Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

The choice of GPU in 2026 defines not only speed but also creative freedom and productivity. Many professionals now question ...

SE: GPU acceleration is having a major impact on the design and production of masks and other process technologies. What applications is GPU acceleration best suited for? Fujimura: There are many ...

SE: There seems to be a parallel growth between the adoption of machine learning and GPUs. Is the need for machine learning driving GPU adoption, or are GPUs creating the opportunity to embrace ...

Nvidia, together with partners like IBM, HPE, Oracle, Databricks and others, is launching a new open-source platform for data science and machine learning today. Rapids, as the company is calling it, ...

In the early days of GPU-accelerated supercomputers, accelerators were installed with the mission of delivering ultra-high performance for a few select codes. This was mostly because the ecosystem of ...

What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.

Posts from this topic will be added to your daily email digest and your homepage feed. is a senior editor and author of Notepad, who has been covering all things Microsoft, PC, and tech for over 20 ...

Under the hood, Ghostty also supports modern terminal capabilities like the Kitty graphics protocol, which allows apps to ...

GPU-accelerated electromagnetic simulation is redefining how engineers design and validate antennas in complex, electrically ...

Microsoft has introduced a new interesting feature in Windows that is named Hardware-accelerated GPU Scheduling. This feature is part of the WDDM 2.7, which effectively reduces latency and increases ...