Run AI compute with Sonic Inference
The Sonic Inference Engine is a vertical inference platform: custom hardware and software engineered as one system. Sonic Pods are the productized hardware, now in production and deploying to cities near you. The software layer keeps a single Model Lake of 400K+ models resident and routes every request to the right pod. Together, the infrastructure built to power the AI economy, at ~10× lower price.
Two layers. One system.
Sonic Inference Engine is the whole stack. The hardware that runs your models and the software that routes to it are designed together, so neither is a compromise.
Sonic Pods
The hardwareA complete AI inference data center in a 20 ft container.
Our proprietary micro-datacenters pack 1,000+ density-packed GPUs, custom liquid cooling and proprietary networking, engineered from the PCB up.
10,000 nodes coming online soon- 1 MW of inference compute per container
- 3 weeks from order to live, 50× faster buildout
- 90% lower CAPEX than a traditional data center
Sonic Inference
The softwareOne pool of 400K+ models with intelligent per-request routing.
The software layer decides which pod serves each request, delivers sub-second cold starts and keeps models resident across the fleet.
- 400K+ models in a single shared lake
- Under 1 second cold start for any model
- 200 ms LoRA hot-swap with no pod reload
One pool, every model.
Sub-second cold start.
The Model Lake holds 400K+ models ready to serve. The router decides which pod runs each request.
Purpose-built for inference.
Four platform principles behind Sonic Inference. Built to keep models fast, available and efficient across a distributed fleet.
Sustained throughput per workload
Keep GPUs busy with intelligent scheduling, routing and workload placement, reducing idle time and improving throughput across the fleet.
Parallelised large-model inference
Serve larger models by distributing inference across multiple GPUs, with orchestration designed to reduce latency and improve utilisation.
Managed model deployment
Bring your model to Runware and we handle deployment, optimisation, scaling and monitoring. Models can be served through our managed API without customers operating inference infrastructure themselves.
Kernel and runtime optimisation
We tune the full software stack, from runtime configuration to model execution paths, to reduce latency and improve inference efficiency across supported workloads.
Bring your AI to Sonic.
Whether you're deploying custom inference code or simply want your models served at scale, Sonic Inference gives you two deployment options.
Local access. Global scale.
A globally distributed inference platform built for low latency and unlimited scale.
Local availability
Global points of presence with local Model Lakes, low latency and realtime cold starts.
Universal compatibility
Any pod can run any model, with no restrictions on model or inference type.
Elastic scaling
Capacity scaling via third-party GPU providers, with no scale or capacity limits.
Direct power sourcing
Power sourced directly at the source: lowest cost, no overheads or transport charges.
Pay less, ship more
Join 200K+ devs using the most flexible, fast, and lowest cost API for media generation.