DeepSpeed is a cutting-edge deep learning optimization software suite designed to empower the training and inference of ChatGPT-like models with unprecedented speed and efficiency. With a single click, DeepSpeed offers a 15x speedup over state-of-the-art Reinforcement Learning from Human Feedback (RLHF) systems, significantly reducing costs at all scales. This innovative platform supports training and inference of dense or sparse models with billions or trillions of parameters, achieving excellent system throughput and scaling efficiently to thousands of GPUs. DeepSpeed's four innovation pillars—Training, Inference, Compression, and DeepSpeed4Science—ensure extreme speed and scale for deep learning training and inference, making it a top choice for researchers and practitioners. Key features include Universal Checkpointing, DeepNVMe for I/O optimizations, and support for multiple languages, enhancing usability and accessibility. DeepSpeed is integral to Microsoft's AI at Scale initiative, enabling next-generation AI capabilities and supporting large-scale models like MT-530B and BLOOM. It is widely adopted and integrated with popular open-source deep learning frameworks, offering a seamless and powerful solution for advanced AI applications.