FluidStack

AI cloud platform optimized for training and inference using NVIDIA GPUs, supporting scalable machine learning workloads.

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About FluidStack

Fluidstack is a premier AI cloud platform that enables rapid training and inference with immediate access to thousands of NVIDIA GPUs, including H100 and A100 models. Designed for enterprises and AI researchers, it facilitates large-scale model development and deployment. The platform offers fully managed infrastructure utilizing Slurm and Kubernetes, ensuring high availability, scalability, and reliable support with 15-minute response times and 99% uptime. Users can deploy extensive GPU clusters or launch on-demand GPU instances in under 5 minutes, streamlining AI workflows and reducing operational complexity.

How to Use

Reserve large-scale GPU clusters for extensive AI training and inference, or quickly launch on-demand GPU instances. The platform supports managed Kubernetes and Slurm environments, with dedicated engineering support available upon request.

Features

On-demand GPU instances for flexible scaling

99% uptime service guarantee

Managed infrastructure with Kubernetes and Slurm

Access to thousands of NVIDIA GPUs including H100, A100, H200, and GB200

Large GPU clusters optimized for training and inference

Around-the-clock support with rapid 15-minute response times

Use Cases

Managing scalable GPU clusters

Performing large-scale AI inference

Training complex deep learning models

Accelerating machine learning development

Deploying AI models in production environments

Best For

AI researchersLarge-scale AI enterprisesData scientistsMachine learning engineersAI startups

Pros

Reduces operational complexity with fully managed infrastructure

Immediate access to a broad range of NVIDIA GPUs

Reliable high availability and quick support responses

Potential cost savings compared to hyperscale cloud providers

Supports large-scale AI workloads with scalable GPU clusters

Cons

Minimum reserved cluster term of 30 days applies

Pricing details for H200 on-demand instances require direct inquiry

On-demand GPU availability is limited to over 100 GPUs

Frequently Asked Questions

Find answers to common questions about FluidStack

Which NVIDIA GPUs are supported on Fluidstack?

Fluidstack offers a variety of NVIDIA GPUs, including H100, A100, H200, and GB200 models.

How is infrastructure managed on Fluidstack?

The platform provides fully managed infrastructure using Kubernetes and Slurm for workload orchestration.

What is the guaranteed uptime for the platform?

Fluidstack guarantees 99% uptime, ensuring reliable access for your AI workloads.

What kind of support does Fluidstack offer?

Support is available 24/7 with guaranteed response times within 15 minutes.

How fast can I deploy GPU instances?

GPU instances can be launched in under 5 minutes for rapid scaling and experimentation.