High-performance computing, server architecture, and enterprise data center technologies.
In-depth technical articles and analysis
OpenMP Technical Report 15 previews version 6.1 with multidimensional execution spaces, stronger data-locality controls, loop transformations, and affinity updates. For HPC and enterprise infrastructure teams, the draft is less about syntax and more about making heterogeneous accelerator code easier to tune without abandoning portability.
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AWS and NVIDIA's latest infrastructure expansion is not only a GPU capacity story. It signals a broader server design shift: production AI clusters now need host-independent infrastructure processors for isolation, storage access, security enforcement, telemetry, and data movement at rack scale.
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For decades, computational performance discussions centered on processor speed. Moore's Law shaped planning cycles, and gigahertz ratings dominated procurement decisions.
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High-performance computing infrastructure has reached an inflection point. Traditional HPC clusters, designed primarily for physics simulations, computational fluid dynamics, and mathematical modeling, now must accommodate machine learning training, AI inference, and hybrid workflows that combine...
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High-performance computing (HPC) servers have undergone fundamental architectural changes as workloads increasingly blur the lines between traditional scientific computing, AI training, and data analytics.
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A comprehensive explainer covering Inside the AI Infrastructure Boom: GPUs, Power, Cooling, and the New Bottlenecks for infrastructure professionals.
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While artificial intelligence dominates technology headlines and cloud computing has transformed enterprise infrastructure, high-performance computing (HPC) continues to serve as the computational backbone for the world's most demanding workloads.
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Enterprise patterns for building resilient, highly available data center infrastructure.
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Compare networking options for multi-GPU training clusters and understand the tradeoffs.
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