Modular AI inference. Up to 10× lower cost.
100× cheaper buildout vs traditional data centers.
Located closer to your users for faster inference times.
Runs any GPU architecture, ready for whatever ships next.
Consumed as serverless inference, metered by the second.
The cloud was never built for AI inference. Every AI app today runs on a pile of compromises: general-purpose GPU clusters run inefficiently in data centers designed for a different era.
So we rebuilt the stack.
Traditional data center
Sonic Inference Pods
Traditional data center
40–60%
Wasted on the wrong infrastructure
Most AI today runs on infrastructure built for websites, databases and cloud workloads. AI inference doesn't care where it runs: the same request returns the same result from anywhere. Yet you still pay for backup systems, overbuilt redundancy, permits and huge setup costs.
Sonic Inference Pods
10×
Saved when everything is modular
A modular pod carries none of that overhead: no oversized buildings, no backup systems, no years of sunk cost. Every component inside exists to serve inference, so you pay for compute throughput, not infrastructure overhead.
Traditional data center
1/3
Of the power goes to cooling
In a typical data center around a third of the electricity is spent on cooling, power conversion, distribution and other building systems rather than compute. Global data-center electricity consumption is projected to roughly double by 2030.
Sonic Inference Pods
95%
Power efficiency with custom cooling
A custom closed-loop water system combined with dry cooling holds temperature steady within 2°C under sustained load. Less energy spent on cooling, more reaching the GPUs: more inference from every watt.
Traditional data center
560B L
Of water consumed every year
Globally, data centers use over 560 billion liters of water a year, much of it lost to evaporative cooling. Loud, wasteful and increasingly unsustainable.
Sonic Inference Pods
1.5 m³
Recirculated, never consumed
A sealed, closed-loop system recirculates the same 1.5 cubic meters of water continuously. No water consumption, no wastewater, no pollution. And it runs quiet.
Traditional data center
3–5 yr
To build a traditional data center
Years of land, permits and construction. Billion-dollar projects that may never be completed, with redundancy overbuilt into every site. All of it expensive to operate, and all of it ends up in your inflated inference cost.
Sonic Inference Pods
Days
To deploy a Sonic Inference Pod
Fully modular, with an average build time of 3 weeks and new units deployable in days. No land grab, no construction: redundancy comes from a distributed network of pods rather than overbuilding each site.
Explore the Sonic Inference Pods.
A complete AI inference data center in a 20 ft shipping container. Up to 1200 density-packed GPUs, all directly liquid cooled, powered by renewables and deployed close to your users in days. Everything inside exists for one job: the fastest AI inference at ~10× lower price.
5.8 m × 6.8 m × 2.44 m
Housing a complete AI inference data center. Trucked in, plugged in, live in days.
1200+ density-packed GPUs
Densely packed GPU servers delivering 1 MW of inference compute.
A water block on every processor
CPUs and GPUs are directly liquid cooled, each with its own water block. Better thermal performance means every processor runs at full speed, all the time.
Closed loop, zero water waste
Heat leaves through a sealed loop, so the pod draws no water, wastes nothing, and stays quiet enough to sit almost anywhere.
Two ways to run on Sonic Inference Pods.
Deploy your own workloads on our infrastructure, or consume inference through our managed APIs. Either way, we handle the scaling and infrastructure at up to 10× lower cost.
From one pod to one gigawatt by 2027.
Sonic Inference Pods are production-ready, the first deployments are underway, and we are entering the rollout phase of what we believe will become one of the world's largest distributed AI inference networks.
- Today
First region live
Europe is serving traffic, with the US roll out starting now.
- H2 2026
10,000 nodes online
The first wave of inference nodes comes online across multiple regions.
- 2027
1 GW of inference
Scaling to gigawatt-class capacity as the fleet expands.
The rollout is happening now.
The world's first distributed inference pod network is coming online. You run on it through Runware Serverless, billed by the second. Capacity is filling up rapidly, secure yours now.
Reserve capacity
There are two ways to run on Sonic Inference Pods: deploy your own workloads with Serverless Compute, billed by the second, or consume models through our managed API Gateway, billed per inference. Tell us what you're building and we'll reserve the capacity for you.