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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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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Artificial Intelligence (AI) is undergoing a rapid transformation, driven by advancements in hardware and software. Today, AI relies heavily on high-performance computing (HPC), GPUs, TPUs, ASICs, and optimised software frameworks. However, as AI models become more complex, the limits of current technology become apparent. This raises an important question: will the AI infrastructure we rely […]

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Introduction Artificial Intelligence (AI) workloads increasingly depend on robust computational resources, and Intel Xeon processors present an attractive solution for both training and inference. The introduction of Advanced Matrix Extensions (AMX) in Intel Xeon has significantly enhanced AI acceleration, especially for deep learning, natural language processing, and high-performance computing applications. Accurate benchmarking of these workloads […]

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