
Google Colab Pro
Best for Rapid prototyping and educational data science within a Jupyter environment.

Best for Web3 developers and AI startups looking for highly scalable, cryptographically verifiable, and deeply discounted decentralized compute.
Hyperbolic is redefining AI compute through its massive open-access decentralized computing network. By uniting global compute power—from massive tier-1 data centers to independent GPU clusters—Hyperbolic offers highly verifiable, secure, and cost-effective AI hosting. They utilize advanced cryptography (Zero-Knowledge proofs) to ensure that code executed on distributed nodes remains completely private and unaltered. It represents the frontier of Web3 AI infrastructure, providing massive compute scale at a fraction of centralized hyperscaler costs.
| GPU Models | H100, A100, RTX 4090 (Decentralized) |
| GPU Types | A100, H100, RTX 4090 (Decentralized) |
| Headquarters | San Francisco, CA |
| Founded | 2022 |
| Availability | Available Now |
| Website | hyperbolic.xyz ↗ |
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Hyperbolic GPU cloud pricing starts from $0.35/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Hyperbolic offers H100, A100, RTX 4090 (Decentralized) GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Hyperbolic operates data centers in Global Decentralized Network. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Hyperbolic and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Hyperbolic offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

Best for Rapid prototyping and educational data science within a Jupyter environment.

Best for European AI startups and researchers seeking low-cost, 100% renewable energy GPU compute with strict GDPR compliance.

Best for Hardware engineers and AI developers optimizing inference for power-constrained or high-throughput edge deployments.