Fluidstack
AI cloud platform building and operating GPU-optimized data centers for training and inference.
About
Fluidstack is a neocloud provider that builds and operates data centers purpose-built for AI workloads. Unusually, it owns the buildings, power, and software stack but not the chips themselves — customers bring or lease the silicon. The company is Anthropic's anchor infrastructure partner and has signed a reported $50 billion agreement with Anthropic for custom data centers in Texas and New York.
Fluidstack closed a $1.5 billion financing led by Jane Street at an $18 billion valuation in 2026, bringing total funding past $2.6 billion, and the Pentagon's Office of Strategic Capital has considered a $5 billion loan. It is an enterprise-scale platform rather than a self-serve developer cloud, so smaller teams may find access and pricing opaque compared to alternatives like RunPod or Vast.ai.
What it can do
- Purpose-built AI data centers and GPU clusters
- Training and inference cluster management
- Custom data center builds for hyperscale customers
- Power and cooling infrastructure engineering
- Enterprise SLAs and compliance
Setup
Contact Fluidstack sales for capacity; onboarding is enterprise-led rather than self-serve.
Prerequisites
Enterprise-scale GPU compute requirements and contracted capacity.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 79; Trending score 90/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.