FluidStack
AI Cloud Platform for training and inference with NVIDIA GPUs.
Verdict
A quick read before you dig into the full page.
- Best if
- You are aI researchers and need: Training large AI models
- Pick this when
- AI Cloud Platform for training and inference with NVIDIA GPUs
Overview
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.
Best for
Short scenarios where FluidStack tends to shine.
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Training large AI models
Best for AI researchers
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Running inference at scale
Best for Machine learning engineers
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Deploying and managing GPU clusters
Best for Data scientists
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Accelerating machine learning product development
Best for AI startups
Example outputs 1
Sample generations and before/after results for FluidStack.
Access & connections
Where you can use FluidStack, and what it plugs into.
Platforms
Integrations
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- 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
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