As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...

MPI (Message Passing Interface) is the de facto standard distributed communications framework for scientific and commercial parallel distributed computing. The Intel MPI implementation is a core ...

An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time ...

Tel Aviv’s Run.AI, a startup that is building a new virtualization and acceleration platform for deep learning, is coming out of stealth today. As a part of this announcement, the company also ...

Climate volatility and rising energy demand have resulted in unprecedented challenges throughout the world. Unfortunately, however, the existing centralized grid infrastructure is no longer capable of ...