Performance and Efficiency at Every Scale
Scaling AI with the Intel Gaudi 3 AI Accelerator in GIGABYTE Servers
Intel Gaudi 3 AI Accelerator Specifications
Applications
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HPC
Complex problem-solving in HPC applications use numerical methods, simulations, and computations to achieve significant insights. While traditionally less dependent on GPUs, the overwhelming parallel computing power of GPGPUs has greatly accelerated the development of HPC in recent years, making hybrid configurations a growing trend in modern supercomputers.
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AI
With the rapid adoption of AI, from general applications to the fast-evolving deep learning, GPGPUs have become a game changer for the industry. The parallel processing capabilities of GPGPUs allow for the handling of massive datasets and complex algorithms, which are essential for training and deploying AI models. As a result, AI has become the key to making modern systems faster and “smarter” in the most efficient way.
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Data Analytics
In data-intensive applications such as big data and computational simulations, systems rely heaving on GPGPUs for high parallel processing, low latency, and high bandwidth to facilitate data mining and large-scale data processing. The ability of GPGPUs to handle vast amounts of data simultaneously not only accelerates the processing of massive datasets but also enables more accurate and timely insights, driving informed decision-making in fields like finance, healthcare, and scientific research.
Resources
