RunInfra

What it does

RunInfra is a platform that takes a plain-language description of an AI inference workload and automatically builds an optimized, deployable stack. Instead of manually configuring serving engines, quantizing models, or benchmarking GPUs, users describe what they want (e.g., "low-latency Llama 3.1 8B on cheapest GPU") and RunInfra compares engines (vLLM, SGLang, TensorRT-LLM, etc.), selects the best GPU, applies optimizations like AWQ quantization, FlashAttention v2, speculative decoding, and CUDA kernel tuning via its Forge agent, and produces a benchmark receipt and a deployment kit. The kit can be deployed on RunInfra Cloud (pay per million tokens, scale to zero) or exported to the user's own infrastructure (RunPod, Modal, or local hardware) with no lock-in.

Who it is for

RunInfra is designed for AI engineers, ML teams, and startups that need to serve open-source models in production but want to avoid the complexity of manually tuning and benchmarking inference stacks. It is especially useful for teams that need to compare multiple serving engines and GPU options, optimize for cost or latency, and maintain control over their deployment (privacy, customization, portability). The platform supports a wide range of models (Llama, Whisper, Qwen, DeepSeek, Mistral, Gemma, etc.) and tasks (LLM chat, speech-to-text, text-to-speech, embeddings, reranking, vision, video generation).

Why it matters

Deploying open-source models efficiently requires deep expertise in serving engines, quantization, kernel optimization, and GPU selection. RunInfra automates this process, reducing the time from model selection to production from days to minutes. By benchmarking real performance (p95 latency, throughput, VRAM usage, cost per million tokens) rather than relying on assumptions, it ensures users get the best price/performance for their workload. The ability to export the optimized stack means users are not locked into a single cloud provider and can maintain data privacy. This lowers the barrier to using open-source models in production, especially for teams without dedicated ML infrastructure engineers.

Launch signal

RunInfra is backed by Y Combinator (as part of RightNow) and has achieved SOC 2 Type II certification. The platform is live and offers a pipeline builder, pricing page, documentation, and research resources. It supports a broad ecosystem of models, engines, GPUs, and cloud targets, and provides a free tier for getting started.

Brand and naming

The name "RunInfra" directly communicates the core value proposition: running AI infrastructure. It is short, memorable, and domain-specific, appealing to developers and DevOps teams. The tagline "Describe the AI model you need and get an optimized AI" clearly sets expectations for a no-config, conversational interface. The brand positions itself as a pragmatic, performance-focused alternative to both closed-source APIs and manual self-hosting, emphasizing ownership and measurability.