Intel
Extension
for
Transformers
Intel
Extension
for
Transformers
There are several layers in the AI stack, and each is essential to optimizing LLMs. The hardware layer, which consists of Intel Xeon CPUs
Intel oneAPI Collective Communications Library (oneCCL) and Intel oneAPI Deep Neural Network Library
Graph optimizations reduce the amount of memory accesses needed during computation, which further enhances efficiency
Memory management is essential for maximizing LLM performance because they frequently require large amounts of memory
APIs for implementing these optimizations on CPU and GPU
based
training and inference are provided by the Intel Extension for PyTorch
Intel introduced Neural Speed, a dedicated library that simplifies LLM inference on Intel systems
Intel Extension for Transformers
and PyTorch offers an adaptable framework for optimizing deep learning models other than LLMs
Intel Tiber Developer Cloud getting started samples for PyTorch and Transformers show these optimisations
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