PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

If your “microservices” still deploy like a monolith, maybe it’s time to break free with a truly composable AWS architecture.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Client/Server distribution and the nature of the client (end user device) itself are important factors in understanding distributed architecture. If the client just features a UI, the server is doing ...

Iri Trashanski, Chief Strategy Officer at Ceva, is shaping the future of the Smart Edge with extensive experience across tech sectors. AI inference is happening across a network of local ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

Conventional computer numerical controllers used for machine tools are not amenable to the adaptation to dynamic changes in operations and environments due to the proprietary closed architecture. This ...