTensorDock | $0.76/hr | $0.10/hr★ Best | ↑+$0.66(+660.0%) | |
RTX A4000 16GB VRAM • Paperspace$0.76/hour Updated: 4/7/2026 TensorDock$0.10/hour Updated: 4/7/2026 ★Best Price Price Difference:↑+$0.66(+660.0%) | ||||
RTX A5000 24GB VRAM • Paperspace | $1.38/hr★ Best | Not Available | — | |
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • PaperspaceTensorDock | $0.94/hr 8x GPU | $0.45/hr★ Best | ↑+$0.49(+110.0%) | |
RTX A6000 48GB VRAM • Paperspace$0.94/hour 8x GPU configuration Updated: 4/7/2026 TensorDock$0.45/hour Updated: 4/7/2026 ★Best Price Price Difference:↑+$0.49(+110.0%) | ||||
Tesla V100 32GB VRAM • PaperspaceTensorDock | $1.15/hr 8x GPU | $0.17/hr★ Best | ↑+$0.98(+576.5%) | |
Tesla V100 32GB VRAM • Paperspace$1.15/hour 8x GPU configuration Updated: 4/7/2026 TensorDock$0.17/hour Updated: 4/7/2026 ★Best Price Price Difference:↑+$0.98(+576.5%) | ||||
A100 PCIE 40GB VRAM • TensorDock | Not Available | $1.50/hr★ Best | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • PaperspaceTensorDock | $1.15/hr★ Best | $1.80/hr | ↓$0.65(36.1%) | |
A100 SXM 80GB VRAM • Paperspace$1.15/hour Updated: 4/6/2026 ★Best Price TensorDock$1.80/hour Updated: 4/7/2026 Price Difference:↓$0.65(36.1%) | ||||
H100 SXM 80GB VRAM • PaperspaceTensorDock | $2.24/hr★ Best | $2.25/hr | ↓$0.01(0.4%) | |
H100 SXM 80GB VRAM • Paperspace$2.24/hour Updated: 4/6/2026 ★Best Price TensorDock$2.25/hour Updated: 4/7/2026 Price Difference:↓$0.01(0.4%) | ||||
L40 40GB VRAM • TensorDock | Not Available | $0.95/hr★ Best | — | |
L40 40GB VRAM • | ||||
RTX 3090 24GB VRAM • TensorDock | Not Available | $0.20/hr★ Best | — | |
RTX 3090 24GB VRAM • | ||||
RTX 4090 24GB VRAM • TensorDock | Not Available | $0.35/hr★ Best | — | |
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • TensorDock | Not Available | $0.75/hr★ Best | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A4000 16GB VRAM • PaperspaceTensorDock | $0.76/hr | $0.10/hr★ Best | ↑+$0.66(+660.0%) | |
RTX A4000 16GB VRAM • Paperspace$0.76/hour Updated: 4/7/2026 TensorDock$0.10/hour Updated: 4/7/2026 ★Best Price Price Difference:↑+$0.66(+660.0%) | ||||
RTX A5000 24GB VRAM • Paperspace | $1.38/hr★ Best | Not Available | — | |
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • PaperspaceTensorDock | $0.94/hr 8x GPU | $0.45/hr★ Best | ↑+$0.49(+110.0%) | |
RTX A6000 48GB VRAM • Paperspace$0.94/hour 8x GPU configuration Updated: 4/7/2026 TensorDock$0.45/hour Updated: 4/7/2026 ★Best Price Price Difference:↑+$0.49(+110.0%) | ||||
Tesla V100 32GB VRAM • PaperspaceTensorDock | $1.15/hr 8x GPU | $0.17/hr★ Best | ↑+$0.98(+576.5%) | |
Tesla V100 32GB VRAM • Paperspace$1.15/hour 8x GPU configuration Updated: 4/7/2026 TensorDock$0.17/hour Updated: 4/7/2026 ★Best Price Price Difference:↑+$0.98(+576.5%) | ||||
Features Comparison
Paperspace
- Gradient Notebooks
Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.
- Gradient Deployments
Serve machine learning models as scalable API endpoints.
- Core Machines
High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.
- Team Collaboration
Features for teams to collaborate on projects, including shared drives and SSO.
- Persistent Storage
Offers persistent storage that can be shared across different machines and notebooks.
- API and CLI
Programmatic access to the Paperspace platform to automate workflows.
TensorDock
- KVM Virtualization
Root access and dedicated GPUs with full OS control, manage your own drivers and Windows 10 support
- Global Distribution
100+ locations across 20+ countries with enterprise-grade servers in tier 3/4 data centers
- Pay-per-second Billing
Continuous billing with automatic server deletion when balance reaches zero
- API Integration
Well-documented REST API for programmatic server management with metadata and availability
Pros & Cons
Paperspace
Advantages
- User-friendly interface and easy to get started
- Wide range of NVIDIA GPU options
- Free GPU and CPU plans for notebooks
- Pay-per-second billing model
Considerations
- Limited data center regions (US and Europe)
- Some user reports of inconsistent customer support
- Availability of high-end multi-GPU instances can be limited
TensorDock
Advantages
- Up to 80% cheaper than hyperscalers with competitive marketplace pricing
- Wide GPU selection with 45 different models from RTX 4090 to H100 SXM5
- No quotas, hidden fees, or long-term commitments required
- 99.99% uptime standard with vetted hosts and quality hardware
Considerations
- Marketplace model means pricing varies by host and location
- Newer platform compared to established cloud providers
- Dependent on independent host quality and availability
Compute Services
Paperspace
Core GPU Instances
Virtual machines with a wide range of NVIDIA GPUs for various workloads.
Gradient Notebooks
Managed Jupyter notebooks for interactive development and experimentation.
- Free CPU and GPU tiers
- 1-click launch with pre-configured templates
Gradient Deployments
A serverless product for deploying trained models as REST APIs.
- Scalable and managed infrastructure
- Integration with Gradient Notebooks and Workflows
TensorDock
CPU Cloud
High-performance CPU instances with latest Intel Xeon and AMD EPYC processors
Pricing Options
Paperspace
TensorDock
Pay-as-you-go
Per-second billing with automatic server deletion when balance reaches zero
Reserved Pricing
Long-term rental options available for enterprise customers
Marketplace Pricing
Independent hosts compete and set their own pricing for best market rates
Getting Started
Paperspace
- 1
Create an Account
Sign up for a Paperspace account. You can start with a free plan.
- 2
Choose a Product
Select the product that best fits your needs, such as Gradient Notebooks for interactive development or Core Machines for more control.
- 3
Select a Template and Machine
Choose a pre-configured template for your desired framework and select a GPU or CPU instance.
- 4
Start Working
Launch your machine or notebook and begin building, training, or deploying your AI applications.
TensorDock
- 1
Sign Up
Register in just two clicks with email or GitHub account
- 2
Deposit Funds
Start with as little as $5 deposit for pay-as-you-go billing
- 3
Deploy a GPU
Run your workload on enterprise-grade hardware in 30 seconds
Support & Global Availability
Paperspace
Global Regions
Data centers are located in the US (Secaucus, NJ and Santa Clara, CA) and Europe (Amsterdam, NL).
Support
Support is available through a community forum, extensive documentation, and a support ticket system.
TensorDock
Global Regions
100+ locations across 20+ countries with enterprise-grade servers in tier 3/4 data centers
Support
24/7 staff availability with 24-hour response time standard, Discord community, comprehensive documentation
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