FluidStack
PaidCivilization-scale infrastructure for AI
About FluidStack
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.
Key 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
Key Features
Pros & Cons
- Exceptional speed of deployment (6 months vs 18-24 months industry standard)
- Major partnerships with Anthropic, Meta, NVIDIA, AMI, Cognition
- Significant funding ($830M Series A) enabling rapid growth and large-scale projects
- Full-stack control from power acquisition to data center operation
- Focus on aligned AI (mission to expand human freedom)
- Not a self-service cloud platform; primarily serves large-scale enterprise and government projects
- Limited accessibility for individual developers or small teams
- Information about specific GPU pricing and on-demand instances is not publicly detailed on the homepage
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