Hyperbolic Raises $30M to Turn AI Compute Into a Tradeable Asset

Hyperbolic has raised a $30 million strategic round to build what it calls the 'Global Compute Grid' — a marketplace where AI compute trades like a liquid financial asset rather than a long-term lease. Walden Catalyst, the venture firm founded by Intel CEO Lip-Bu Tan and former Samsung Electronics Corporate President Young Sohn, led the round.

The syndicate spans both enterprise tech and finance: Dell Technologies Capital, General Catalyst, Vista Equity Partners, Cambium Capital, and Salience Capital all participated. Angels include executives from Citadel Securities, the New York Stock Exchange, and GPU cloud providers WhiteFiber and Vector Core Compute.

The bet rests on a simple market failure. Today's GPU cloud ecosystem is fragmented across more than 300 providers, each with its own hardware standards, networking quirks, and rigid contracts. AI companies lock themselves into expensive long-term leases for capacity that sits idle between workloads, while compute providers struggle to convert hardware investments into consistent revenue.

"The demand for AI compute will continue to grow, but adding more hardware is only part of the answer," said Lip-Bu Tan, Founding Managing Partner at Walden Catalyst and CEO of Intel. "The value of that investment depends on how effectively the capacity is put to work and made available to the teams that need it. We believe Jasper and his team are addressing a fundamental challenge in the AI stack."

Who built Hyperbolic — and why a quant is running a cloud company?

Founder and CEO Jasper Zhang brings an unusual résumé for cloud infrastructure. A multiple math gold medalist, he finished his UC Berkeley math Ph.D. in two years and hit GPU bottlenecks firsthand while researching at Berkeley AI Research (BAIR). The decisive insight came later, as a quantitative researcher focused on market making at Citadel Securities.

There, Zhang absorbed pricing models and liquidity mechanics — and concluded the AI compute market suffered a classic supply-and-demand mismatch. The fix, he decided, was a more efficient trading market for idle GPUs.

"AI Compute is deeply challenged by supply and demand mismatch, making it incredibly difficult to harness for the AI developer," said Shankar Chandran, Partner at Walden Catalyst. "Hyperbolic's innovative AI Stack has solved this massive complexity and has aggregated AI compute capacity across compute providers, providing AI developers with simple, transparent, and reliable access to AI compute."

What does the $30M actually fund?

Hyperbolic's core product today is "Forge," a unified control plane that takes bare-metal GPU clusters from different providers and standardizes them for AI workloads. One dashboard handles provisioning, virtualization, and networking across multiple providers.

The new capital pushes beyond orchestration into the Global Compute Grid. It's designed to work like an electrical grid for AI: customers draw capacity dynamically, scale consumption up or down, and sell unused capacity back into the ecosystem. Spot listings, dynamic pricing, and compute market-making strategies supply liquidity — buyers can hedge compute price risk across contract durations, while suppliers lift utilization rates and ROI.

The team reflects the dual mandate, drawing engineering and financial talent from Google Cloud, Lambda, Lightning AI, VMware, Supermicro, Point72, and Citadel.

Traction is real by private-company standards. Hyperbolic says its platform supports more than 250,000 AI builders. Clients include HeyGen, Pika, Modal, Higgsfield, Daytona, Voio, and RadixArk, plus major universities.

Will AI agents become the biggest buyers?

The boldest piece of the roadmap concerns the customer of the future. Hyperbolic is building toward "autonomous compute," where a developer supplies a model, a budget, and a deadline — and the platform provisions the right compute itself, migrating workloads across providers on the fly to cut costs.

Zhang expects the largest compute buyers won't be human developers at all, but AI agents.

"We believe AI agents will become the largest consumers of compute. They're not going to wine and dine with 20 different neocloud sales or sign contracts lasting three years or more," said Zhang. "They need a programmable way to discover compute, acquire capacity, and run workloads. We're building Hyperbolic as one unified platform that handles the infrastructure and orchestration for them."

In short: Hyperbolic is merging market-making efficiency with bare-metal infrastructure to make compute a fungible, investable asset class. If the Grid works, the way companies buy and price processing power changes with it.