RunInfra

RunInfra is an AI inference optimization and deployment platform that turns plain language descriptions of open-source models or full applications into production-ready APIs. Instead of wrestling with configuration files and tuning parameters by hand, you simply describe what you want to run, and the platform handles the heavy lifting of getting it deployed. As a Y Combinator-backed company, RunInfra brings credibility and engineering depth to a problem every AI team eventually faces: serving models efficiently without burning money.

What sets it apart is how it finds the right setup for your specific model. RunInfra benchmarks leading serving engines, including vLLM, SGLang, and TensorRT-LLM, across a range of NVIDIA GPUs to identify the most cost-effective and low-latency configuration for your workload. That means you no longer have to guess which engine or hardware combination will give you the best price-to-performance ratio.

Under the hood, the automated Forge agent does the optimization work that would otherwise demand deep systems expertise. It fine-tunes kernels, quantizes models using AWQ, GPTQ, or FP8, and handles continuous batching and KV cache tuning, so your models run faster and cheaper with minimal manual effort.

When it comes to deployment, you stay in control. You can launch on RunInfra's managed infrastructure, which supports scale-to-zero so you never pay for idle capacity, or export the fully runnable deployment kit, including the Dockerfile and configs, to host on your own infrastructure such as RunPod, Modal, or local hardware. Either way, you get an optimized, production-ready setup that fits your workflow.