AI cloud provider Fluidstack is working with Vast Data to power large-scale AI workloads.
Fluidstack will use the Vast Data Platform to serve its global customer base.
"Our mission at Fluidstack is to take the complexity out of deploying and scaling AI infrastructure for our customers,” said César Maklary, president and co-founder of Fluidstack.
"Vast's platform gives us the advanced enterprise capabilities we need to deliver reliable, scalable, secure, and future-proof AI infrastructure for our customers as they build cutting-edge models to further AI adoption.”
The Vast Data Platform offers multi-tenant security and reliability while supporting AI workloads, while Vast's DataEngine can provide integrated search capabilities and data processing designed for large-scale model training and inference.
Additionally, the data platforms' Disaggregated Shared-Everything architecture is hoped to help deployment reach exabyte scale while still being cost-efficient.
"Fluidstack's innovative approach to AI infrastructure delivery requires a data platform that can operate globally, securely, and with the performance to match cutting-edge AI workloads," said Renen Hallak, Founder and CEO of Vast Data.
"Together with Fluidstack, we're helping customers turn visionary projects into reality. The combination of Fluidstack's dynamic managed services with Vast's global data fabric and advanced enterprise features is unlocking new possibilities for AI model training and development at scale."
Vast Data is an AI data platform. In March 2024, the company launched an AI architecture based on Nvidia BlueField-3 data processing unit (DPU) technology.
The company has signed partnerships with the likes of CoreWeave, Crusoe, and GMI Cloud in the last year, and in March 2025, the company partnered with Akamai Technologies in an agreement that would see the companies combine Akamai's distributed platform with Vast Data's technology for data-intensive computing to speed up inference workloads.
Fluidstack was founded in 2017 at Oxford University. The company currently has more than 100,000 GPUs under management on its platform, with customers including Mistral AI, Character.AI, Poolside, and Black Forest Labs.
This year so far, Fluidstack has announced a financing deal with Macquarie Group to supply European AI research labs with GPUs, and has partnered with Nvidia, Borealis, and Dell for exascale GPU clusters across Iceland and the Nordics.
In February 2025, Fluidstack signed an MoU with the French government that would see it build a 1GW AI supercomputer in France.
