When deploying GPUs in a high-performance computing (HPC) environment, customers face substantial obstacles and inefficiencies caused by the need to port and refactor code. Their efforts are further hampered by proprietary GPU programming environments that prohibit portability between GPU vendors and often result in inconsistency between CPU and GPU implementations. The need for GPU-level memory bandwidth, at scale, and sharing code investments between CPUs and GPUs for running a majority of the workloads in a highly parallelized environment has become essential.
Intel Data Center GPU Max Series is designed for breakthrough performance in data-intensive
computing models used in AI and HPC.
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Chat with usAI models continuously require larger data sets for more effective training. The faster you can process the data, the faster you can train and deploy the model.
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