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

Backed byCombinator

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

Open-source models, optimized for production

Any open model across text, image, speech, and vision, tuned end to end.

Llama 4 Maverick

400B MoEChat

FLUX.1 Schnell

12BImage

Whisper Large V3

1.5BASR

Qwen3 TTS

0.6BTTS

BGE-M3

568MEmbed

Qwen2.5-VL 7B

7BVision

DeepSeek R1

671B MoEReasoning

Qwen 2.5 72B

72BGeneral

Mistral Large

123BChat

Stable Diffusion 3.5

8BImage

GTE-Qwen2 1.5B

1.5BEmbed

Qwen2-Audio 7B

7BAudio

Gemma 2 27B

27BGeneral

Phi-4

14BReasoning

Nemotron 70B

70BInstruct

SDXL Turbo

3.5BImage

Whisper Large V3 Turbo

809MASR

XTTS v2

467MTTS

E5 Mistral 7B

7BEmbed

DeepSeek V3

685B MoECoding

Command R+

104BRAG

Nomic Embed v1.5

137MEmbed

Llama 4 Maverick

400B MoEChat

FLUX.1 Schnell

12BImage

Whisper Large V3

1.5BASR

Qwen3 TTS

0.6BTTS

BGE-M3

568MEmbed

Qwen2.5-VL 7B

7BVision

DeepSeek R1

671B MoEReasoning

Qwen 2.5 72B

72BGeneral

Mistral Large

123BChat

Stable Diffusion 3.5

8BImage

GTE-Qwen2 1.5B

1.5BEmbed

Qwen2-Audio 7B

7BAudio

Gemma 2 27B

27BGeneral

Phi-4

14BReasoning

Nemotron 70B

70BInstruct

SDXL Turbo

3.5BImage

Whisper Large V3 Turbo

809MASR

XTTS v2

467MTTS

E5 Mistral 7B

7BEmbed

DeepSeek V3

685B MoECoding

Command R+

104BRAG

Nomic Embed v1.5

137MEmbed

Llama 4 Scout

109B MoEGeneral

FLUX.1 Dev

12BImage

Distil-Whisper Large V3

756MASR

Orpheus TTS

3BTTS

Qwen 2.5 Coder 32B

32BCoding

Mixtral 8x7B

46.7B MoEMoE

DeepSeek R1 Distill 70B

70BReasoning

SDXL Lightning (4-step)

3.5BImage

Qwen 2.5 7B

7BLightweight

Codestral

22BCoding

Llama 3.1 8B

8BLightweight

Llama 3.3 70B

70BGeneral

Mixtral 8x22B

141B MoEMoE

DeepSeek Coder V2

236B MoECoding

Gemma 2 9B

9BGeneral

Command R

35BRAG

Stable Audio

1.2BAudio

Qwen 2.5 32B

32BGeneral

DeepSeek R1 Distill 8B

8BReasoning

Phi-3 Mini

3.8BEdge

Gemma 2 2B

2BEdge

Mistral Nemo

12BChat

Llama 3.2 3B

3BEdge

Llama 4 Scout

109B MoEGeneral

FLUX.1 Dev

12BImage

Distil-Whisper Large V3

756MASR

Orpheus TTS

3BTTS

Qwen 2.5 Coder 32B

32BCoding

Mixtral 8x7B

46.7B MoEMoE

DeepSeek R1 Distill 70B

70BReasoning

SDXL Lightning (4-step)

3.5BImage

Qwen 2.5 7B

7BLightweight

Codestral

22BCoding

Llama 3.1 8B

8BLightweight

Llama 3.3 70B

70BGeneral

Mixtral 8x22B

141B MoEMoE

DeepSeek Coder V2

236B MoECoding

Gemma 2 9B

9BGeneral

Command R

35BRAG

Stable Audio

1.2BAudio

Qwen 2.5 32B

32BGeneral

DeepSeek R1 Distill 8B

8BReasoning

Phi-3 Mini

3.8BEdge

Gemma 2 2B

2BEdge

Mistral Nemo

12BChat

Llama 3.2 3B

3BEdge

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.

RunInfra Agent

B200

Describe your AI pipeline...

From your model to production on vLLM
in minutes.

Llama 3.1 70B

text generation

vLLM

tuned

FlashAttention v2

PagedAttention

INT4 GEMM

Optimized kernels

+ server tuning

Your model gets speculative decoding without you touching a config.

✻RunInfra Kernel Agentv2.4.1

Faster inference, less VRAM, cheaper per million tokens, measured against baseline.

RunInfra Agent

B200

Ask a follow-up...

Ship on NVIDIA H100 pay per million tokens, or download the code and self-host.

0.0M

tokens

$0.00

total cost

$2.40/hrper-token

scale-to-zero, 0 idle cost

Lower bills. Faster inference. Full control.

Run any model on your own GPUs at native inference speed.

Personal AI assistant, self-hosted on a single L40S

Llama 3.1 8B in AWQ-int4, tool calling and streaming, per-million-tokens billing

Voice agent your team owns end-to-end

Whisper, Llama 3.2 3B, Chatterbox, targeting sub-600ms on one L4. No ElevenLabs bill.

Embeddings on the open models you own

GTE-Qwen2 1.5B encoder plus cross-encoder reranker, targeting 12k tokens/s on a single L4. Vectors stay on your stack.

Cited Q&A you can audit on your own corpus

Hybrid retrieval, grounded Llama 3.1 8B with citation spans, eval on your gold set. Single L40S.

Document AI without per-page fees

Qwen2.5-VL 7B vision, schema-driven JSON with zero violations under constrained decoding, single L40S.

Transcribe, diarize, redact on open Whisper

Whisper Large V3 Turbo, pyannote diarization, PII redaction, searchable transcripts. Single L4.

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 stack on our GPUs. Per-million-tokens, scale-to-zero, no idle bill.

Start building

Auto-scaling, no warm-up

Full observability

Continuous optimization

Bring your own

Self-Hosted

Export the stack and run it on your GPUs. Kernels included, you own the runtime.

Learn more

Any cloud or bare metal

Full infrastructure control

No vendor lock-in

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 / month in Optimization credits for optimization, agent chat, runbooks (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, 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 / 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

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

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.