General Compute
Fast AI inference API on custom chipsDeploy models and run inference at high speed
Highlights
What you can do with it
- Verify new AI models quickly in a research setting.
- Handle high volumes of customer queries for a business.
- Deploy and test a custom model for performance.
How to use it
- 1 Get an API key and claim the free credit.
- 2 Point your code's base URL to their API and authenticate.
- 3 Choose a model and call the API to run inference.
Who it is for
Pros
- High token throughput with low first-token latency.
- OpenAI-compatible API cuts migration work.
- A starter credit lets you test before committing.
Limitations
- Free credit and pricing terms can change and need sales contact.
- It is an API service, so expect developer integration work.
- Built for inference, not a full training platform.
What General Compute is
General Compute is an AI inference service designed only for running models, not for rendering or training. Rather than reuse general-purpose GPUs that carry decades of legacy design, it builds on dedicated ASIC chips made for inference. The company says this reaches up to 1000 tokens per second with a sub-millisecond time to first token and high throughput, so requests come back fast even under load. It exposes an API that is compatible with OpenAI, which means existing code and tools can often connect with only small changes to the base URL and key. You can deploy your own models or use the ones they provide.
What you can do with it
It is built for teams that need inference to feel instant.
- Run inference at up to 1000 tokens per second on custom ASIC hardware.
- Get a sub-millisecond first token to keep apps feeling responsive.
- Connect through an OpenAI-compatible API with minimal code changes.
- Deploy your own models or use theirs on dedicated infrastructure.
Who it is for
It serves workloads where latency and throughput matter.
- AI developers who need fast inference to test and ship models.
- Enterprises handling large volumes of real-time customer queries.
- Research teams that must validate models quickly.
What to watch out for
General Compute offers a 200 dollar free credit, but the exact pricing beyond that is not listed publicly and needs a conversation with the sales team, and those terms can change. This is an API service, so expect real integration work: you change base URLs, manage keys, and adapt your code. It is purpose-built for inference rather than training, so it is not a one-stop platform for the full model lifecycle. Confirm which models you can deploy and what throughput you actually get before you plan a production rollout around it.
FAQ
What hardware does it use?
It runs on dedicated ASIC chips designed for inference rather than general-purpose GPUs.
Is the API easy to adopt?
It is OpenAI-compatible, so existing code and tools can connect with few changes.
Is there a free credit?
Yes, new users can get a 200 dollar credit to try the service.
Why it is free
What the official page says： 免费额度免费
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
