Hot Aisle vs TensorWave

Compare GPU pricing, features, and specifications between Hot Aisle and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.

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Hot Aisle

Provider 1

1
GPUs Available
TensorWave logo

TensorWave

Provider 2

2
GPUs Available
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Comparison Overview

2
Total GPU Models
H
1
Hot Aisle GPUs
TensorWave logo
2
TensorWave GPUs
1
Direct Comparisons

Average Price Difference: $1.50/hour between comparable GPUs

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Hot Aisle
TensorWave

GPU Pricing Comparison

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Features Comparison

Hot Aisle

    TensorWave

    • AMD Instinct Accelerators

      Powered by AMD Instinctโ„ข Series GPUs for high-performance AI workloads.

    • High VRAM GPUs

      Offers instances with 192GB of VRAM per GPU, ideal for large models.

    • Bare Metal & Kubernetes

      Provides both bare metal servers for maximum control and managed Kubernetes for orchestration.

    • Direct Liquid Cooling

      Utilizes direct liquid cooling to reduce data center energy costs and improve efficiency.

    • High-Speed Network Storage

      Features high-speed network storage to support demanding AI pipelines.

    • ROCm Software Ecosystem

      Leverages the AMD ROCm open software ecosystem to avoid vendor lock-in.

    Pros & Cons

    Hot Aisle

    Advantages
      Considerations

        TensorWave

        Advantages
        • Specialized in high-performance AMD GPUs
        • Offers GPUs with large VRAM (192GB)
        • Claims better price-to-performance than competitors
        • Provides 'white-glove' onboarding and support
        Considerations
        • A newer and less established company (founded in 2023)
        • Exclusively focused on AMD, which may be a limitation for some users
        • Limited publicly available information on pricing

        Compute Services

        Hot Aisle

        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

        Hot Aisle

        TensorWave

        Getting Started

        Hot Aisle

          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

          Hot Aisle

          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.