With DDR5 prices quadrupling as AI demand drains supply, we tested CXMT Chinese memory to see how it stacks up against premium and budget kits in gaming.

Rising Oracle Java licensing fees and the massive infrastructure requirements of AI workloads are driving the region’s businesses to migrate to OpenJDK distributions.

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...

Today, we’re announcing general availability of the new eighth generation, memory optimized Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances powered by custom Intel Xeon 6 ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...

Over the past decades, quantum physicists and engineers have developed numerous technologies that harness the principles of quantum mechanics to push the boundaries of classical information science.

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...

Abstract: Consistent checkpointing is a critical for in-memory databases (IMDBs) but its resource-intensive nature poses challenges for small- and medium-sized deployments in cloud environments, where ...