Energy-starved AI workloads are driving companies to space, but analysts say the technology remains years from general ...

Engineered for the AI era, MIMO delivers breakthrough metrics: 400 GB/s bandwidth, 54 million IOPS, and 40–90 μs latency—all within a form factor comparable to a large suitcase. MIMO serves as both a ...

This AI-native storage solution allows researchers to build powerful AI computing clusters using desktop-scale infrastructure.

The 2.2 MW initial capacity, with expansion potential to 4.3 MW, provides AlphaTON with the power infrastructure to deploy thousands of enterprise-grade GPUs across multiple computing clusters. This ...

The evolution of software architecture is contributing to increasing energy consumption.

This change is characterized by the convergence of high-performance computing (HPC) and AI workloads, which is driving ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer ...

Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here ...

Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...

A thriving quantum ecosystem requires shared, open testbeds where hardware, software, and control methods can be prototyped, validated, and benchmarked. VIDYAQAR fills this critical gap. The platform ...