On-Demand and Reserved GPUs
DeployInstantly
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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 room to scale out for distributed training, then scale back down to keep budgets tight. High-bandwidth interconnects keep throughput high and latency low, while BF16 and FP8 support help you tune for speed and cost. You also get bare-metal performance with direct GPU access and SSH, plus one platform that can grow 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 flow is straightforward, so you can move from idea to execution without losing momentum.
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
Built for Every Workload
Evaluating Open Models at Scale
Generative AI development
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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.
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GPU Rental FAQs
Match VRAM and memory bandwidth to your model size, look for strong tensor performance, and consider interconnects for multi-GPU work. Support for BF16 or FP8 helps speed and cost, especially at scale. H100 and H200 are popular choices for training and high-throughput inference.
Yes. Use private endpoints and established tooling inside your containers, and keep inference stateless with zero data retention to protect sensitive inputs. You get the control you expect without handing over your data.
H100 and H200 are commonly available for clusters; check the Marketplace for current inventory and pricing. If you need guaranteed capacity, reserve a cluster to lock it in.