Backed byCombinator
Optimize open models for production
Pick a compatible open-source model. RunInfra benchmarks GPUs, tunes supported runtime and kernel paths, and prepares deployment only when the evidence chain is verified.
Open-source models, optimized for production
Any open model across text, image, speech, and vision, tuned end to end.
We pick the model, generate the kernels, ship the API.
Quantization, speculation, KV cache, serving, all measured on your GPU.
Describe a Llama 3.1 70B inference pipeline in plain English.
From your model to production on 
vLLM
in minutes.
Your model gets speculative decoding without you touching a config.
Faster inference, less VRAM, cheaper per million tokens, measured against baseline.
Ship on NVIDIA H100 pay per million tokens, or download the code and self-host.
Lower bills. Faster inference. Full control.
Run supported open models on your own GPUs at native inference speed.
Two ways to ship optimized AI infrastructure
Run on our managed GPUs with usage-based pricing, or export the optimized stack and deploy it on your own infrastructure.
Simple, transparent pricing
Start free and scale as you grow. Only pay for the GPU compute you use.
Starter
Build and test pipelines, no deployment.
$/ month
Chat-driven builder + supported Hugging Face catalog
3 trial optimization runs / month
Pipeline playground (100 req/day)
Pro
For solo builders shipping inference endpoints.
$/ month
$50 / month in Optimization credits for optimization, agent chat, plans (yearly grants the full $600 upfront)
Pay-per-million-token Inference credits, top up any time
OpenAI-compatible API at 500 req/min
Deploy tab + scale-to-zero endpoints (under 2s cold start)
Custom GPU picker (T4, L4, L40S, A100, H100)
Optimization suite (AWQ, GPTQ, FP8, RunQuant)
Unlimited pipelines, up to 8 replicas
90-day metrics, 99.9% SLA, priority support
Team
For teams running production inference at scale.
$/ seat / month
$250 / seat / month in Optimization credits, shared pool (yearly grants $3,000 per seat upfront)
Always-on endpoints, zero cold start
OpenAI-compatible API at 5,000 req/min
TensorRT-LLM, speculative decoding, advanced routing
Kernel Agent GPU kernel optimization
Custom model uploads, up to 32 replicas
99.95% SLA, shared Slack support
Enterprise
Dedicated infrastructure, compliance, volume pricing.
Custom
Reserved GPU capacity with custom SLAs (up to 99.99%)
OpenAI-compatible API at 50,000+ req/min, custom ceilings
Volume token pricing (up to 40% off)
Custom model uploads at scale, secure ingest
Unlimited metrics retention
Dedicated CSM and private Slack
Common questions
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What is RunInfra?
RunInfra is a chat-native AI model optimization and infrastructure platform. You describe the AI application or inference pipeline you want to build, and RunInfra selects compatible open-source models, benchmarks GPU tiers, tunes supported runtime settings, and prepares deployment-ready infrastructure with unsupported paths surfaced before GPU work.