Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

As AI-driven demand pushes flash prices up more than 300%, the V160 lets storage teams run all-flash, hybrid, or any ...

In the discipline of electrical engineering, particularly within high-voltage power systems and modern energy networks, there is one principle that remains constant: no system can operate efficiently ...

A study outlines low-latency computing strategies for real-time hardware systems, highlighting dynamic scheduling, higher-bandwidth data transmission, advanced cache management, and hardware-software ...

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

At Google Cloud Next, Google announced its eighth-generation Tensor Processing Units (TPUs), introducing two purpose-built architectures: TPU 8t and TPU 8i. These chips are designed to support ...

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

Virtana today announced AI Factory Observability for Nutanix Agentic AI environments, extending system-aware observability across Nutanix Cloud Infrastructure and Nutanix Enterprise AI. As enterprises ...

To meet the quality compliance requirements of Tier-1 global clients such as Apple and Tesla, relevant data must be retained for periods ranging from 6 months to 15 years to ensure end-to-end ...

LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems ...

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