RunInfra is a chat-native AI model optimization and infrastructure platform. You describe the AI application or pipeline you want to build in plain English, and RunInfra turns that into an optimized deployment by selecting models, benchmarking GPU tiers, tuning runtime settings, and shipping production-ready inference infrastructure.

How is RunInfra different from OpenAI or Anthropic APIs?

With closed-source APIs, you pay per token with no control over latency, throughput, or cost. With RunInfra, you own the model and the infrastructure. RunInfra optimizes GPU kernels so your open-source models run as fast (or faster) than proprietary APIs, at a fraction of the cost.

All data is encrypted in transit and at rest. RunInfra runs on isolated GPU infrastructure with full data separation. Your inference data never leaves your deployment, and it is never used for training. We publish our security posture in the trust center, and RunInfra is SOC 2 Type II compliant.

What does the free plan include?

Starter (free forever) lets you build up to 3 pipelines, run 3 trial optimization runs per month, and test in the playground (100 requests/day). No credit card required.

What GPUs are available?

6 GPU tiers from L4 (24GB) to B200 (180GB) including L40S, A100, H100, and H200. The agent recommends the best GPU for your model and budget.

RunInfra is now public.See what's new

RunInfraby RightNow

Optimize any open model for production.

Pick any open-source model, and RunInfra benchmarks GPUs, optimizes kernels, and deploys a production API. You ship faster, pay less.

Start building View pricing

Model Catalog

Open-source models, optimized for production

Pick the right open-source models for your AI application, then let the agent handle optimization, infrastructure, and deployment across the stack.

Llama 4 Maverick400B MoEChat

DeepSeek R1671B MoEReasoning

Qwen 2.5 72B72BGeneral

Mistral Large123BChat

Gemma 2 27B27BGeneral

Phi-414BReasoning

Nemotron 70B70BInstruct

DeepSeek V3685B MoECoding

Llama 3.3 70B70BGeneral

Qwen 2.5 Coder 32B32BCoding

Mixtral 8x7B46.7B MoEMoE

DeepSeek R1 Distill 70B70BReasoning

Gemma 2 9B9BGeneral

Command R+104BRAG

FLUX.1 Schnell12BImage

Whisper Large V31.5BASR

Llama 4 Maverick400B MoEChat

DeepSeek R1671B MoEReasoning

Qwen 2.5 72B72BGeneral

Mistral Large123BChat

Gemma 2 27B27BGeneral

Phi-414BReasoning

Nemotron 70B70BInstruct

DeepSeek V3685B MoECoding

Llama 3.3 70B70BGeneral

Qwen 2.5 Coder 32B32BCoding

Mixtral 8x7B46.7B MoEMoE

DeepSeek R1 Distill 70B70BReasoning

Gemma 2 9B9BGeneral

Command R+104BRAG

FLUX.1 Schnell12BImage

Whisper Large V31.5BASR

Llama 4 Scout109B MoEGeneral

Mixtral 8x22B141B MoEMoE

DeepSeek Coder V2236B MoECoding

SDXL Turbo3.5BImage

Qwen 2.5 7B7BLightweight

Codestral22BCoding

Llama 3.1 8B8BLightweight

Qwen 2.5 32B32BGeneral

DeepSeek R1 Distill 8B8BReasoning

Phi-3 Mini3.8BEdge

Gemma 2 2B2BEdge

Mistral Nemo12BChat

Llama 3.2 3B3BEdge

Command R35BRAG

Stable Diffusion 3.58BImage

FLUX.1 Dev12BImage

Llama 4 Scout109B MoEGeneral

Mixtral 8x22B141B MoEMoE

DeepSeek Coder V2236B MoECoding

SDXL Turbo3.5BImage

Qwen 2.5 7B7BLightweight

Codestral22BCoding

Llama 3.1 8B8BLightweight

Qwen 2.5 32B32BGeneral

DeepSeek R1 Distill 8B8BReasoning

Phi-3 Mini3.8BEdge

Gemma 2 2B2BEdge

Mistral Nemo12BChat

Llama 3.2 3B3BEdge

Command R35BRAG

Stable Diffusion 3.58BImage

FLUX.1 Dev12BImage

How It Works

From chat prompt to optimized AI application

Describe the AI product you want to build. The agent turns that into an optimized model stack, benchmarks the infrastructure, and deploys the result end to end.

Describe

Describe the AI application you want

Specify the workflow, models, and constraints in plain English. The agent turns intent into an inference architecture and deployment plan.

RunInfra Agent

B200

Describe your AI pipeline...

Build

Compose the model stack and runtime

Build multi-model pipelines with routing, orchestration, and infrastructure decisions shaped around your workload and constraints.

Optimize

Tune models, runtimes, and kernels

Run optimization passes across quantization, serving configuration, memory usage, and kernel-level improvements to fit your target latency and cost.

✻RunInfra Kernel Agentv2.4.1

Benchmark

See what changed

Side-by-side comparison of baseline vLLM against your optimized config. Latency, throughput, memory, cost.

RunInfra Agent

Ask a follow-up...

Deploy

Ship managed or self-hosted infrastructure

Run on managed GPUs or export the optimized stack to your own cloud. The same chat-driven workflow can end in hosted inference or self-hosted control.

Inference pipelines

From one chat to a production pipeline.

The models, the GPUs, the optimizations, all picked and deployed without you touching a YAML file.

Whisper → Llama 3.2 → Chatterbox

Real-time voice pipeline · sub-600ms STT → LLM → TTS

Llama 3.1 70B on a single A100-80GB

AWQ-int4 · 42 GB footprint · 96% quality retained

BGE-M3 + Cohere rerank

Semantic retrieval · p95 85ms over 500k documents

Whisper-Large-V3 batch job queue

L4 pool · scale-to-zero · $0.004 per minute of audio

Gemma-VL-27B with JSON schema

Structured extraction · 94% field accuracy · 800ms p50

Qwen 2.5 7B + EAGLE-3 draft

Speculative decoding · 2.3× chat throughput · same quality

Deployment

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.

Managed

RunInfra Cloud

Your optimized model runs on our infrastructure with auto-scaling and scale-to-zero. Pay per million tokens, no idle costs.

Start building

Per-million-token billing

Auto-scaling to demand

Scale-to-zero when idle

Observability and full analytics

Continuous optimization post-deploy

Bring your own

Self-Hosted

Export your optimized config and deploy anywhere. Your GPUs, your cloud, your rules. We generate the kernels, you own the runtime.

Learn more

Export optimized model config

Any cloud (AWS, GCP, Azure)

Deploy on your own GPUs

Full infrastructure control

No vendor lock-in

Pricing

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.

0123456789

/ month

Chat-driven builder + full Hugging Face catalog

3 trial optimization runs / month

Pipeline playground (100 req/day)

Smart auto GPU + routing

3 active pipelines

7-day metrics retention

Community support

Pro

For solo builders shipping inference endpoints.

0123456789

/ month

$50 monthly Optimization credits for optimization, agent chat, runbooks

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, A100, H100, H200, B200)

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.

0123456789

/ seat / month

$250 monthly Optimization credits per seat (shared pool)

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

1-year metrics retention

SSO, audit logs, RBAC

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

SOC 2 Type II compliance

Dedicated CSM and private Slack

FAQ

Common questions

Can't find what you're looking for? Get in touch

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 the right open-source models, benchmarks GPU tiers, tunes runtime settings, applies optimizations, and ships production-ready infrastructure from one conversation.