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Technical Whitepaper – Accelerate AI with VMware and Intel

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Generative AI Inferencing Use Cases with Cisco UCS X-Series M7 Blade Servers Using 5th Gen Intel Xeon Scalable Processors

Generative AI is transforming industries with applications like text-to-image generation and realistic voice synthesis. However, maximizing these models' potential requires robust infrastructure.

This white paper examines how the Cisco UCS X-Series Modular System, powered by 5th Gen Intel Xeon Scalable processors, offers an optimal platform for Generative AI inferencing. Additionally, it covers:

  • Challenges of Generative AI workloads: high computational demands, memory bandwidth needs, and low-latency requirements
  • How Cisco UCS X-Series and 5th Gen Intel Xeon processors provide a balanced, scalable, high-performance architecture
  • And more

Read the white paper to discover more.

These are also closely related to: "Technical Whitepaper – Accelerate AI with VMware and Intel"

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    Generative AI is transforming industries with applications like text-to-image generation, realistic voice synthesis, and novel material creation. Unlocking these models' full potential requires robust infrastructure.

    This white paper explores how Cisco UCS servers with 5th and 4th Gen Intel® Xeon® Scalable processors deliver exceptional performance for generative AI workloads. It highlights major benefits including faster inference speeds and lower latency, increased model throughput for large-scale workloads, and more.

    Access this white paper to learn how Cisco UCS and Intel Xeon processors can help enable your organization to harness generative AI.

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    It provides a reference architecture for optimizing AI workloads like machine learning training and inference. Key points include leveraging Intel Deep Learning Boost for faster training times and Intel Optane Persistent Memory for larger model sizes.

    To learn more about accelerating your AI initiatives with Intel and Red Hat, read the full technical overview.

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