IBM Cloud vs TensorWave

Compare GPU pricing, features, and specifications between IBM Cloud and TensorWave 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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TensorWave

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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TensorWave GPUs
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Direct Comparisons
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IBM Cloud
TensorWave

GPU Pricing Comparison

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Features Comparison

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Pros & Cons

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Compute Services

IBM Cloud

TensorWave

AMD GPU Instances

Bare metal servers and managed Kubernetes clusters with AMD Instinct GPUs.

Managed Kubernetes

Kubernetes clusters for orchestrated AI workloads.

  • Scalable from 8 to 1024 GPUs
  • Interconnected with 3.2TB/s RoCE v2 networking
Inference Platform (Manifest)

An enterprise inference platform designed for larger context windows and reduced latency.

  • Accelerated reasoning
  • Secure and private data storage

Pricing Options

IBM Cloud

TensorWave

Getting Started

IBM Cloud

Get Started

    TensorWave

    Get Started
    1. 1
      Request Access

      Sign up on the TensorWave website to get access to their platform.

    2. 2
      Choose a Service

      Select between Bare Metal servers or a managed Kubernetes cluster.

    3. 3
      Follow Quickstarts

      Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.

    4. 4
      Deploy Your Model

      Deploy your AI model for training, fine-tuning, or inference.

    Support & Global Availability

    IBM Cloud

    TensorWave

    Global Regions

    Primary data center and headquarters are located in Las Vegas, Nevada. The company is building the largest AMD-specific AI training cluster in North America.

    Support

    Offers 'white-glove' onboarding and support, extensive documentation, and a company blog.