The keen competition of large-language models (LLMs) is pushing various Generative AI operators in China to find alternatives to achieve higher computing power without...
VentureBeat has identified six key issues shaping corporate AI strategies in 2024, including the plateauing of large language model (LLM) advancements and emerging alternatives...
The gap between GPU procurement expenses and derived revenues continues to widen significantly, with few AI products besides ChatGPT gaining substantial consumer popularity, according...
After two failed attempts at entering the discrete GPU market, Intel attempted another comeback in 2017 by recruiting Raja Koduri from AMD to head a development team, which led to...
Unlike other major tech companies that heavily rely on Nvidia GPUs for training and inference tasks of Large Language Models (LLM), Apple's Apple Intelligence server chips are unique...
Samsung Electronics is reportedly investing in GPUs, after discontinuing its collaboration with AMD to launch the Exynos 2500's GPU architecture, pending release in 2025.
Rugged embedded computer brand – Cincoze recently received two international awards honoring its DS-1402 high-performance and PCIe expansion rugged embedded computer. Part of...
Nvidia dominates the market for AI chips for training and deploying Large Language Models (LLMs) and its pricing power is reflected in gross margins as high as 78%, compared to competitors...
Nvidia CEO Jensen Huang surprised the audience by disclosing its next-generation platform's name "Rubin." Since Nvidia has been naming its products and platforms after famous scientists,...
