Why NVIDIA AI Accelerators Perform Best with Intel Xeon CPUs vs AMD EPYC

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As AI adoption accelerates across industries, the choice of hardware becomes critical in optimising performance and efficiency. While NVIDIA AI accelerators like the H100, H200, and the recently announced B200 are leading the charge in AI workloads, their performance is not determined by the GPU alone. The CPU plays a crucial role in maximising throughput, […]

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Deploying AI Workloads in Virtualised Environments with VMware VVF, Private AI on VCF, RHEL KVM, and Nutanix

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InfrastructureTechnology

Artificial Intelligence (AI) is transforming industries, but deploying AI workloads efficiently remains a challenge. Many organisations look to virtualisation to maximise resource utilisation, improve security, and streamline AI infrastructure management. This blog explores how to deploy AI workloads in virtualised environments using VMware Virtualised vSphere for AI (VVF), Private AI on VMware Cloud Foundation (VCF), […]

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Fine-Tuning Parameters for vLLM on Gaudi3, H200, and MI300X

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The rise of large language models (LLMs) has driven significant demand for efficient inference and fine-tuning frameworks. One such framework, vLLM, is optimised for high-performance serving with PagedAttention, allowing for memory-efficient execution across diverse hardware architectures. With the introduction of new AI accelerators such as Gaudi3, H200, and MI300X, optimising fine-tuning parameters is essential to […]

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Intel Xeon 6: Transforming AI with Next-Generation AMX Enhancements

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The evolution of artificial intelligence (AI) has placed increasing demands on hardware, requiring processors that deliver high efficiency, scalability, and performance. Intel’s Xeon 6 marks a substantial leap in AI capabilities, particularly in its Advanced Matrix Extensions (AMX), which have seen major improvements over Xeon 4 and Xeon 5. These enhancements make Xeon 6 a […]

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