IBM Cloud vs Paperspace

Compare GPU pricing, features, and specifications between IBM Cloud and Paperspace cloud providers. Find the best deals for AI training, inference, and ML workloads.

IBM Cloud logo

IBM Cloud

Provider 1

0
GPUs Available
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Paperspace logo

Paperspace

Provider 2

7
GPUs Available
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Comparison Overview

7
Total GPU Models
IBM Cloud logo
0
IBM Cloud GPUs
Paperspace logo
7
Paperspace GPUs
0
Direct Comparisons
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IBM Cloud
Paperspace

GPU Pricing Comparison

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Features Comparison

IBM Cloud

    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

    IBM Cloud

    Advantages
    • Strong focus on AI and data workloads
    • Enterprise-grade support
    • Integration with IBM's AI tools
    Considerations
    • Limited global presence compared to competitors
    • Higher cost for some services
    • Less community support

    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

    IBM Cloud

    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

    IBM Cloud

    Paperspace

    Getting Started

    IBM Cloud

    Get Started

      Paperspace

      Get Started
      1. 1
        Create an Account

        Sign up for a Paperspace account. You can start with a free plan.

      2. 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. 3
        Select a Template and Machine

        Choose a pre-configured template for your desired framework and select a GPU or CPU instance.

      4. 4
        Start Working

        Launch your machine or notebook and begin building, training, or deploying your AI applications.

      Support & Global Availability

      IBM Cloud

      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.