Call 200+ open and proprietary models through one OpenAI-compatible API. No GPUs to manage, no cold starts to fight — just send a request and pay per token.
Connect any AI model — proprietary or open-weight — via private AI inference.
Purpose-built serving stack with speculative decoding and optimized kernels delivers industry-leading tokens/sec and sub-second time-to-first-token.
Chat, reasoning, vision, image, video, audio, embeddings, and rerank — all behind a single OpenAI-compatible endpoint. Swap models with one line.
No GPUs to provision, no clusters to babysit, no scaling to configure. We handle capacity, autoscaling, and failover so you ship instead of ops.
Only pay for what you use, billed per token or per request. No idle costs, no minimums. Scale from your first prototype to billions of tokens.
Point your existing OpenAI client at garlicmax and keep every method you already use. Switch between DeepSeek, Llama, Qwen, or a private fine-tune by changing a single string.
Median output speed in tokens per second, measured on identical prompts against commodity inference providers.
On-demand, pay-per-token
Reserved capacity, predictable cost
Private endpoint, isolated GPUs
Bring your own model & runtime
Your prompts and completions are never used to train models. Encryption in transit and at rest, granular API keys, and audit logging come standard on every plan.
Free credits to start. No credit card, no infrastructure, no commitment.