云端和戴尔联合起来让企业在戴尔存储器上运行人工智能, 降低成本并提高安全性. Cloudera and Dell unite to let enterprises run AI on Dell storage, cutting costs and boosting security.

Cloudera已经将Dell ObjectsClubation(Dell ObjectsCulture)纳入其平台,创建了统一的私人AI解决方案,使企业能够直接在Dell的存储上运行AI工作量,从而能够安全、有管理地获取数据,而不论地点。 Cloudera has integrated Dell ObjectScale into its platform, creating a unified Private AI solution that allows enterprises to run AI workloads directly on Dell’s storage, enabling secure, governed access to data regardless of location. 这项合作旨在通过将人工智能与数据更接近,减少复杂性,降低成本,并消除数据流动. The collaboration, announced at EVOLVE25 in New York, aims to reduce complexity, lower costs, and eliminate data movement by bringing AI closer to data. Cloudera的首席战略官Abhas Ricky(Abhas Ricky)指出,尽管在将AI与遗留系统和工作流程相结合方面存在挑战,但一个主要的石油和天然气客户在一年中通过有针对性地使用AI节省了10亿美元。 Cloudera’s Chief Strategy Officer Abhas Ricky highlighted growing enterprise success with generative AI, citing a major oil and gas client that saved $1 billion in a year through targeted AI use, despite challenges in integrating AI with legacy systems and workflows. 他强调,现实世界的结果表明,生产力的提高和成本的节约是可衡量的,从试点项目向生产部署的转移越来越多,跨越了混合环境和多层次环境。 He emphasized that real-world results show measurable productivity gains and cost savings, with increasing movement from pilot projects to production deployments across hybrid and multi-cloud environments. 云台平台包括AI Studio等工具,支持开放标准,如Apache Iceberg(Apache Iceberg),侧重于治理、数据线和互操作性,特别是金融等受监管行业的治理、数据线和互操作性,前十大全球银行中有八家使用其平台。 Cloudera’s platform, which includes tools like AI Studio and supports open standards like Apache Iceberg, focuses on governance, data lineage, and interoperability, especially for regulated industries like banking, where eight of the top ten global banks use its platform. 公司本身是一个连接层,将数据和AI统一起来,而无需对基础设施进行大修,目的是在企业AI业务中提供清晰度、信任度和绩效。 The company positions itself as a connective layer that unifies data and AI without requiring infrastructure overhauls, aiming to deliver clarity, trust, and performance in enterprise AI operations.