The Unified Interface for AI Compute

Give us your workload. We'll find the best available GPU for it - and run it there automatically.

Benefits:

One API for Any Provider

Access GPU compute across providers through one unified interface. No separate accounts, APIs, or setup flows.

Higher Availability

Never run out of compute: When one providers GPU is unavailable, overloaded, or overpriced, we route to another. Need 150 GPUs? No problem

Price & Performance

We compare live pricing, GPU specs, benchmarks, and availability to find the best available option for your workload.

Automatic Routing

Send the workload once. We decide where it should run, execute it, and adapt as prices and availability change - no vendor lock-in

Why is this needed?

The cloud GPU market has exploded due to the AI boom. As a result, dozens of providers have emerged, each selling the same GPUs but with slightly different pricing, availability, and performance. As the GPU market continues to grow, even more providers will appear to satisfy the ever-increasing demand for compute.

Today, a startup running AI workloads is forced to choose where to run them. They pick a provider, integrate with that provider's API, adapt to its infrastructure, and start running jobs. Over time, that provider becomes harder and harder to change. That is vendor lock-in.

But with all of this available compute, why should startups be forced to choose a single provider? Pricing changes constantly. Performance varies by provider, region, machine type, and workload. The best place to run a job today may not be the best place to run it tomorrow. The provider a startup chose yesterday might not be the best option today.

Why can't they run their workloads on the best available GPUs across every provider, depending on what is most efficient right now? Why are startups limited to the capacity, pricing and performance of the provider they chose months ago?

The reason is that there is no unified interface for the GPU cloud - nothing like what OpenRouter did for LLMs.

I'm building that unified interface. We enable startups to run their GPU jobs on the best hardware available, regardless of the provider. Instead of choosing one vendor and getting stuck, we automatically select the optimal GPU from across the market and run the job there. This saves startups money, ensures better performance, increases availability, and eliminates vendor lock-in.