AI infrastructure rebuilt to cost less.
One API for all models. Or run any AI workload serverless at half the cost of a hyperscaler, powered by the modular data centers we build.
Sonic Pods. AI data centers we design and run. See how they work
From request to result: we built every layer.
Four layers, all built by us. The orchestration layer and the modular Sonic Pods together form the Sonic Inference Engine®.
Explore the platform
Click a layer to step through
Platform scale and reach
Inference requests served across image, video, audio, language and 3D.
Models on one endpoint: open, frontier, partner, and your own uploads.
Developers building production AI features on Runware today.
End users reached by applications running on our infrastructure.
Lower cost per generation than published market rates, no quality tradeoff.
Uptime across the platform over the last 90 days.
400K models.
Ready to call.
Every model, every provider, same auth and billing. Switching model is a string change.
curl -X POST https://api.runware.ai/v1 \ -H "Authorization: Bearer $RUNWARE_API_KEY" \ -d '[ { "taskType": "imageInference", "model": "runware:400@1", "positivePrompt": "machinery, green-to-yellow gradient", "width": 1024, "height": 1024 } ]'
Any AI workload.
Run on serverless.
Bring your containers and model weights and run them on the same modular GPU infrastructure that powers the Runware API. Billed by the second, with workloads scaling down to zero when idle.
Your workload or model
Bring your container and your own model weights. Deploy and run without provisioning infrastructure.
01 · Bring
On our infra
Elastic, metered and fully operated by us. Billed by the second for the compute you use.
02 · Run
$1.99
per GPU-hour · RTX PRO 6000
Pay as you go, metered by the second. GPU rates vary by hardware, and when your workers scale to zero, so does your compute bill.
03 · Save
$1.99/hour for RTX PRO 6000, versus $3.00–$4.00 elsewhere. We rebuilt the entire stack to be modular and efficient, cutting the cost of compute and passing the savings on to you.
Explore ServerlessGPU compute. When you need it.
Serverless is pay as you go. Once you know your baseline, commit to capacity for a term instead: guaranteed GPUs on the serverless platform, or a dedicated bare-metal cluster on Sonic Pods.
New data center. New cost model.
Our hardware, our inference engine, the same models. Up to 90% below market rates.
Runs where you already build.
Let an agent do the wiring. Connect Claude Code, Cursor or any MCP client, add your key, and you are running in minutes.
“Great pricing and API flexibility. Our users want to try every model, hyperparameter, LoRA and option. Other providers scatter these across different endpoints. Runware unifies them all.”
Ship to millions of users in hours.
Inference close to your users, no GPUs to provision, and you pay as you go.
FAQs
Everything developers ask before the first call. Longer answers live in the docs, and support is one message away.
One key, one endpoint, one invoice. Image, video, audio, language, vision and 3D all POST to https://api.runware.ai/v1 as an array of tasks. You can batch different modalities in a single call, connect over REST or WebSockets, and attach a webhook per task.
A custom hardware and software stack built specifically for inference. We tune it from BIOS and kernel upward, run models on hardware we own, and keep weights preloaded across regions, which is where the throughput and the lower unit cost come from.
The models are the same; the infrastructure is not. Open models bill on optimised compute time, so a faster generation is automatically cheaper. Closed and partner models are priced at rates we negotiate at volume.
You move to a dedicated cluster on the same hardware, provisioned in hours and billed by the second. The API surface does not change, so your code does not either.
Never. Inputs and outputs are encrypted in transit and purged automatically unless you opt into storage. SOC 2 and ISO 27001 certified, GDPR aligned, with EU and US data residency.