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Fluidstack

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  • Introduction：

    Instant access to high-performance GPU clusters for AI training.

  • Added on：

    Aug 21 2024

  • Company：

    FluidStack

Fluidstack

Introducing FluidStack: Your Ultimate GPU Cloud for AI and LLM Training

FluidStack is a leading GPU cloud platform designed to accelerate AI and large language model (LLM) training. Offering instant access to thousands of the latest Nvidia GPUs, FluidStack provides both on-demand instances and reserved clusters tailored to your specific needs. With a fully managed infrastructure, proactive support, and seamless scalability, FluidStack allows developers and AI labs to focus on their models while we handle the complexities of GPU management. Whether you're working on small-scale projects or large-scale AI deployments, FluidStack delivers the performance and reliability needed to drive innovation forward.

Key Functions of FluidStack

  • On-Demand GPU Instances

    Example

    Launching a GPU instance in under 5 minutes.

    Scenario

    A data scientist needing immediate access to GPUs for a time-sensitive AI experiment can quickly deploy and scale up instances as required.

  • Reserved GPU Clusters

    Example

    Reserving a dedicated cluster for 30 days or longer.

    Scenario

    An AI lab planning to train a large language model over several weeks can reserve a high-end GPU cluster, ensuring consistent performance and dedicated support.

  • Fully Managed Infrastructure

    Example

    Proactive debugging and 24/7 support.

    Scenario

    A development team working on complex AI projects can rely on FluidStack's managed services to handle infrastructure issues, allowing them to focus entirely on model development.

Who Benefits from FluidStack?

  • AI Researchers

    AI researchers looking to conduct experiments at scale will benefit from FluidStack's high-performance GPU clusters, which offer the computational power necessary for complex model training.

  • Data Scientists

    Data scientists requiring on-demand access to GPUs for exploratory data analysis and model training will find FluidStack's flexible and scalable instances ideal for their needs.

  • Tech Companies

    Tech companies developing AI-driven products can leverage FluidStack to reduce infrastructure costs while speeding up time-to-market through efficient GPU management and support.

Visit Over Time

  • Monthly Visits
    22,531
  • Avg.Visit Duration
    00:01:26
  • Page per Visit
    2.65
  • Bounce Rate
    45.24%
Jun 2024 - Aug 2024All Traffic

Geography

  • United States
    57.26%
  • Vietnam
    7.58%
  • India
    7.54%
  • United Kingdom
    7.28%
  • Spain
    5.21%
Jun 2024 - Aug 2024Desktop Only

Traffic Sources

    Jun 2024 - Aug 2024WorldWide Desktop Only

    How to Get Started with FluidStack

    • 1

      Sign Up

      Create a free account on the FluidStack platform through the signup page to access available GPUs and services.

    • 2

      Choose Your GPU

      Select from a range of Nvidia GPUs available on-demand or reserve a dedicated cluster tailored to your specific requirements.

    • 3

      Deploy and Scale

      Launch your GPU instances or clusters, and seamlessly scale up or down based on your project needs, with FluidStack managing the infrastructure for you.

    Common Questions About FluidStack

    Fluidstack Pricing

    For the latest pricing, please visit this link：https://www.fluidstack.io/pricing

    • On-Demand GPU Instances

      $0.40 to $2.99/hour

      Access to a variety of Nvidia GPUs, including A100 and H100 models

      No contracts or commitments required

      Scale up or down in real-time as your needs change

    • Reserved GPU Clusters

      Custom pricing based on configuration

      Dedicated GPU clusters for large-scale AI training and inference

      Reserved for 30 days or longer

      24/7 support with a 15-minute response time

      Fully managed with Kubernetes or Slurm