Hyperbolic, an AI infrastructure platform, today announced an oversubscribed $30M Series A1 funding round led by Walden Catalyst, the venture capital firm founded by Intel CEO Lip-Bu Tan and former Samsung Electronics Corporate President and CSO Young Sohn. The round also included Dell Technologies Capital, General Catalyst, Vista Equity Partners, Cambium Capital, Salience Capital and other strategic investors. Angel investors included founders and executives from Citadel Securities, NYSE, Vista Equity Partners, and GPU cloud providers including WhiteFiber and Vector Core Compute. Together, these investors bring experience across semiconductors, financial markets, and cloud infrastructure.

The funding will advance Forge, Hyperbolic's unified control plane, expand its multi-cloud orchestration solutions and value-added services, and develop the first Global Compute Grid.

“The demand for AI compute will continue to grow, but adding more hardware is only part of the answer. 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, and we're excited to support them as they build that platform,” said Lip-Bu Tan, Founding Managing Partner at Walden Catalyst and CEO of Intel.

AI's Problem: Fragmented Compute Can't Efficiently Support Demand

Today's GPU cloud ecosystem spans more than 300 providers with different hardware, networking, software, and operational standards. AI companies navigate complex procurement, rigid contracts, and engineering overhead, often paying for capacity that sits idle between workloads. GPU providers face a related challenge: turning investments in hardware, power, and data centers into productive capacity and consistent revenue.

This fragmentation makes it harder for buyers to scale and control costs, while idle GPUs reduce providers' returns on invested capital. Connecting available capacity with the workloads that need it requires both better orchestration and a more efficient market.

Hyperbolic's approach draws on founder and CEO Jasper Zhang's expertise in mathematics and quantitative research. A multiple gold medalist in mathematics competitions, Zhang completed his mathematics Ph.D. at UC Berkeley in just two years. During his research at Berkeley AI Research, he experienced firsthand how limited GPU access constrained AI experimentation. He later worked as a quantitative researcher focused on market making at Citadel Securities, developing expertise in financial markets, pricing, and liquidity. Those experiences shaped his conviction that expanding access to AI requires making compute easier to use and easier to trade.

The broader team brings experience from Google Cloud, Lambda, Lightning AI, VMware, Supermicro, Citadel, and Point72, combining cloud engineering with financial markets expertise.

“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. “Moreover, the myriad of options on compute, interconnects, storage, memory, as well as heterogeneity in the software stack compounds the challenge of accessing available capacity. 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.”

Hyperbolic's Solution: A Unified Platform for Global Compute

Hyperbolic brings together the world's compute capacity and the software needed to operate it. Its unified control plane, Forge, provides a common foundation for accessing heterogeneous infrastructure, managing capacity, and orchestrating workloads across clusters.

Key capabilities include:

• Infrastructure standardization: Transforms heterogeneous bare-metal GPU clusters into validated, standardized infrastructure ready for AI workloads.

• Cloud management and orchestration: Provides one dashboard for provisioning, virtualization, networking, and operations across providers.

• Provider monetization: Helps providers bring capacity to market through distribution, with planned spot listings and resale of eligible capacity.

• Managed AI services: Offers managed Kubernetes and inference, with planned support for Slurm, automated scaling, and unified data services.

• Inference: Gives AI teams access to models hosted by Hyperbolic and external providers through a unified API, without managing the underlying infrastructure.

Building on this foundation, Hyperbolic is advancing:

• Global Compute Grid: Hyperbolic is building the first Global Compute Grid, where suppliers and customers can buy, sell, and resell eligible GPU capacity through a unified, programmable platform. The vision is for compute to work like electricity: customers can draw capacity as needed, scale consumption up or down, and sell eligible unused capacity back to the Compute Grid. The company plans to launch spot instances and dynamic pricing to better match supply with demand, giving buyers greater flexibility and suppliers more opportunities to monetize idle GPUs.

• Multi-Cloud Orchestration: Hyperbolic is expanding solutions to provision compute, manage infrastructure, and orchestrate workloads, including inference, across diverse cloud and infrastructure providers. These capabilities will help customers optimize placement based on cost, performance, and availability, and dynamically shift workloads as conditions change.

• Compute Market Making: Hyperbolic plans to develop market-making strategies that provide liquidity across the Compute Grid, helping buyers and suppliers trade GPU capacity more efficiently. By connecting demand across contract durations and supporting the resale of eligible capacity, the company aims to improve flexibility and utilization. Hyperbolic is also exploring ways to help customers and suppliers hedge compute price risk, manage capacity commitments, and reduce exposure to fluctuations in supply and demand.

Together, these capabilities are designed to make compute simple to buy, easy to manage, quick to resell, and intelligently orchestrated at scale for AI companies. By providing the services customers need to run AI workloads, Hyperbolic aims to increase useful work per GPU hour and lower effective compute costs, while helping GPU providers bring capacity to market faster, increase utilization, and maximize yields on their infrastructure.

“AI teams should be able to access compute wherever it is, run their workloads, and turn unused capacity into revenue through one platform,” said Jasper Zhang, founder and CEO of Hyperbolic. “We're bringing orchestration and liquidity together so customers have more flexibility in how they use compute, while providers get more productive use and better returns from their infrastructure.”

Building the Future: Autonomous Compute and Investable AI Infrastructure

Hyperbolic's long-term vision is for customers to bring a model, a workload, or even an idea, along with their desired completion time, budget, and other requirements. The platform would automatically identify and provision the compute required, run the workload, and continuously optimize resource allocation as prices, availability, and performance change. Suitable workloads could move across providers with minimal disruption.

This infrastructure would serve both people and AI agents. Through a programmable interface, agents could discover available compute around the world, acquire capacity, and optimize spending for themselves and the companies they serve, within defined budgets and policies.

Beyond autonomous compute, Hyperbolic aims to lay the foundation for more investable AI infrastructure, making AI accelerators and their revenue streams easier to value and finance. By connecting physical infrastructure with financial markets, the platform would help buyers, suppliers, and investors assess returns, manage risk, and channel more capital into AI infrastructure. The goal is to turn distributed capacity into a more productive, fungible, and durable infrastructure asset.

“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. By making compute easier to access, use, and trade, we're also laying the foundation for AI infrastructure to become an investable asset class.”

AI companies and infrastructure providers can learn more at hyperbolic.ai.

About Hyperbolic

Hyperbolic is the AI infrastructure platform that turns fragmented, heterogeneous bare-metal compute into a unified, productive, liquid AI cloud. It gives AI companies a single platform to buy, sell, manage, and orchestrate compute at scale while helping GPU providers bring capacity to market faster, increase utilization, and maximize yields on their infrastructure. Learn more at hyperbolic.ai.

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