Amazon AWS vs Paperspace
Compare GPU pricing, features, and specifications between Amazon AWS and Paperspace cloud providers. Find the best deals for AI training, inference, and ML workloads.
Amazon AWS
Provider 1
Paperspace
Provider 2
Comparison Overview
Average Price Difference: $1.36/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Amazon AWS Price | Paperspace Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS |  $1.42/hr★ Best4x GPU | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWSPaperspace | $0.18/hr★ Best 8x GPU |  $1.15/hr | ↓$0.97(84.0%) | |
A100 SXM 80GB VRAM • Amazon AWS$0.18/hour 8x GPU configuration Updated: 3/3/2026 ★Best Price Paperspace$1.15/hour Updated: 3/11/2026 Price Difference:↓$0.97(84.0%) | ||||
A40 48GB VRAM • Paperspace | Not Available | $0.80/hr★ Best | — | |
A40 48GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | $0.15/hr★ Best 72x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWSPaperspace | $0.49/hr★ Best 8x GPU | $2.24/hr | ↓$1.75(78.1%) | |
H100 80GB VRAM • Amazon AWS$0.49/hour 8x GPU configuration Updated: 3/3/2026 ★Best Price Paperspace$2.24/hour Updated: 3/11/2026 Price Difference:↓$1.75(78.1%) | ||||
H200 141GB VRAM • Amazon AWS | $0.62/hr★ Best 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Amazon AWS | $1.46/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | $0.76/hr★ Best | — | |
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | $1.38/hr★ Best | — | |
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | $1.89/hr★ Best | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | $2.30/hr★ Best | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | $1.42/hr★ Best 4x GPU | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWSPaperspace | $0.18/hr★ Best 8x GPU | $1.15/hr | ↓$0.97(84.0%) | |
A100 SXM 80GB VRAM • Amazon AWS$0.18/hour 8x GPU configuration Updated: 3/3/2026 ★Best Price Paperspace$1.15/hour Updated: 3/11/2026 Price Difference:↓$0.97(84.0%) | ||||
A40 48GB VRAM • Paperspace | Not Available | $0.80/hr★ Best | — | |
A40 48GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | $0.15/hr★ Best 72x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWSPaperspace | $0.49/hr★ Best 8x GPU | $2.24/hr | ↓$1.75(78.1%) | |
H100 80GB VRAM • Amazon AWS$0.49/hour 8x GPU configuration Updated: 3/3/2026 ★Best Price Paperspace$2.24/hour Updated: 3/11/2026 Price Difference:↓$1.75(78.1%) | ||||
H200 141GB VRAM • Amazon AWS | $0.62/hr★ Best 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Amazon AWS | $1.46/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | $0.76/hr★ Best | — | |
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | $1.38/hr★ Best | — | |
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | $1.89/hr★ Best | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | $2.30/hr★ Best | — | |
Tesla V100 32GB VRAM • | ||||
Features Comparison
Amazon AWS
- Global Infrastructure
Extensive network of data centers across multiple regions worldwide
- Pay-as-you-go Pricing
Flexible pricing model with no upfront commitments required
- Advanced Security
Comprehensive security tools and compliance certifications
- Auto Scaling
Automatically adjust resources based on demand
- Integrated Services
Extensive ecosystem of services that work seamlessly together
- Developer Tools
Comprehensive suite of tools for development, deployment, and management
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.
Pros & Cons
Amazon AWS
Advantages
- Broad range of compute options including GPUs
- Highly scalable and reliable infrastructure
- Pay-as-you-go pricing with cost optimization tools
- Extensive global network of data centers
Considerations
- Complex pricing structure
- Steep learning curve for new users
- Potential for unexpected costs without proper management
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
Compute Services
Amazon AWS
Amazon EC2
Virtual servers in the cloud with a wide range of instance types.
Amazon ECS
Fully managed container orchestration service.
- Support for Docker containers
- Integration with other AWS services
Amazon EKS
Managed Kubernetes service for container orchestration.
- Certified Kubernetes conformant
- Integrates with AWS networking and security 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
Pricing Options
Amazon AWS
On-Demand Instances
Pay for compute capacity by the second with no long-term commitments.
Spot Instances
Use spare EC2 capacity at up to 90% off the On-Demand price.
Reserved Instances
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Savings Plans
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
Paperspace
Getting Started
Amazon AWS
- 1
Sign up for AWS
Create an AWS account to access the cloud platform.
- 2
Choose a compute service
Select from EC2, Lambda, or container services based on your workload needs.
- 3
Launch an instance
Configure and launch your first compute instance or container.
- 4
Set up security
Configure security groups and access controls for your resources.
- 5
Monitor and optimize
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
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.
Support & Global Availability
Amazon AWS
Global Regions
30+ regions and 100+ availability zones worldwide.
Support
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
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.
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