DeepSpeed
Extreme Speed and Scale for DL Training and Inference
DeepSpeed is an easy-to-use deep learning optimization software suite that enables unprecedented scale and speed for DL Training and Inference. Visit us at deepspeed.ai (opens in new tab) or our Github repo (opens in new tab).
 | Reshape Large Model Training Landscape |
| DeepSpeed offers a confluence of system innovations, that has made large scale DL training effective, and efficient, greatly improved ease of use, and redefined the DL training landscape in terms of scale that is possible. These innovations such as ZeRO, 3D-Parallelism, DeepSpeed-MoE, ZeRO-Infinity, etc. fall under the DeepSpeed-Training pillar. Learn more >> (opens in new tab) |
 | Optimize Large Model Inference |
| DeepSpeed brings together innovations in parallelism technology such as tensor, pipeline, expert and ZeRO-parallelism, and combines them with high performance custom inference kernels, communication optimizations and heterogeneous memory technologies to enable inference at an unprecedented scale, while achieving unparalleled latency, throughput and cost reduction. This systematic composition of system technologies for inference falls under the DeepSpeed-Inference. Learn more >> (opens in new tab) |
 | Speed Up Inference & Reduce Model Size |
| To further increase the inference efficiency, DeepSpeed offers easy-to-use and flexible-to-compose compression techniques for researchers and practitioners to compress their models while delivering faster speed, smaller model size, and significantly reduced compression cost. Moreover, SoTA innovations on compression like ZeroQuant and XTC are included under the DeepSpeed-Compression pillar. Learn more >> (opens in new tab) |