RunInfra.

RunInfra

RunInfra is an AI infrastructure platform that automatically optimizes open-source models for production deployment. Simply describe your workload in plain English, and RunInfra benchmarks GPU options, tunes serving engines, and delivers a deployment-ready stack you can run anywhere. Eliminate manual configuration and hidden performance assumptions with measured, reproducible optimizations for any open model.

Product Highlights

• Auto-Optimization Engine: Automatically compares vLLM, SGLang, TensorRT-LLM, and other serving engines to find the best fit for your specific model and workload requirements.
• GPU Benchmarking: Tests across NVIDIA L4, L40S, A100, H100, H200, and B200 GPUs with real performance metrics including p95 latency, throughput, VRAM usage, and cost per million tokens.
• Zero-Config Tuning: Applies advanced optimizations including AWQ quantization, FlashAttention v2, continuous batching, speculative decoding, and prefix caching without manual configuration.
• Full Stack Ownership: Receive complete deployment kits with Dockerfiles, Kubernetes configs, and runnable scripts—deploy on RunInfra Cloud, Modal, RunPod, Vast.ai, or self-host with no lock-in.
• Verified Benchmark Receipts: Every optimization produces reproducible results with before/after metrics, detailed execution plans, and exportable configuration files.

Use Cases

• Cost-Optimized LLM Serving: Deploy Llama, Qwen, DeepSeek, or Mistral models at minimum viable cost while maintaining strict latency SLAs for chat and completion APIs.
• Speech AI Pipeline: Run Whisper Large V3 Turbo with production-grade p95 latency guarantees and real-time cost tracking for transcription and translation workloads.
• Embedding at Scale: Build high-throughput retrieval systems with BGE-M3, NV-Embed, or GTE models optimized for batch processing and memory efficiency.
• Multimodal Production: Ship vision-language models like Qwen2-VL, Pixtral, and Llama 3.2 Vision with tuned inference stacks for image understanding and generation tasks.

Target Audience

RunInfra serves AI engineering teams, ML platform engineers, and technical founders who need to move beyond black-box APIs and closed-source models. Ideal for organizations requiring data sovereignty, custom performance tuning, or portable infrastructure that runs on their chosen hardware without vendor lock-in.