FluidStack
Provides dedicated, high-performance GPU clusters and infrastructure for large-scale AI training and inference workloads.
| What is it | Provides dedicated, high-performance GPU clusters and infrastructure for large-scale AI training and inference workloads. |
|---|---|
| Pricing | Paid |
| Free tier | No |
| Platform | Web Application |
| API | Yes |
| Best for | Large-scale AI model training, AI inference workloads |
| Domain registered | 2018 |
Data updated Aug. 1, 2026
What does FluidStack do?
FluidStack is a specialized cloud platform that provides high-performance computing infrastructure specifically designed for artificial intelligence workloads. It offers dedicated GPU clusters that are fully isolated and managed, giving AI teams the raw computational power needed for training large models and running inference at scale. The service focuses on eliminating the 'noisy neighbor' problems common in shared cloud environments by ensuring each customer gets exclusive access to their hardware.
The platform's core technology includes Atlas OS, a bare-metal operating system built for rapid provisioning and smooth orchestration of AI infrastructure, and Lighthouse, a monitoring system that proactively identifies and resolves performance issues. What sets FluidStack apart is its commitment to single-tenant architecture by default—your infrastructure is isolated at the hardware, network, and storage levels. The service comes with human engineering support and promises 15-minute response SLAs, along with enterprise-grade security certifications including SOC 2 Type 2 and ISO27001.
FluidStack is particularly valuable for AI labs, large enterprises, and research organizations running computationally intensive AI workloads that require reliable, high-performance infrastructure. Real-world use cases include training foundation models, running large-scale inference operations, and deploying AI applications where performance consistency and data security are critical. The platform has been used to deploy thousands of GPUs within tight timeframes for major AI companies, demonstrating its capability to support the most demanding AI projects.
Key features
What makes it stand outWho is FluidStack for?
Who benefits most from this toolPricing
Reserved Clusters
- GPU Count: 256 - 10k+
- Term: ≥ 30 Days
- Monthly or annual terms
- Discounted rates
- Guaranteed resources
On Demand
- GPU Count: 8 - 4k+
- Term: Per Hour
- Hourly billing
- Scale in minutes
- Same price class as reserved
Private Cloud
- GPU Count: Custom
- Term: Custom
- Dedicated clusters
- Flexible terms
- Region-specific deployments
Trust & presence
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