Why we exist
Open source does not mean open access.
Our initiative is driven by the belief that AI should be an openly shared asset. However, simply open sourcing AI models is insufficient. The predominance of large data centers controlling GPU resources presents a significant obstacle, creating a barrier to AI accessibility. In order to let all people have truly unfettered access to AI, we not only need open-source models but also open access to computing resources.
Everyone wins when everyone contributes.
We believe the future of AI is collaborative. At Hyperbolic, we’re building an open-access platform for AI development by aggregating idle computing resources and making it seamlessly simple to use them. Our approach allows individuals and organizations to use collective computing capacity for AI model training and host models on our platform — thus enabling open access to AI.
Who we are
Team
We're researchers, builders and innovators building an inclusive AI ecosystem
Dr. Jasper (Yue) Zhang
Co-Founder & CEO
Completed Math Ph.D. at UC Berkeley in 2 years. Gold Medalist at Alibaba Global Math Competition and Chinese Mathematical Olympiad. Previously at Ava Labs and Citadel Securities.
Dr. Yuchen Jin
Co-Founder & CTO
Led Relax, an innovative open-source AI compiler within Apache TVM. Holds a Ph.D. in CS Systems and Networking, from the University of Washington, with publications at top conferences including ICLR, SIGCOMM, NSDI, and SOSP.
Matthew Epps
Lead Frontend Engineer
Led the MetaMask Portfolio team as Senior Frontend Engineer. Holds a B.A. in Economics from the University of Chicago.
Joelly Gloria
Marketing Lead
Marketing leader with experience launching consumer products at some of the world's biggest brands, both in Web2 and Web3, including Louis Vuitton, IBM, and Ava Labs. B.S. degree in Marketing and Data Analytics from NYU.
Jeremy Hazan
Business Operations Lead
Dual master’s in Information Science from Cornell. Co-founded the acclaimed Cornell Tech Blockchain Club. First APM at Ava Labs, spanning NY & Tokyo offices. Ex-PM intern in AI at CNRS.
Lesheng Jin
Founding AI Engineer
Master's degree in Computer Science from UCSD. Bachelor of Computer Science from SJTU.
Viktor Lantos
Senior Full-Stack Engineer
UCLA dropout with a Fintech background, now building the future of the decentralized AI with Hyperbolic.
Christian Ondaatje
Founding Platform Engineer
Decentralized Kubernetes specialist, with a background in international-scale crypto mining & GPU automation as the third engineer at Crusoe. B.A. in Computer Science from Harvard College.
Yoofi Quansah
Senior Platform Engineer
Highly experienced generalist engineer, with a keen interest in platform related technologies, and improving the lives of developers. M.S. in Computer Science from USC.
Peggy Wang
Founding Product Designer
Master’s degree in Digital Media Design from NYU. Bachelor of Laws from Peking University.
Shouqiao Wang
Research Intern
Specializes in incentive mechanism design and tokenomics for decentralized systems and blockchain. Currently a Ph.D. candidate in Operations Research at Columbia Business School. Holds a B.S. in Mathematics from Peking University.
Prof. Ciamac C. Moallemi
Advisor to Hyperbolic
William von Mueffling Professor of Business at Columbia University. Research Advisor at Paradigm. Director of the Briger Family Digital Finance Lab.
Reynold Xin
Advisor to Hyperbolic
Co-Founder and Chief Architect of Databricks. Main contributor of Apache Spark. Author of the highest cited papers in SIGMOD.
Prof. Raluca Ada Popa
Advisor to Hyperbolic
Professor at UC Berkeley in security, applied cryptography, and secure AI. Co-Director of RISELab and SkyLab. Co-Founder of Opaque Systems.
Prof. Yi Ma
Advisor to Hyperbolic
Head of CS & Chair Professor in AI at Hong Kong University. CS Professor at UC Berkeley. Fellow of IEEE, ACM, and SIAM.
How we started
Founding Story
The Hyperbolic story begins with the stories of others.
The Hyperbolic story begins with the stories of others. From vantage points within startups and academia, our founders saw talented people with promising ideas get stuck, again and again, when they couldn’t access compute and inference tools.
They saw a Stanford postdoc blocked after he was unable to afford the thousands of GPUs needed to experiment with pushing the limit of LLMs. They saw a Berkeley professor struggle to find a sufficient machine for her research on the confidential computation of AI (aiming to ensure user privacy isn’t compromised by companies). They saw a startup, trying to train an AI model for their own use case, give up after realizing how much renting machines would reduce their runway. They saw a bright developer, who had built an app similar to Perplexity using OpenAI API, drastically limit users due to the API rate limit and excessive costs.
Different people, different projects, same story. And it turned out these stories were lived by AI innovators all over the world. The bottleneck to progress was not a lack of talent or enthusiasm, but compute. So they looked for it.
It wasn’t hard to find, it just wasn’t accessible. There are over two billion1 personal computers in the world and most of them sit idle for more than 19 hours a day.2 Additionally, a common situation has emerged where companies reserve machines from data centers for years, only to abandon strategies that leave their purchased resources unused. This prevalence has only been exacerbated by advancements in efficiency, like Ethereum’s shift to proof of stake, where the computing power equivalent of 10 million RTX 3090 GPUs was left without purpose nearly overnight.
Hyperbolic was founded to make sure generational breakthroughs aren’t left in the dust simply because great brain power lacked affordable computing power. We believe the future of AI is collaborative and open, and we’re working to make it possible every day.
1"Computers Sold". Worldometer.
2Desroches, Louis-Benoit, et al. "Computer usage and national energy consumption:Results from a field-metering study". eScholarship.