Hyperbolic
Hyperbolic is a unified AI compute platform that turns fragmented GPU capacity into productive infrastructure, allowing teams to access on-demand NVIDIA H100, H200, and B200 GPUs, manage Kubernetes clusters, and run inference through a single interface. The platform serves over 250,000 builders, including AI startups, researchers, and enterprise teams, with flexible rental options and an OpenAI-compatible inference API.
- Developer Tools
- Artificial Intelligence
- Software Only
Funding
Raised to date
$68MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 5 rounds
+29$30M · Series A
Announced Oct 2026
Disclosed cumulative: $68M
Founders
Product
Problem
AI teams face significant barriers to accessing GPU compute, including fragmented providers with different hardware, networking, and operational standards, complex procurement cycles, rigid contracts, and high upfront costs. This fragmentation leaves many teams unable to scale experiments to production, while GPU providers struggle with idle capacity and inconsistent revenue.
Solution
Hyperbolic provides a unified platform that turns heterogeneous GPU compute into productive AI infrastructure, allowing teams to access global capacity, manage clusters, and run inference from a single interface. The platform offers on-demand GPU instances with NVIDIA H100, H200, and B200 GPUs, managed Kubernetes clusters, and an OpenAI-compatible inference API, eliminating the need for complex provider negotiations and benchmarking. Hyperbolic's Forge control plane standardizes bare-metal GPU clusters into validated infrastructure with a common dashboard for provisioning, virtualization, networking, and operations across providers. The platform also enables GPU providers to bring capacity to market faster, increase utilization, and maximize yields on their infrastructure investments.
Target Audience
Primary customers include AI startups, researchers, enterprise AI teams, neoclouds, GPU cloud providers, and AI infrastructure platforms that need flexible, on-demand access to GPU compute without complex procurement or operational overhead.
Features
- On-demand GPU compute with NVIDIA H100, H200, and B200 GPUs, launchable in minutes without heavy upfront payment or lengthy procurement cycles
- Managed Kubernetes clusters with GPU worker nodes, configurable from the Hyperbolic console with add-on management and cluster health monitoring
- OpenAI-compatible serverless inference API with token-based billing, supporting leading open-source models without requiring users to provision GPUs
- Forge unified control plane that standardizes heterogeneous bare-metal GPU clusters with common provisioning, virtualization, networking, and operations tooling
- Private cloud options through a supplier network for long-term, dedicated capacity tailored to large-scale training and production workloads
- Unified API enabling access to models hosted by Hyperbolic and external providers, with support for scaling from experimentation to production
- Open-source Rental Operator that declares GPU rentals as Kubernetes resources, allowing teams to rent, connect to, and release GPUs directly from kubectl or GitOps workflows