About
Hyperbolic is an open-access AI cloud designed to give builders, startups, and enterprises affordable, flexible access to high-performance GPU compute and model inference infrastructure. With over 200,000 builders on the platform, Hyperbolic offers four core services: on-demand GPU clusters (H100/H200 from $1.49/hr), serverless inference, reserved clusters for long-term workloads, and dedicated hosting endpoints for single-tenant, high-throughput deployments. The serverless inference layer is fully OpenAI-compatible, meaning teams can swap a base URL and API key without rewriting their code. Hyperbolic supports a wide range of open-source models including Llama, Qwen, DeepSeek, SDXL, and Flux. It is notably the only platform serving Llama-3.1-405B-Base in BF16 precision — a distinction highlighted by OpenAI co-founder Andrej Karpathy. Instances spin up in under 60 seconds via a clean dashboard — no forms, sales calls, or quota negotiations. Payments are accepted via credit card or crypto. For teams with security and isolation requirements, dedicated hosting provides private single-tenant GPUs with full control over weights and endpoints, ideal for 24/7 inference or workloads exceeding 100K tokens/min. An AI consulting service is also available to help teams optimize sharding, throughput, and scaling strategies.
Key Features
- On-Demand GPU Clusters: Provision H100 or H200 GPUs in under 60 seconds with no quota games, sales calls, or long-term commitments. Scale up or down on demand.
- OpenAI-Compatible Serverless Inference: Run the latest open-source models (Llama, Qwen, DeepSeek, SDXL, Flux) via an API fully compatible with the OpenAI SDK — swap base URL and key, keep your existing workflow.
- Reserved & Dedicated Hosting: Secure guaranteed GPU capacity for long-term workloads with reserved clusters, or get single-tenant dedicated endpoints for private, high-throughput inference.
- Exclusive Model Access: The only platform serving Llama-3.1-405B-Base in both BF16 (high-precision) and FP8 (ultra-fast, low-latency) formats for maximum flexibility.
- AI Consulting & Engineering Support: Expert engineering assistance for sharding, throughput optimization, fine-tuning, and inference scaling to help teams ship faster and stay unblocked.
Use Cases
- Training and fine-tuning large language models on affordable H100/H200 GPU clusters without long-term cloud commitments.
- Serving open-source LLMs (Llama, Qwen, DeepSeek) via a drop-in OpenAI-compatible API for production AI applications.
- Running high-throughput, low-latency inference workloads exceeding 100K tokens/min on dedicated single-tenant endpoints.
- Rapid AI prototyping and experimentation using on-demand GPU instances that launch in under 60 seconds.
- Deploying text-to-image diffusion models like SDXL or Flux for scalable, cost-efficient image generation pipelines.
Pros
- Industry-Low Pricing: H100 GPUs available from $1.49/hr with honest, usage-based pay-as-you-go billing and no hidden fees or lock-in.
- Instant Deployment: Spin up GPU instances in under 60 seconds via a clean dashboard — no paperwork, quota approvals, or sales negotiations.
- Drop-In OpenAI Compatibility: The inference API is fully OpenAI-compatible, reducing integration friction and migration effort to near zero for existing AI applications.
- Exclusive Model Availability: Offers unique model variants like Llama-3.1-405B-Base in BF16 that are not available on competing platforms.
Cons
- Open-Source Models Only: Hyperbolic focuses on open-source and open-weight models; teams requiring access to proprietary models like GPT-4 or Claude must use other providers.
- Multi-Tenant On-Demand Clusters: Standard on-demand clusters are shared infrastructure; teams with strict data isolation or compliance requirements must pay for dedicated or reserved capacity.
- Younger Platform Ecosystem: As a newer cloud provider, Hyperbolic's ecosystem, support resources, and geographic availability may be more limited compared to hyperscalers like AWS or GCP.
Frequently Asked Questions
What GPUs are available on Hyperbolic?
Hyperbolic offers NVIDIA H100 and H200 GPUs for on-demand and reserved clusters, with H100s starting at $1.49/hr. Instances can be provisioned in under 60 seconds.
Is Hyperbolic's inference API compatible with the OpenAI SDK?
Yes. Hyperbolic's inference API is fully OpenAI-compatible. You only need to change your base URL and API key — the rest of your existing code works as-is.
Which AI models can I run on Hyperbolic?
Hyperbolic supports a wide range of open-source models including Llama, Qwen, DeepSeek, SDXL, and Flux. It is also the only platform offering Llama-3.1-405B-Base in BF16 and FP8 precision.
How does Hyperbolic pricing work?
Pricing is usage-based and pay-as-you-go with no hidden fees or long-term commitments. On-demand GPUs are billed hourly, and dedicated endpoints use hourly pricing as well. Payments can be made via credit card or crypto.
What is the difference between on-demand clusters and dedicated hosting?
On-demand clusters are multi-tenant (shared infrastructure) optimized for fast spin-up and low cost. Dedicated hosting provides single-tenant GPUs with private endpoints and full control over your weights, ideal for teams with security, isolation, or 24/7 high-throughput requirements.
