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Deploy on your own infrastructure and compute at the edge
Our custom connectivity framework handles communication between devices, ensuring efficient allocation of AI tasks across CPUs, NPUs, and GPUs.
Robust communication protocols that maintain data sync between your edge network and cloud infrastructure.
Benefit from built-in security measures and fault-tolerant design.
A fully distributed model training and inference lets your systems learn continuously—even without a constant network connection.
Python-friendly environments
Intelligent orchestration automatically distributes AI tasks across your available resources, ensuring every cycle counts
