国芯网[原:中国半导体论坛] 振兴国产半导体产业！ 不拘中国、 放眼世界 ！ 关注 世界半导体论坛 ↓ ↓ ↓ 9月19日消息，英特尔近日宣布接受英伟达高达50亿美元的投资，并将双方合作推向新高度——Intel计划在其自家的x86处理器内集成NVIDIA的RTX GPU，这一产品将被命名为"Intel x86 RTX SOC"。 这一合作消息引发业界广泛关注，特别是关于Intel是否会因此放弃或减少对自家GPU产品线投入的疑问成为焦点。 面对市场对锐炫核显和独显未来的担忧，Intel发言人虽然给出了一份简短且模糊的声明，表示"此时此刻，我们不会讨论任何特定的产品路线图，但是此 次合作是对Intel路线图的一个补充，Intel会继续提供GPU产品"，但至少可以确定的是，Intel短期内不会完全放弃锐炫显卡产品线。 从技术角度看，Intel下代Xe3乃至Xe4架构的研发工作早已启动，这些投入巨大的项目不可能轻易中止。另一方面，尽管Intel与NVIDIA的合作已有一年时 间，但首款基于双方合作技术的产品预计至少需要三四年才能推向市场，这意味着在此期间Intel仍需依赖现有的锐炫GPU产品来满足市场需求。 然而，长 ...

Core Viewpoint - The article discusses the rising trend of using Intel's Arc graphics cards in large model all-in-one machines, highlighting their cost-effectiveness compared to traditional NVIDIA cards, making them suitable for small to medium-sized teams [2][8][12]. Group 1: Performance Comparison - A comparison test conducted by Feizhi Cloud showed that an all-in-one machine equipped with four Intel Arc A770 graphics cards took approximately 50 minutes to complete a large task, while a machine with NVIDIA cards took about 30 minutes [6]. - The cost of four Intel Arc graphics cards is significantly lower than that of a single NVIDIA card, making the Intel option more appealing in terms of price-performance ratio [7][8]. Group 2: Market Adoption - The article notes that many companies are increasingly adopting Intel's combination of Arc graphics cards and Xeon W processors for their all-in-one systems, indicating a shift in the industry towards this more affordable solution [23][33]. - Companies like Chaoyun and Yunjian are developing various devices based on Intel's platform, including workstations and high-end all-in-one machines capable of running large models [28][32]. Group 3: Advantages of All-in-One Machines - All-in-one machines offer quick deployment and ease of use, allowing businesses to integrate large models into their operations without complex setup [36]. - The low startup costs associated with all-in-one machines enable companies to run large models initially and iterate over time, reducing financial risk [37]. - These machines simplify operations and maintenance by integrating hardware and software into a unified system, thus lowering management complexity and costs [40]. Group 4: Reliability and Flexibility - The all-in-one systems are designed for stability and reliability, ensuring consistent performance in complex environments, which is crucial for AI applications [41]. - Intel's GPU and CPU combination is adaptable to various applications, supporting a range of open-source models and providing diverse functionality for different business needs [43][44]. Group 5: Industry Impact - The article suggests that the trend of integrating AI models into various industries is akin to the evolution from mainframe computers to personal computers, with Intel aiming to replicate its past success in the AI domain [45][46].