DeepSpeed provides a seamless inference mode for compatible transformer based models trained using DeepSpeed, Megatron, and HuggingFace. Initializing for Inference · Loading Checkpoints

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - microsoft/DeepSpeed.

The DeepSpeedInferenceConfig is used to control all aspects of initializing the InferenceEngine . The config should be passed as a dictionary to ...

30 июн. 2022 г. · DeepSpeed Inference consists of (1) a multi-GPU inference solution to minimize latency while maximizing the throughput of both dense and sparse ...

The DeepSpeed huggingface inference examples are organized into their corresponding ML task directories (eg ./text-generation). Each ML task directory contains ...

LLMs challenge efficient inference, but DeepSpeed offers high-performance, multi-GPU inferencing using 4th generation Intel Xeon Scalable processors.

18 нояб. 2022 г. · DeepSpeed-Inference reduces latency by 6.4× and increases throughput by 1.5× over the state-of-the-art. It enables trillion parameter scale ...

The purpose of this document is to guide Data Scientists to run inference on pre-trained PyTorch models using DeepSpeed with Intel® Gaudi® AI accelerator.

DeepSpeed-Inference reduces latency by 6.4× and increases throughput by 1.5 ×over the state-of-the-art. It enables trillion parameter scale inference under real ...