On-Demand and Reserved GPUs

DeployInstantly

If you need GPUs for rent, you can launch them in minutes and scale them on your schedule. Hyperbolic offers transparent pricing, a clean dashboard, and an API that feels familiar keep teams moving.

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Why Hyperbolic On-Demand GPUs for Rent

Affordable compute

Rent GPUs starting at $0.20/GPU/hr, cutting compute costs for training and inference.

Right GPU for Right Workloads

Choose from H100 SXM, RTX 3070, NVIDIA H200, RTX 4090, RTX 3080 — optimized for AI/ML workloads.

Flexible payments

Pay with wire / ACH upfront or monthly, or pay as you go via credit card / stripe

Secure SSH access

Authenticate via SSH key pairs for secure remote access (public key uploaded, private key stays local).

Smart billing notifications

Get notified within 3 minutes if an instance fails. No charges for failed instances — only pay for GPUs that come online.

Agent-compatible API

Automate GPU provisioning by allowing your AI agents or scripts to spin up and manage instances via API.

Pre-built Docker images

Skip setup and launch GPU workloads instantly with ready-to-use images for PyTorch, TensorFlow, and CUDA.

Clustered GPU allocation

Rent multiple GPUs in a cluster to unlock additional savings and maximized efficiency.

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More Flexibility,

Less Overhead

Get the power of GPU clusters without the heavy lifting. Multi-GPU clusters deploy in under a minute, giving you the freedom to scale out for distributed training and scale back down to keep budgets tight. High-bandwidth interconnects keep throughput high and latency low, while support for modern precision like BF16 and FP8 helps you optimize speed and cost. Teams lean on clusters here for everything from LLM fine-tuning to large-scale inference. You get bare-metal performance with direct GPU access and SSH, plus a single platform that grows with you from quick prototypes to dedicated hosting when you’re ready for always-on serving. Reserved clusters lock in guaranteed capacity for long jobs, while on-demand clusters keep experiments light and flexible.

AWS

Azure

CoreWeave

Fluidstack

Lambda Labs

RunPod

How it Works

Getting started with Hyperbolic doesn’t require a crash course in cloud engineering. The process is designed to be straightforward, so you can move from idea to execution without losing momentum. Here’s what it looks like in practice:

Choose your setup: fast VMs or bare metal performance

Set your GPU count: scale from a single node to 1000+ GPUs

Pick your interconnect: InfiniBand or Ethernet

Launch a cluster in minutes with no provisioning delays

Nvidia H100 SXM

$1.50 / HR

Nvidia H200

$2.40 / HR

Nvidia B200

$3.50 / HR

Nvidia RTX 4090

$0.30 / HR

Nvidia RTX 3070

$0.16 / HR

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Note: Pricing is refreshed weekly based on the best available rates from suppliers on our platform.

Guaranteed Capacity for Long Term Training

Lock in guaranteed GPU capacity for long-running training, fine-tuning, and scaling—without job interruptions or preemption.

Built for Every Workload

  • Evaluating Open Models at Scale

  • Generative AI development

Hyperbolic's computing platform has provided robust and reliable support for our Chatbot Arena. We run our FastChat and SLang applications on this platform to serve state-of-the-art open vision-language models. We are thrilled to leverage their solutions to deliver exceptional user experiences.

Lianmin Zheng

Lianmin Zheng

Member of Technical Staff, xAI