
Fluidstack
GPU cloud and AI data-center infrastructure for frontier AI labs.
About Fluidstack
Fluidstack is an AI infrastructure company that provides on-demand GPU clusters and, increasingly, builds and operates entire dedicated data centers for frontier AI labs and large enterprises. Founded at Oxford University in 2017, the company runs a dual business: a GPU marketplace offering dedicated, single-tenant clusters with NVIDIA H100, H200, B200, and GB200 hardware, and a larger private-cloud arm that designs, constructs, and operates custom data-center facilities, including power acquisition, for the largest AI compute buildouts. The company's stated goal is delivering gigawatt-scale compute in around 6 months, versus the roughly 18-24 months typical for the industry, achieved through combined hardware and power-infrastructure teams working alongside software engineering. Its client base includes major AI labs and model developers such as Meta, Mistral, Character.AI, Poolside, and Black Forest Labs, and it is reported to be central to Anthropic's large compute buildout. Fluidstack manages more than 100,000 GPUs across its network and raised an $830 million Series A round in January 2026, valuing the company at $7.5 billion. Pricing is not published, which is typical for infrastructure sold through direct enterprise contracts rather than self-serve signup; the company's own site also does not disclose whether a public API exists for provisioning GPU resources directly.
At a glance
- Company
- Fluidstack (est. 2017)
- Last verified
- August 2026
Who It's For
- •Research labs
- •Enterprise AI teams
- •Sovereign AI initiatives
- •Financial services
- •Product teams and startups
How It Works
- 1Provides dedicated GPU clusters that can be deployed quickly.
- 2Utilizes Atlas OS for rapid provisioning and orchestration.
- 3Offers monitoring and optimization through Lighthouse.
- 4Supports scaling to thousands of GPUs on a single fabric.
How to Use Fluidstack
- 1Contact Fluidstack to discuss deployment needs.
- 2Choose the desired GPU configurations and architecture.
- 3Deploy GPU clusters in days using the platform's tools.
- 4Manage and monitor workloads via provided APIs and tools.
Key Features
- •Dedicated single-tenant GPU clusters (H100, H200, B200, GB200)
- •Custom AI data-center design and construction
- •Power acquisition and management
- •Rapid gigawatt-scale compute deployment
Use Cases
- •Train and run inference for frontier AI models
- •Build dedicated data centers for AI labs
- •Provision large-scale GPU clusters for enterprise AI teams
Pros & Cons
Advantages
- •Fast deployment with Atlas OS and dedicated GPU clusters.
- •Highly scalable infrastructure supporting thousands of GPUs.
- •Secure and compliant environment suitable for enterprise use.
- •Full management and monitoring tools included.
Disadvantages
- •Limited publicly available detailed technical documentation.
- •Requires direct engagement for deployment (not a self-service SaaS).
Alternatives
- CoreWeave
- Lambda
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Frequently Asked Questions
What is Fluidstack?
Fluidstack is an AI infrastructure company that provides on-demand GPU clusters and, increasingly, builds and operates entire dedicated data centers for frontier AI labs and large enterprises. Founded at Oxford University in 2017, the company runs a dual business: a GPU marketplace offering dedicated, single-tenant clusters with NVIDIA H100, H200, B200, and GB200 hardware, and a larger private-cloud arm that designs, constructs, and operates custom data-center facilities, including power acquisition, for the largest AI compute buildouts.
How much does Fluidstack cost?
Fluidstack uses custom pricing — contact the vendor for a quote.
Is Fluidstack free?
Fluidstack is a paid tool and does not offer a free plan.
What are the best Fluidstack alternatives?
Popular Fluidstack alternatives include CoreWeave, Lambda.
What is Fluidstack used for?
Fluidstack is commonly used for Train and run inference for frontier AI models, Build dedicated data centers for AI labs, Provision large-scale GPU clusters for enterprise AI teams.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.