Hyperbolic, an AI infrastructure platform, has raised $30 million in an oversubscribed Series A1 funding round led by Walden Catalyst. The venture capital firm was founded by Intel CEO Lip-Bu Tan and former Samsung Electronics corporate president and chief strategy officer 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, the New York Stock Exchange (NYSE), Vista Equity Partners, and GPU cloud providers WhiteFiber and Vector Core Compute.
Hyperbolic will use the funding to advance Forge, its unified control plane, expand its multi-cloud orchestration solutions and managed services, and develop its planned Global Compute Grid.
Addressing AI Computing Challenges
AI companies are increasingly in need of access to powerful computing resources but the GPU cloud market remains fragmented. More than 300 vendors provide a variety of hardware, networking systems, software and operating standards. This makes it difficult for businesses to manage infrastructure, control costs and access computing capacity effectively.
Meanwhile, GPU cloud providers can have a hard time making steady money while their hardware sits idle between workloads. Hyperbolic is solving these issues by linking available computing resources with customers in need of them.
The company was founded by Jasper Zhang, whose background includes mathematics research at the University of California, Berkeley, and quantitative research focused on market making at Citadel Securities. These experiences helped shape the company’s approach to improving access to AI computing through infrastructure management and more efficient capacity trading.
“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.”
Forge and Multi-Cloud Orchestration
Its Forge platform provides a unified control plane for managing computing infrastructure across different providers. It helps standardize GPU clusters, provision resources, manage networking, and orchestrate AI workloads through a single dashboard.
The platform also offers managed Kubernetes and AI inference services. Its unified API allows AI teams to access models hosted by Hyperbolic and external providers without directly managing the underlying infrastructure.
Hyperbolic is also expanding its multi-cloud orchestration capabilities to help customers choose where to run workloads based on cost, performance, and availability.
“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 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.”
Building a Global Compute Grid
A key part of Hyperbolic’s strategy is its planned Global Compute Grid, a platform designed to let customers and suppliers buy, sell, and resell eligible GPU capacity.
The company plans to introduce spot instances and dynamic pricing to match computing supply with demand more efficiently. Customers could access capacity when needed while providers could generate revenue from otherwise idle GPUs. Hyperbolic is also exploring market-making strategies to improve liquidity and help customers and suppliers manage fluctuations in computing prices.
In the longer term, the company aims to develop an autonomous computing platform that can automatically select and provision resources based on a workload’s budget, deadline and performance requirements.
The system could adjust resource allocation as prices and availability change, including supporting AI agents that acquire and manage computing capacity within defined policies.
Hyperbolic also aims to make AI infrastructure easier to value and finance by connecting physical computing resources with financial markets.
Through these initiatives, the company seeks to improve GPU utilization, reduce effective computing costs for AI businesses, and help infrastructure providers generate greater returns from their investments.
