How it all Started
In May 2020, fellow students at Oxford University noticed that their friends doing PhDs in AI struggled to rent GPU computing power with their limited research grants. Indeed, prohibitive server costs on AWS and GCP and the absence of secure and cheap GPU instances seriously hindered their Machine Learning training progress.
Meanwhile, other students, especially gamers, owned expensive NVIDIA GeForce workstations which sat idle in their rooms over 75% of the time. This was the eureka moment: create a GPU marketplace where researchers could rent out GPUs for Deep Learning and leverage these under-utilized machines.
This shared economy maximizing GPU utilization worked - but they quickly realized that high cloud costs harmed entire industries too. To cater for companies and enterprises, they needed reliable and secure servers at scale. Following a 2:00am conversation on Reddit with a data center owner, FluidStack finally got access to their first HPC servers in Boston, US.
This was a game changer. Over the next few months, FluidStack rapidly expanded their data center network which now spans the entire globe. By focusing on enterprise-grade GPU providers, customers can now access a high-performance cloud GPU for AI, but at 3-5x lower server costs than hyperscalers.
Meanwhile, other students, especially gamers, owned expensive NVIDIA GeForce workstations which sat idle in their rooms over 75% of the time. This was the eureka moment: create a GPU marketplace where researchers could rent out GPUs for Deep Learning and leverage these under-utilized machines.
This shared economy maximizing GPU utilization worked - but they quickly realized that high cloud costs harmed entire industries too. To cater for companies and enterprises, they needed reliable and secure servers at scale. Following a 2:00am conversation on Reddit with a data center owner, FluidStack finally got access to their first HPC servers in Boston, US.
This was a game changer. Over the next few months, FluidStack rapidly expanded their data center network which now spans the entire globe. By focusing on enterprise-grade GPU providers, customers can now access a high-performance cloud GPU for AI, but at 3-5x lower server costs than hyperscalers.
Today, FluidStack is the world’s largest network of individual data centers, with over 47,000 GPU servers across six continents. Our Airbnb model unites individual data centers, allowing them to compete with the likes of AWS and GCP. By finally enabling open competition, we made the market efficient and built the GPU cloud offering the industry’s most competitive rates. We dare you to find better.
Meet the team

Jamie Cox
Co-Founder & Commercial Advisor
Oxford graduate and serial entrepreneur. Thiel Fellow in 2018 and part of Y Combinators W17 cohort. Currently co-founder and CEO of TreeCard.

Gary Wu
Co-Founder & Technical Advisor
Serial entrepreneur from Oxford University, co-founder of TreeCard and overviewed Deliveroo’s market launch in 2016.

Cesar Maklary
Co-Founder & CTO
Ex Formula 1 engineer and Imperial College London graduate. Experienced in HPC and data center infrastructure.

Peter Francis
Co-Founder & CRO
Previously head of fundraising at an NGO where he hitchhiked from Morocco to Iraq. Specialized in HPC & AI global sales.

Andre Viana
Head of IT
Certified Dell cloud administrator with 15 years of experience in data center operations & HPC networking architecture.

Indigo Evans
Head of Data-Center Operations
Physicist and Mathematics graduate from UCL. Founder of a MedTech start-up specialized in healthcare data processing.

Ahmad Sadiq
Head of Engineering
Ex-founder and CTO of both an energy monitoring company and a delivery service provider. Extensive experience of cloud infrastructure.

Richard O'Connor
VP of AI
Ex-telecom analyst and University of Bath and Illinois (UIUC) Graduate. Expert in AI & HPC for Enterprise applications.
Our Investors
FluidStack is backed by the original investors of SpaceX, Wise and Revolut. This leading group of investors includes - Founders Factory, Seedcamp, Episode 1 Ventures and the Thiel Foundation.



