Google Cloud vs Paperspace
Compare GPU pricing, features, and specifications between Google Cloud and Paperspace cloud providers. Find the best deals for AI training, inference, and ML workloads.
Google Cloud
Provider 1
Paperspace
Provider 2
Comparison Overview
Average Price Difference: $0.18/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Google Cloud Price | Paperspace Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Paperspace | Not Available |  $1.15/hr★ Best | — | |
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Paperspace | Not Available | $0.80/hr★ Best | — | |
A40 48GB VRAM • | ||||
H100 80GB VRAM • Paperspace | Not Available | $2.24/hr★ Best | — | |
H100 80GB VRAM • | ||||
L4 24GB VRAM • Google Cloud |  $0.56/hr★ Best | Not Available | — | |
L4 24GB 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 T4 16GB VRAM • Google Cloud | $0.35/hr★ Best | Not Available | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google CloudPaperspace | $2.48/hr | $2.30/hr★ Best | ↑+$0.18(+7.8%) | |
Tesla V100 32GB VRAM • Google Cloud$2.48/hour Updated: 3/4/2026 Paperspace$2.30/hour Updated: 3/11/2026 ★Best Price Price Difference:↑+$0.18(+7.8%) | ||||
A100 SXM 80GB VRAM • Paperspace | Not Available | $1.15/hr★ Best | — | |
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Paperspace | Not Available | $0.80/hr★ Best | — | |
A40 48GB VRAM • | ||||
H100 80GB VRAM • Paperspace | Not Available | $2.24/hr★ Best | — | |
H100 80GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | $0.56/hr★ Best | Not Available | — | |
L4 24GB 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 T4 16GB VRAM • Google Cloud | $0.35/hr★ Best | Not Available | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google CloudPaperspace | $2.48/hr | $2.30/hr★ Best | ↑+$0.18(+7.8%) | |
Tesla V100 32GB VRAM • Google Cloud$2.48/hour Updated: 3/4/2026 Paperspace$2.30/hour Updated: 3/11/2026 ★Best Price Price Difference:↑+$0.18(+7.8%) | ||||
Features Comparison
Google Cloud
- Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
- Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
- Cloud Functions
Event-driven serverless compute platform.
- Cloud Run
Fully managed serverless platform for containerized applications.
- Vertex AI
Unified ML platform for building, deploying, and managing ML models.
- Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
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
Google Cloud
Advantages
- Flexible pricing options, including sustained use discounts
- Strong AI and machine learning tools (Vertex AI)
- Good integration with other Google services
- Cutting-edge Kubernetes implementation (GKE)
Considerations
- Limited availability in some regions compared to AWS
- Complexity in managing resources
- Support can be costly
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
Google Cloud
Compute Engine
Offers customizable virtual machines running in Google's data centers.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for running containerized applications.
- Automated Kubernetes operations
- Integration with Google Cloud services
Cloud Functions
Serverless compute platform for running code in response to events.
- Automatic scaling and high availability
- Pay only for the compute time consumed
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
Google Cloud
On-Demand
Pay for compute capacity per hour or per second, with no long-term commitments.
Sustained Use Discounts
Automatic discounts for running instances for a significant portion of the month.
Committed Use Discounts
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Preemptible VMs
Save up to 80% for fault-tolerant workloads that can be interrupted.
Paperspace
Getting Started
Google Cloud
- 1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
- 2
Enable billing
Set up a billing account to pay for resource usage.
- 3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
- 4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
- 5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.
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
Google Cloud
Global Regions
40+ regions and 120+ zones worldwide.
Support
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community 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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