Edge Autonomy
Autonomous systems cannot wait on the cloud. Robotics control loops, factory automation, and sensor intelligence demand decisions in milliseconds, on-site, and often offline. The OPU brings agentic AI directly to machines, sensors, and the physical world.
AI at machine speed
Tsavorite delivers deterministic, low-latency inference where decisions happen, solutions start from 25W to enable on-device AI for the most challenging use cases
Real-time control loops
Local inference with deterministic latency keeps robots, lines, and vehicles responsive, with no cloud round-trip in the loop.
Sensor and camera intelligence
Run multimodal perception models next to cameras and sensors, cutting bandwidth and keeping raw data on-site.
Autonomous by default
Systems keep operating through network loss, with privacy and data sovereignty built in for regulated environments.
Edge performance, machine-room footprint
1000
TOPS in a 70W system
100 t/s
Running 100B models
Zero
cloud round-trips
Autonomy at every scale
The same OPU architecture spans a palm-sized appliance on a machine, a workstation on a factory floor, and rack-scale infrastructure in a metro network. Models and agents move across these tiers unchanged, so intelligence deploys wherever the decision happens.
Local-first inference
Run multimodal perception, on-device agents, and even fine-tuning locally. Latency is deterministic because there is no network in the loop, operation continues offline, and sensitive video, sensor, and process data never leaves the site.
Scales from device to infrastructure
When workloads outgrow a single device, the same models and software move to larger systems, linked by the MultiPlexus fabric into one coherent compute domain. TAOS manages the whole fleet, and its agentic optimizer applies fleet-level learning, so improvements discovered on one system benefit every deployment.
Related insights
Our architecture provides unmatched computational efficiency, allowing intricate AI models to operate with low latency and high throughput.
Beyond GPUs: why we built Tsavorite
Our view is that AI has outgrown the way the industry builds computers for it. Adding more of the same hardware is no longer the answer. AI needs an architecture designed for it from the start, one that becomes more efficient as it grows rather than less.
Tsavorite Scalable Intelligence Sets New Frontier for AI Efficiency and Scale with the Omni Processing Unit
Put AI where decisions happen
See how the OPU powers real-time autonomy from a single machine to a fleet. Talk to us about pilots and evaluation systems.
Talk to our team
