A study outlines low-latency computing strategies for real-time hardware systems, highlighting dynamic scheduling, ...

In real-world conditions, software is defined not just by its features, but by how it behaves under pressure. Concurrency, ...

Strategic investment facilitates collaboration on next-generation AI infrastructure optimized for memory-intensive ...

As AI workloads move into production, infrastructure platforms must deliver predictable performance, deep hardware integration, and flexible execution models. OpenNebula 7.2 strengthens its ...

HBM has become one of the most successful and widely adopted examples of chiplet-based integration in AI systems.

Rambus is a leveraged AI infrastructure play, benefiting from rising memory complexity and DDR5 & HBM adoption. Click here to ...

A new chip design from UC San Diego could make data centers far more energy-efficient by rethinking how power is converted ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Embedded intelligence enables a system to respond to critical events before they cause failures in runtime applications.

(NASDAQ: SMCI), a Total IT Solution Provider for AI/ML, HPC, Cloud, Storage, and 5G/Edge, today announced a family of compact, high-efficiency platforms powered by AMD EPYC™ 4005 series processors.

A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.

The rise of software-defined systems is transforming the automotive industry from a manufacturing-driven business into a ...