Intel Gaudi-3 Accelerators To Increase Your AI Skills

The very resource-intensive generative AI applications, as LLM training and inference, are the focus of the Gaudi AI accelerator

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Matrix Multiplication Engine: Hardware specifically designed to process tensors efficiently

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Larger model and batch sizes are made possible for better performance by the 96 GB of on-board HBM2e memory

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24 on-chip 100 GbE ports offer low latency and high bandwidth communication, making it possible to scale applications

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Intel Gaudi-3 will offer floating-point performance that is 2 times faster for FP8 and 4 times faster for BF16

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7nm Process Technology: For deep learning tasks, 7nm architecture guarantees excellent performance

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Intel Gaudi-3 is equipped with 1.5 times the memory bandwidth of its predecessor, so that speed won’t be compromised

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For more details visit Govindhtech.com

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