FluidStack
What it does
Fluidstack is a leading AI Cloud Platform designed for training and inference, providing instant access to thousands of NVIDIA GPUs, including H100s and A100s. It enables enterprises to train foundation models and run inference at scale. Fluidstack offers fully managed infrastructure with Slurm and Kubernetes, ensuring high availability and support with 15-minute response times and 99% uptime. They provide large-scale GPU clusters designed for training and inference, deployed on their managed cloud infrastructure, and on-demand GPU instances that can be launched in under 5 minutes.
How to use: To use Fluidstack, you can either reserve a large-scale GPU cluster for AI training and inference or launch on-demand GPU instances. The platform offers fully managed Kubernetes or Slurm environments, and you can contact their engineers for support.
Core features
- ✦Access to thousands of NVIDIA GPUs (H100, A100, H200, GB200)
- ✦Fully managed infrastructure with Slurm and Kubernetes
- ✦Large scale GPU clusters for training and inference
- ✦On-demand GPU instances
- ✦24/7 support with 15-minute response times
- ✦99% uptime guarantee
Use cases
- →Training large AI models
- →Running inference at scale
- →Deploying and managing GPU clusters
- →Accelerating machine learning product development
Reviews
Big-picture takes: what it's for and whether it delivers. High-engagement videos from YouTube — not sponsored.
Top 5 NeoClouds Explained: CoreWeave, Nebius, Crusoe, Lambda, Fluidstack
Cloud Computing Insider · 25K views