How do I build my first pipeline?

Type what you want, like 'a support copilot with Whisper and Qwen, tuned for latency.' RunInfra builds and optimizes the pipeline. Chat to refine it, then deploy.

Which AI models are supported?

Vetted Hugging Face models. LLM serving is fully supported end to end. Speech, embedding, vision, and image generation models are supported for optimization and benchmarking, with managed serving in staged rollout. Gated or unsupported models are flagged before you start, not after.

How does GPU kernel optimization work?

RunInfra profiles your model across GPUs, tries quantization, KV cache, serving, and kernel tweaks, and benchmarks the best tradeoff of speed, memory, and cost.

Can I deploy pipelines as APIs?

Yes. Supported pipelines deploy as REST endpoints in one click. If something isn't deployable yet, RunInfra tells you why instead of shipping a broken endpoint.

How is this different from using closed-source APIs?

Closed APIs hide the model and the infrastructure. With RunInfra you see both, and you benchmark open models against your own latency, throughput, and cost targets. Export the stack or run it in your own cloud to own it outright. Managed hosting is the convenient option, with a free deployment kit as your exit.

Encrypted in transit and at rest, on isolated infrastructure. Your inference data never trains anything. Run an exported kit in your own cloud and your inference data stays there. Use our managed endpoints and it passes through the subprocessors listed in our privacy policy. RunInfra is SOC 2 Type II attested.