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kosteneffizientes HPC

  • FluidStack offers on-demand access to enormous GPU resources for AI applications.
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    What is FluidStack?
    FluidStack enables AI engineers and businesses to access thousands of Nvidia GPUs instantly or reserve large-scale clusters. This cloud platform specializes in training large language models (LLMs) and foundational models, providing cost-effective solutions for high-performance computing. By connecting spare GPU resources, FluidStack manages to lower costs for users, facilitating rapid deployment and scaling of machine learning applications. It’s designed for seamless integration into workflows, ensuring that users can focus on enhancing their models without worrying about infrastructure.
    FluidStack Core Features
    • Access to Nvidia A100 and H100 GPUs
    • On-demand and reserved GPU clusters
    • Cost-effective pricing
    • High performance with InfiniBand interconnect
    • 24/7 customer support
    FluidStack Pro & Cons

    The Cons

    No indication of open-source availability
    Lack of publicly accessible GitHub or developer community links
    Pricing details require contact, not fully transparent on site
    No direct end-user applications or AI agents offered

    The Pros

    Access to large-scale GPU clusters (up to 12,000+ GPUs)
    High performance with >95% theoretical performance benchmark
    Dedicated, fully isolated infrastructure with strong security compliance (HIPAA, GDPR, ISO27001, SOC 2 TYPE I)
    Real-time monitoring with auto-remediation and 24/7 engineering support
    Fast provisioning and orchestration via Atlas OS
    Support for enterprise, research, sovereign, and financial AI workloads
    FluidStack Pricing
    Has free planNo
    Free trial details
    Pricing modelPaid
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyHourly

    Details of Pricing Plan

    H100 SXM

    2.1 USD
    • GPU instance hourly billing

    A100 80GB SXM

    1.3 USD
    • GPU instance hourly billing

    H200 SXM

    2.3 USD
    • GPU instance hourly billing
    For the latest prices, please visit: https://fluidstack.io/pricing
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