Snapshot
Continue to About ↓- What it does
- Hyperbolic is an AI compute cloud that aggregates GPU capacity from multiple suppliers and resells it through one platform.
More detail
- Teams can launch on-demand NVIDIA H100, H200, and B200 instances, reserve dedicated clusters, run open models through an OpenAI-compatible inference API, or deploy GPU workloads on managed Kubernetes.
- Best for
- AI startups, research teams, and enterprise AI platform teams that need fast self-serve access to NVIDIA GPUs or token-billed model inference without long procurement cycles or multi-year commitments.
- Pricing
- Usage-based, with no monthly subscription.
More detail
- On-demand GPUs are billed by the hour, with rates refreshed weekly and floor prices listed at $3.19/GPU-hour for H100 SXM, $3.99 for H200, and $5.99 for B200
- actual rates vary by supplier.
- Reserved capacity is prepaid at a discount and requires a commitmen
- Main limitation
- Teams looking for a full general-purpose cloud with managed databases, CDN, and broad application services, or buyers who need published GPU regions and country-level data-residency guarantees before committing.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Hyperbolic is an AI compute cloud that aggregates GPU capacity from multiple suppliers and resells it through one platform.
- Teams can launch on-demand NVIDIA H100, H200, and B200 instances, reserve dedicated clusters, run open models through an OpenAI-compatible inference API, or deploy GPU workloads on managed Kubernetes.
What it helps with
- GPU scarcity and cloud quota limits slow down teams that need capacity quickly.
- Legacy cloud procurement cycles take weeks when experiments or production needs arrive sooner.
- Multi-year infrastructure commitments force teams to overcommit before workloads are proven.
- Running model-serving infrastructure in-house adds operational overhead for inference.
- Providers with idle or heterogeneous GPU capacity lack an easy path to monetize it.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| On-demand GPU instances | Yes | NVIDIA H100, H200, and B200 instances launch in minutes with SSH access and hourly usage-based billing. |
| Reserved GPU clusters | Yes | Dedicated multi-node capacity at discounted prepaid rates, requiring a commitment of under one year. |
| Serverless inference API | Yes | OpenAI-compatible API with streaming and token-based billing, so teams do not provision GPUs or manage model serving. |
| Managed Kubernetes for GPU workloads | Limited | Offered with GPU worker nodes, console-managed add-ons, and health monitoring, but currently in beta. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
38of 100
ChatGPT—/100
Claude38/100
What bots could verify
- • Identifies co-founders Jasper Zhang and Yuchen Jin with specific academic credentials and prior employment history.
- • Corroborates venture funding milestones, including a $7M seed round and $20M total funding, via investor posts and announcements.
- • Explicitly evaluates trustworthiness across structured dimensions and cautions against treating the absence of complaints as evidence of safety.
What weakens trust
- • No pricing models, hourly GPU rates, or cost structure evidence was located.
- • Lacks independent customer reviews, verifiable testimonials, or third-party case studies.
- • No documentation of SLAs, uptime metrics, data privacy standards, or compliance certifications (e.g., SOC 2).
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- hyperbolic.ai
Technical profile details
Record ID
cf047a3c-67b9-4d27-98b6-6372d1a62b42Canonical URLhttps://profiles.scribble.network/listing/hyperbolic-cf047a