Hyperbolic —
High-performance inference & on-demand GPU clusters for teams that refuse to overpay

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About Hyperbolic

We envision a future where access to AI computing power is no longer a barrier, but a universal utility accessible to all innovators. Hyperbolic is building the world’s most accessible, scalable, and efficient AI cloud platform by harnessing decentralized GPU resources, empowering developers with affordable and seamless AI infrastructure.

At the core of our mission is democratizing AI development by unlocking unused GPU capacity worldwide through our decentralized marketplace and Hyper-dOS. We are pioneering new protocols like Proof of Sampling to ensure trust and reliability in distributed compute environments, reshaping the AI infrastructure landscape for a collaborative, open future.

Our platform fosters a vibrant ecosystem bridging AI product developers, researchers, and enterprises to enable unprecedented scalability, security, and innovation with open-access AI tools and blockchain-enabled incentives fueling the next generation of intelligent applications.

Our Review

We've been tracking Hyperbolic since their 2022 launch, and honestly, their approach to AI infrastructure feels refreshingly different. While everyone else is building bigger data centers, these Berkeley and UW grads decided to flip the script entirely.

The core idea is brilliantly simple: your MacBook's GPU sits idle most of the day, right? So does compute power in data centers worldwide. Hyperbolic's building a marketplace that connects all this unused GPU capacity with AI developers who desperately need affordable computing power.

What Makes This Clever

We love how they're tackling the real pain point that smaller AI companies face. Getting access to GPUs for training models can cost a fortune through traditional cloud providers. Hyperbolic's decentralized approach could slash those costs while making AI development more accessible to everyone.

Their Hyper-dOS operating system is particularly impressive—it coordinates GPU resources scattered across the globe and makes them work together seamlessly. That's no small technical feat.

The Trust Factor

Here's where things get interesting. Decentralized computing sounds great until you worry about security and reliability. Hyperbolic developed something called Proof of Sampling (PoSP) with researchers from UC Berkeley and Columbia to verify that remote GPUs are actually doing the work they claim.

We're curious to see how this holds up at scale, but the academic backing gives us confidence they're thinking through the hard problems.

Who This Actually Helps

If you're a startup trying to train your own AI models without breaking the bank, Hyperbolic could be a game-changer. They're already working with companies like Quora and platforms like Hugging Face, which tells us the tech is moving beyond proof-of-concept.

The $20 million they've raised from Polychain Capital and Variant shows serious investor confidence. But we'll be watching to see if they can deliver on the promise of truly democratizing AI infrastructure—because that would be huge for the entire industry.

Features

Platform Type
Website
Pricing
Contact for pricing
Features

Decentralized GPU Marketplace connecting GPU suppliers with AI developers

Hyper-dOS decentralized operating system coordinating global GPU resources

AI Inference Services providing access to open-source AI models like Meta’s LLaMA

Agent Framework for autonomous AI agents allowing evolution, scaling, and self-replication

Proof of Sampling (PoSP) protocol for trust verification in decentralized AI computing

Planned Blockchain and Native Token system for GPU rental payments and incentives

Jobs

Quantitative Researcher
Sep 20, 2026
Open
Open
Head of Marketing
Sep 20, 2026
Open
Open
Inference Engineer
Sep 20, 2026
Open
Open

FAQs

When was Ploy founded?

Ploy was founded in 2024.

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Last Update
August 20, 2026
Categories
Productivity
AI Chatbots
Low-Code/No-Code
Developer Tools
Agent
Business Operations
Companies size
11-50
Country
United States
Last funding
Series A
Bio

Hyperbolic provides high‑performance GPU clusters and managed inference for AI startups and ML teams that need reliable capacity on demand, at a lower cost than anyone else. Researchers use Hyperbolic to launch new models faster, avoid GPU waitlists, and scale from prototype to production on the same platform for both training and inference.

Software Development