Datacrunch vs Fluidstack

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

Datacrunch logo

Datacrunch

Provider 1

9
GPUs Available
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Fluidstack logo

Fluidstack

Provider 2

4
GPUs Available
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Comparison Overview

9
Total GPU Models
Datacrunch logo
9
Datacrunch GPUs
Fluidstack logo
4
Fluidstack GPUs
4
Direct Comparisons

Average Price Difference: $0.61/hour between comparable GPUs

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Datacrunch
Fluidstack

GPU Pricing Comparison

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Features Comparison

Datacrunch

    Fluidstack

      Pros & Cons

      Datacrunch

      Advantages
      • Wide range of GPU models, including latest NVIDIA H200
      • Cost-effective compared to major cloud providers
      • Streamlined and user-friendly interface
      • Excellent documentation and API
      Considerations
      • Limited global presence (primarily Europe-focused)
      • Smaller company compared to major cloud providers
      • Specialized focus may not suit all computing needs

      Fluidstack

      Advantages
      • Highly cost-effective (30-80% lower costs compared to major cloud providers)
      • Large-scale GPU availability (10,000+ NVIDIA H100 GPUs deployed)
      • Rapid deployment and scaling capabilities
      • Fully managed infrastructure with 24/7 support
      Considerations
      • Relatively newer and smaller compared to major cloud providers
      • Primary focus on AI and ML workloads may not suit all use cases
      • Limited global presence compared to hyperscalers

      Compute Services

      Datacrunch

      Fluidstack

      Pricing Options

      Datacrunch

      Fluidstack

      Getting Started

      Datacrunch

      Get Started

        Fluidstack

        Get Started

          Support & Global Availability

          Datacrunch

          Fluidstack