Open source AI inference models have democratized the development of cutting-edge AI, but one major hurdle remains: the astronomical costs of running these models in production. To run Llama-3-70B with a typical cloud provider would cost $0.005-$0.015 per 1,000 tokens and about $3-4 per hour for the A100 GPU instance to power it. If you are a builder pushing the limits of AI, this is going to amount to $5,000-$15,000+ per month. For a well-established enterprise, this bill might not seem like a big deal—but for those of us driving innovation as researchers and startups, these costs can be prohibitive to pursuing paradigm-shifting ideas.
Hyperbolic is rewriting the economics of AI inference through an innovative decentralized approach, allowing AI builders to access high-performing AI inference models at lower costs than any traditional inference provider. Our open and accessible AI ecosystem delivers a marketplace approach to GPU resources and an ultra-efficient compiling service in a user-friendly interface, allowing us to offer high-performing AI inference models at accessible prices.
Hyperbolic’s Orchestrated GPU Advantage
Hyperbolic dramatically reduces the expense of running inference on high-performing AI inference models by tapping into a decentralized global network of underutilized GPUs. Through our advanced orchestration layer, we're able to aggregate GPU resources and offer the same high-performance inference capabilities as traditional providers at up to 75% lower costs. Our decentralized global network approach to delivering GPU resources not only reduces costs, but also ensures reliability and scalability for running inference. This isn't just about savings—it's about maintaining enterprise-grade performance to bring AI back to the people.
We have also developed a proprietary compiling technology that intelligently routes and executes each AI inference task to the most suitable GPU configuration for the many open source AI models we host on our AI Inference Service. This optimization process not only improves performance but also diverts wasted resources, allowing us to further maintain competitive pricing while delivering superior results and maintaining a focus on sustainability.
At Hyperbolic we are delivering several key innovations to ensure that running inference on high performing models remains accessible:
Smart Resource Allocation: Our orchestration engine automatically identifies and routes requests to the most cost-effective GPU resources while maintaining strict performance requirements. This means you're always getting the best balance of speed and cost.
Dynamic Scaling: Unlike traditional providers that charge for idle capacity, Hyperbolic's pay-as-you-go model ensures you only pay for the actual compute time used. Whether you're running a few inferences or millions, costs scale linearly with your usage.
Global Performance Optimization: By leveraging GPUs across different geographic regions, we can route requests to the nearest available resources, reducing latency while maintaining consistent pricing regardless of location.
Join Hyperbolic’s Open and Accessible AI Ecosystem
The AI landscape is at a turning point. As models become more sophisticated and computational demands grow, the traditional approach of paying premium prices for AI inference is becoming unsustainable. Take your ideas hyperbolic by accessing high-performing AI inference at app.hyperbolic.xyz/models.
