News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
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Nvidia is promoting its new Vera Rubin chip system, which combines CPUs and GPUs into a single platform. The company is positioning itself as a supplier of complete AI systems, not just GPUs. New benchmarks show significant performance and efficiency gains, with early customer OpenAI already using a rack.
As artificial intelligence pushes semiconductors and data centers to new physical limits, advances in materials science are becoming essential to sustaining the pace of innovation. This article explores how advanced materials enable greater performance, reliability, and efficiency in AI hardware, and how companies like Syensqo are developing new materials and using AI tools to accelerate discovery.
Alphabet is developing a new server chip internally called Frozen v2, expected in 2028, to make its Gemini AI models up to 10 times more efficient than current Google AI chips. The chip aims to address AI computing shortages and reduce reliance on Nvidia, boosting investor confidence ahead of earnings.
Amazon has disclosed that its global data center operations used 2.5 billion gallons of water in 2025, marking the first time the company has released such figures. The report comes shortly after Seattle enacted a one-year moratorium on data center construction, which some Amazon employees had pushed for. Amazon claims its water efficiency improved by 2% compared to 2024, and that its data centers are seven times more efficient than the industry average.
Phoronix benchmark results show NVIDIA's Vera CPU, powered by custom Olympus cores, delivers strong performance in agentic AI workloads. The 88-core processor achieved up to 1.5x overall performance advantage over a latest-generation 128-core x86 chip, with 1.2TB/s memory bandwidth and 90% sustained peak bandwidth. Vera compiled a Linux kernel in 20 seconds and showed a 1.6x geometric mean increase over the Grace CPU. Memory efficiency is notable with under 30W memory power versus over 100W for DDR5.
Chinese AI company DeepSeek launched a preview of its V4 model, featuring longer prompt handling and open-source access. The model offers strong performance at low costs, a 1 million token context window, and optimization for Chinese chips like Huawei's Ascend. It builds on R1's success while addressing efficiency and hardware independence.