GPU Cloud for AI & LLM Training | FluidStack AI Solutions

Instantly access thousands of NVIDIA GPUs including H100s and A100s on the Fluidstack AI Cloud. Train Foundation Models and LLMs with FluidStack.

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GPU Cloud for AI & LLM Training | FluidStack AI Solutions

Introduction

FluidStack: Leading GPU Cloud for AI & LLM Training

What is FluidStack?

FluidStack is a leading GPU cloud platform that provides instant access to thousands of Nvidia GPUs on-demand or reserved for large-scale AI training and inference.

Features of FluidStack

  • Unlock immediate scale and accelerate training and inference with FluidStack
  • Fully managed AI cloud that takes care of complex infrastructure
  • Fastest access to GPU compute with thousands of high-demand Nvidia GPUs
  • Best-in-class support and SLAs with 24/7 monitoring and proactive debugging
  • On-demand GPU instances with seamless scaling to 100s of GPUs
  • Large-scale GPU clusters designed for large-scale training and inference

How to Use FluidStack

  • Request access to on-demand GPU instances or reserve a large-scale GPU cluster
  • Get instant access to thousands of Nvidia GPUs on-demand or reserve a cluster for 30 days or longer
  • Leverage FluidStack's fully managed AI cloud and best-in-class support for seamless AI training and inference

Pricing

  • Volume discounts available for GPU clusters starting at 8+ GPUs
  • Get in touch with sales to learn more about pricing and reserved clusters

Helpful Tips

  • FluidStack is trusted by top AI labs and provides the perfect balance between performance and affordability
  • With FluidStack, you can save 70% on your cloud bill compared to hyperscalers
  • Get dedicated support and proactive debugging with FluidStack's best-in-class support

Frequently Asked Questions

What types of GPUs are available?

We offer a wide range of the latest Nvidia GPUs, including Nvidia A100, Nvidia H100, and Nvidia H200, and are now taking reservations for Nvidia GB200s.

How do I access the GPUs?

If you're looking for on-demand GPUs, you can get in touch with us and request access to our platform. For reserved clusters, you can contact [email protected].

What are reserved clusters?

A reserved cluster is a high-end dedicated GPU Cluster you can reserve for 30 days or longer, with 24/7, 15 min support and fully managed Kubernetes or Slurm.