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.

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IBM Cloud

Provider 1

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GPUs Available
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Paperspace

Provider 2

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GPUs Available
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Comparison Overview

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Total GPU Models
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IBM Cloud GPUs
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Paperspace GPUs
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Direct Comparisons
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IBM Cloud
Paperspace

GPU Pricing Comparison

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Features Comparison

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Pros & Cons

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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.