Description
General Compute is an inference provider focused on speed. It deploys AI models on purpose-built ASIC infrastructure rather than GPUs, and exposes them through an OpenAI-compatible API so teams can switch by changing their base URL and API key without rewriting code. It advertises sub-millisecond time-to-first-token, high throughput, and up to 1,000 tokens per second, with benchmarks comparing the same model run on General Compute against a GPU baseline.
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The platform offers three ways to run: a self-serve API with usage-based inference, dedicated capacity for teams that need guaranteed capacity and production support, and bring-your-own-model serving that runs private weights on General Compute's infrastructure. All share the same OpenAI-compatible surface, including tool calling, JSON mode, reasoning-ready models, and streaming semantics, so existing orchestrators keep working. Production traffic runs in a US region today, with dedicated regions available for enterprise deployments.
General Compute positions itself as a demand-driven, asset-heavy provider that buys, deploys, and operates specialized silicon (such as SambaNova and Etched Sohu) so customers can run on chips they would not rack themselves, selling the result as inference. New accounts start with free credit, and pay-as-you-go plans inherit best-effort reliability while enterprise tiers add contractual SLAs, escalation paths, and dedicated capacity.
- CategoryMLOps & Model Deployment
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
General Compute's Core Features
OpenAI-compatible inference API with base-URL migration
Purpose-built ASIC infrastructure for high-speed inference
Low time-to-first-token and high throughput
Tool calling, JSON mode, reasoning models, and streaming
Self-serve API, dedicated deployments, and bring-your-own-model serving
Free credit for new accounts
Enterprise tiers with contractual SLAs and dedicated capacity
How to use General Compute?
Get a key: Sign up and receive an API key with free credit.
Swap your base URL: Point your existing OpenAI-compatible SDK at General Compute.
Run inference: Send requests and use tool calling, JSON mode, and streaming as usual.
Scale up: Move to dedicated capacity or bring your own model when you need guaranteed capacity.
General Compute's Use Cases
- Coding agents
- Real-time voice and interactive AI
- High-throughput inference
- Private model serving
