NVIDIA Networking’s Post

How can Intel reasonably not expect further market share declines when Nvidia has 90 to 95% market share. They won't be coupling Xeon6 CPU with their GPU? Broadcom will continue to be the network chip, but as far as CPU's for AI servers they use the superior Grace CPU. Investor's should expect Intel to show a loss in Q4 2024 and beyond. Expect to see the stock trading below $24/share by years end. We continue to advise investors to deploy capital to Nvidia from Intel. Intel will experience accelerating issues with employee retention. AMD and Nvidia employees have experienced 40x and 120x appreciation in their RSU's in the last decade vs Intel employees losing 35% this year alone. The complete software stack contained in CUDA enables very rapid deployment of AI applications further widening it's moat in AI. Expect Nvidia to work to figure out how to monetize its software IP. As models explode in complexity, accelerated computing and energy efficiency are becoming critical to meet the demands of AI. Grace™ CPU is a groundbreaking Arm® CPU with uncompromising performance and efficiency. It can be tightly coupled with a GPU to supercharge accelerated computing or deployed as a powerful, efficient standalone CPU.

NVIDIA Robotics In order to harmonize the technologies of high data throughput and huge computational power, it needs multilingual metadata to manage/process the high volumes of data assets from multilingual and cross-sector data sources, unstructured and without unified framework. Do you or any contacts of yours need our expertise/IP, a copyrighted multilingual metadata, that can do what high technology, like AI, high-end chips, supercomputers, etc., can't do NOW? Thanks. Metadata is an enabler. It's a publication, NOT a technology, It is like a treasure map, curated by human for treasure hunting. Without treasure map, NO technology can find the treasure. Similarly, without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, quantum computers, etc. https://lnkd.in/g-aJFnXR Due to its origin of weapon, AI has risks itself. European Parliament's AI Act has identified a practical list of high-risk AI applications, and EDUCATION is on the list. This Act has been approved by European Council 🇪🇺. 關於 AI 人工智能的一些事實 (Chinese version): https://lnkd.in/eeVbdcza Some fact findings about AI (English version): https://lnkd.in/gwcPNUPP