如果您希望可以时常见面，欢迎标星收藏哦~ 来 源 ：内容 编译自 CRN 。 "所有这些合作伙伴都选择与我们合作，也带来了部分客户，" 他对《CRN》称，"我认为这些合作 伙伴手中的客户数量远多于我们目前已获取的规模。显然，合作伙伴在我们争取这些客户的过程中 发挥了关键影响力。不过，合作伙伴无法在一夜之间将所有客户都转移过来，毕竟客户迁移需要时 间。尽管如此，如今合作伙伴与我们的合作力度已远超以往。" 拉马斯瓦米表示，总部位于美国加利福尼亚州圣何塞的 Nutanix，正处于从 VMware 手中夺取市 场份额的 "第二局"—— 在他看来，这一市场机遇将持续 5 至 10 年。今年新增 2700 家客户后， Nutanix 的客户总量已达 2.9 万家，其中包含 50 多家《全球 2000 强》（指按营收排名的全球大 型企业榜单）企业客户。 该公司预计，在未来整个财年内，新增客户数量将保持中高个位数的增长速度。 "过去一年新增 2700 家客户，这一数据充分表明市场正朝着我们的方向转移，" 他在财报电话会 议上对分析师表示，"但 VMware 目前仍有 20 万家客户，因此我们还有大量市场空间需要开拓， 这也需 ...

企业级 AI 应用在落地过程中，对 IT 基础架构的性能、资源利用率、容器环境支持、多样化数据存储能 力等方面有较高的要求： l 灵活的计算与存储资源调度：在进行 AI 应用开发时，不同开发组对 GPU 资源的需求量不同，一些开 发任务也不会完全占用一块 GPU 卡的资源；在使用 AI 应用时，不同应用对 GPU 和存储的资源需求也 不尽相同，且需求量可能变化频繁。这些都要求 IT 基础设施能够灵活切分、调度计算与存储资源，同 时支持高性能 CPU 与 GPU 算力，在提升资源利用率的同时满足不同应用/开发任务的资源需求。 l 高性能、低时延的存储支持：对行业大模型进行微调时使用的 GPU 规模较大，要求存储能够为 GPU 并行计算提供高性能、低时延的数据支持。AI 应用的全流程也要面对多个数据源的大量数据读取/写 入：源数据通过预处理，可参与到大模型的微调和推理过程，并对推理形成的文本/语音/视频数据进行 保存和输出。这些工作都要求存储具备高速写入与读取能力。 l 多样化的数据存储支持：上述 AI 应用相关的工作流程中，需要同时处理结构化数据（如数据库）、 半结构化数据（如日志）和非结构化数据（如图像和文本 ...

Core Viewpoint - The article emphasizes the launch of a new integrated teaching and research training platform by Moer Elite and Deepin Technology, aimed at addressing the challenges faced by educational and research institutions in the digital transformation era [1][2]. Group 1: Industry Pain Points - The education and research sectors are experiencing significant challenges due to outdated information infrastructure, including hardware silos, insufficient computing power, complex storage systems, and a lack of practical training applications [3][4]. - Hardware silos lead to high operational costs and complexity due to the deployment of servers, storage, and networks from different vendors [3]. - Traditional servers are unable to meet the high computing demands of big data and AI, resulting in inadequate performance for concurrent and multi-tasking needs [3]. - The growth of data has made traditional storage systems difficult to scale, leading to increased management costs [3]. - There is a lack of accompanying research training software, which hampers the ability to provide a comprehensive teaching and practical environment for students and researchers [3]. Group 2: Integrated Platform Features - The new integrated platform combines high-performance computing, elastic storage, and training software to provide a "turnkey" solution for educational and research institutions [3][4]. - Deepin Technology's Hyper-Converged Infrastructure (HCI) consolidates servers, storage, and networks into a unified resource pool, offering lower costs, higher resource utilization, and greater reliability compared to traditional systems [6][7][8][9][10]. - The platform allows for easy deployment and management, enabling educators and researchers to focus on teaching and research rather than hardware maintenance [11]. Group 3: Software Integration - Moer Elite's research training software is designed to work seamlessly with Deepin Technology's hardware, enhancing the platform's capabilities and fostering academic innovation [18]. - The software provides comprehensive training content and resources for various disciplines, including chip design and AI, and supports customized tools for research institutions [19][20]. Group 4: Advantages of the Integrated Machine - The integrated machine offers convenient deployment, flexible expansion, simplified management, high cost-effectiveness, and robust security features [21][22][23][24][25]. - It supports a wide range of educational and research scenarios, from small-scale projects to large-scale simulations, ensuring that institutions can adapt to varying data and computing needs [26][29]. Group 5: Future Outlook - The integrated teaching and research training platform is positioned to significantly reduce deployment and operational costs while enhancing the quality of education and research [31][32].