DeepSpeed-Inference introduces several features to efficiently serve transformer-based PyTorch models. It supports model parallelism (MP) to fit large models.

It is an easy-to-use deep learning optimization software suite that powers unprecedented scale and speed for both training and inference.

6 окт. 2023 г. · HF Accelerate loads model significantly faster than DeepSpeed Inference. Likely reason is DeepSpeed inference engine initialization.

16 сент. 2022 г. · DeepSpeed-Inference uses Tensor-Parallelism and efficient fused CUDA kernels to deliver a super-fast <1msec per token inference on a large batch ...

21 мар. 2023 г. · DeepSpeed wins most inference benchmarks I see. We should test their claims on neox models. EleutherAI spends a significant amount of ...

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

Benefit from Colossal-AI during model inference by processing unseen data using the trained model at higher speed and larger scale to produce accurate results.

24 мая 2021 г. · DeepSpeed multi GPU inference offers up to 6.9 times throughput improvement for large deep learning model inference.

16 авг. 2022 г. · In this session, you will learn how to optimize Hugging Face Transformers models for GPU inference using DeepSpeed-Inference.

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 inference.