250,000+
builders on Hyperbolic
Your infrastructure, connected to a platform built for AI training, fine-tuning, and inference.
Meet Hyperbolic
You build the infrastructure. We help bring it to market.
Reaching AI customers takes more than GPU hardware. It takes provisioning, orchestration, a customer experience, and a way to reach the teams that need your compute.
Hyperbolic combines that software and distribution layer in one platform. Forge, our infrastructure control plane, brings different hardware configurations and provider environments into a consistent cloud experience.
Turn capacity into a usable cloud service
Integrate eligible infrastructure with Hyperbolic’s provisioning and orchestration stack, so customers can access compute through one platform.
Reach teams building AI
Connect with demand across experimentation, training, fine-tuning, and production inference, without building a separate acquisition channel for each workload.
Work with infrastructure engineers
Collaborate with our team on qualification, testing, and onboarding. Align hardware, networking, and operating requirements before capacity goes live.
One partnership. Multiple paths to demand.
Match your capacity, availability, and commercial goals to the right deployment model.
On-Demand
Make available inventory accessible to AI teams that need flexible GPU access for experiments, burst workloads, and ongoing development.
Reserved
Support customers with sustained workloads through committed capacity. Agree on the configuration, availability, and term that fit the deployment.
Private Cloud
Work with Hyperbolic on dedicated GPU deployments for teams planning larger or longer-term infrastructure needs.
Share your capacity
Submit your GPU models, node count, locations, availability, and pricing. Add specifications and supporting documents.
Confirm the fit
Our supply team reviews the opportunity with you, including the deployment timeline, operating model, and potential commercial structure.
Validate the infrastructure
Work with our engineers on technical diligence and agreed testing. Establish performance, networking, access, and support requirements.
Onboard approved capacity
Finalize the agreement and integration, complete acceptance, and bring eligible capacity into the deployment model agreed with Hyperbolic.
A few things to know.
Neoclouds, data centers, and GPU infrastructure operators with capacity to supply. Share who owns and operates the infrastructure, where it is located, and whether it is live or planned so our team can evaluate the fit.
Have your GPU models, GPU and node counts, server specifications, networking, data center locations, availability dates, and pricing ready.
Yes. Clearly identify planned capacity, expected testing and ready-for-service dates, and any remaining deployment dependencies. Our team will assess the opportunity and next steps.
Terms are discussed with our supply team based on the hardware, configuration, availability, commitment, and deployment model. Our team will work with you to define the arrangement for your capacity.
No. Submission starts the qualification process. Capacity must complete the applicable commercial agreement, technical review, integration, and acceptance before it goes live.
Share the details with our supply team, including when the capacity is available and any recall constraints. Eligibility and the operating model need to be evaluated for your infrastructure.
