Neocloud Enters Its Consolidation Era: What’s Driving It and What It Means for AI Buyers

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Over the last two years, a new class of GPU-first Neocloud providers such as CoreWeave, Lambda, Voltage Park, Crusoe, and others has moved from niche to necessary. They stand out for their cutting-edge accelerators, near bare-metal performance, faster time to capacity, and flexible terms for AI workloads including shorter commitments, lower egress fees, and container-native […]

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Benchmarking AI Workloads on Intel Xeon with AMX: Best Practices and Performance Insights

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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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Understanding Data Types in AI and HPC: Int8, FP8, FP16, BF16, BF32, FP32, TF32, FP64, and Hardware Accelerators

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In the domains of Artificial Intelligence (AI) and High-Performance Computing (HPC), the proficient management of data types such as Int8, FP8, FP16, BF16, BF32, FP32, TF32, and FP64 is essential for performance optimisation. The advancement of contemporary hardware accelerators like as NVIDIA H100, Intel Gaudi3, and AMD MI300 has markedly enhanced the processing of these […]

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Navigating the AI Deployment Dilemma: How Intel’s AMX Accelerator Eases the Journey

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Artificial Intelligence (AI) has emerged as a fundamental element of contemporary technological progress, presenting unparalleled prospects for innovation across all sectors. The possibilities of AI is extensive, ranging from improving customer interactions with chatbots to optimising supply chains with predictive analytics. Nevertheless, numerous organisations encounter difficulties while attempting to harness the power of AI. Companies […]

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