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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.

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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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VAST Data allies with Nvidia on reference storage architecture for AI

Venture Beast

VAST Data collaborates with Nvidia to create reference architecture for attaching its storage systems to GPU servers. Read More.

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Accelerating generative AI requires the right storage

CIO Business Intelligence

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

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From edge to cloud: The critical role of hardware in AI applications

CIO Business Intelligence

All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. Hardware innovations become imperative to sustain this revolution. So what does it take on the hardware side? For us, the AI hardware needs are in the continuum of what we do every day.

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You can easily virtualize your physical storage

Dataconomy

With server virtualization, you can easily create, move, and delete virtual servers as needed, without the need for expensive hardware upgrades or complex reconfigurations. One of the key benefits of server virtualization is that it allows for more efficient use of hardware resources.

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DDN raises the bar as data intensive analytics push storage systems

CTOvision

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

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