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Nvidia releases reference architectures for AI factories

Network World

The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented data centers. A reference architecture provides the full-stack hardware and software recommendations. However, there is another advantage, and that has to do with scale.

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Supermicro unveils AI-optimized storage powered by Nvidia

Network World

Supermicro announced the launch of a new storage system optimized for AI workloads using multiple Nvidia BlueField-3 data processing units (DPU) combined with an all-flash array. These units support 400Gb Ethernet or InfiniBand networking and provide hardware acceleration for demanding storage and networking workloads.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud storage.

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Top data storage certifications to sharpen your skills

Network World

Enterprise data storage skills are in demand, and that means storage certifications can be more valuable to organizations looking for people with those qualifications. No longer are storage skills a niche specialty, Smith says. Both vendor-specific and general storage certifications are valuable, Smith says.

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Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. Another challenge here stems from the existing architecture within these organizations.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

The data is spread out across your different storage systems, and you don’t know what is where. Maximizing GPU use is critical for cost-effective AI operations, and the ability to achieve it requires improved storage throughput for both read and write operations. How did we achieve this level of trust?

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Nvidia partners with cybersecurity vendors for real-time monitoring

Network World

BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage. Another piece of the puzzle is Nvidias Data Center Infrastructure-on-a-Chip (DOCA) architecture, a software framework designed to enable and accelerate workloads on BlueField DPUs.