Artificial Intelligence (AI) continues to revolutionize industries, imposing significant changes in technology and hardware needs; as AI models become more sophisticated, the demand for specialized processing units increases, prompting a shift from traditional CPUs to GPUs and NPUs. This article
In a move poised to dramatically transform the landscape of artificial intelligence computing, Vultr has announced early access to NVIDIA’s HGX B200, a development set to elevate AI computing capabilities to unprecedented levels. Combining Vultr’s expansive cloud infrastructure with NVIDIA’s cutti
AI inference systems are on the brink of a major transformation with the development of WaferLLM, a breakthrough in wafer-scale computing introduced by researchers from the University of Edinburgh and Microsoft. By integrating hundreds of thousands of cores onto a single chip, WaferLLM promises to
The rapid progress of artificial intelligence (AI) is accompanied by soaring energy consumption, posing significant challenges for sustainability. Addressing this issue, researchers in Japan have pioneered a spintronic device that promises to transform AI hardware by significantly reducing power
AMD has announced its latest breakthrough in processing technology with the release of the Ryzen AI Max chips, also known by their codename "Strix Halo." This new series sets a high bar for performance in gaming, content creation, and AI applications, earning the prestigious Best-in-Show
Marvell Technology, a leader in data infrastructure semiconductor solutions, has made a groundbreaking announcement in the field of custom AI accelerators. Marvell has introduced an advanced co-packaged optics (CPO) architecture as part of its custom XPU architecture. This innovation builds on
