<b>DeepSpeed trained the world's most powerful language models ([MT-530B](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/), [BLOOM](https://huggingface.co/blog/bloom-megatron-deepspeed)); [learn how](https://www.deepspeed.ai/tutorials/large-models-w-deepspeed/).</b>
<b><spanstyle="color:orange"> DeepSpeed empowers ChatGPT-like model training with a single click, offering 15x speedup over SOTA RLHF systems with unprecedented cost reduction at all scales; [learn how](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat)</span>.</b>
****[2023/04] 🚀 [DeepSpeed Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat)*** 🚀
*[2023/03] [Scaling Large-Scale Generative Mixture-of-Expert Multimodal Model With VL-MoE](https://www.deepspeed.ai/2023/03/30/multi-modal.html)
*[2023/03] [Scaling Large-Scale Generative Mixture-of-Expert Multimodal Model With VL-MoE](https://www.deepspeed.ai/2023/03/30/multi-modal.html)
*[2023/02] [Automatic Tensor Parallelism: Enables tensor parallelism by default without an injection policy](https://www.deepspeed.ai/tutorials/automatic-tensor-parallelism/)
*[2023/02] [Automatic Tensor Parallelism: Enables tensor parallelism by default without an injection policy](https://www.deepspeed.ai/tutorials/automatic-tensor-parallelism/)
*[2022/12] [DeepSpeed Data Efficiency: A composable library that makes better use of data, increases training efficiency, and improves model quality](https://www.deepspeed.ai/2022/12/11/data-efficiency.html)
*[2022/12] [DeepSpeed Data Efficiency: A composable library that makes better use of data, increases training efficiency, and improves model quality](https://www.deepspeed.ai/2022/12/11/data-efficiency.html)
...
@@ -24,7 +25,7 @@
...
@@ -24,7 +25,7 @@
# Extreme Speed and Scale for DL Training and Inference
# Extreme Speed and Scale for DL Training and Inference
[DeepSpeed](https://www.deepspeed.ai/) is an easy-to-use deep learning optimization software suite that enables unprecedented scale and speed for Deep Learning Training and Inference. With DeepSpeed you can:
***[DeepSpeed](https://www.deepspeed.ai/) enables world's most powerful language models like [MT-530B](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/) and [BLOOM](https://huggingface.co/blog/bloom-megatron-deepspeed)***. It is an easy-to-use deep learning optimization software suite that powers unprecedented scale and speed for both training and inference. With DeepSpeed you can:
* Train/Inference dense or sparse models with billions or trillions of parameters
* Train/Inference dense or sparse models with billions or trillions of parameters
* Achieve excellent system throughput and efficiently scale to thousands of GPUs
* Achieve excellent system throughput and efficiently scale to thousands of GPUs
<b>DeepSpeed trained the world's most powerful language models ([MT-530B](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/), [BLOOM](https://huggingface.co/blog/bloom-megatron-deepspeed)); [learn how](https://www.deepspeed.ai/tutorials/large-models-w-deepspeed/).</b>
<b><spanstyle="color:orange"> DeepSpeed empowers ChatGPT-like model training with a single click, offering 15x speedup over SOTA RLHF systems with unprecedented cost reduction at all scales; [learn how](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat)</span>.</b>
*[2023/04] 🚀 [DeepSpeed Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat) 🚀
*[2023/03] [Scaling Large-Scale Generative Mixture-of-Expert Multimodal Model With VL-MoE](https://www.deepspeed.ai/2023/03/30/multi-modal.html)
*[2023/03] [Scaling Large-Scale Generative Mixture-of-Expert Multimodal Model With VL-MoE](https://www.deepspeed.ai/2023/03/30/multi-modal.html)
*[2023/02] [Automatic Tensor Parallelism: Enables tensor parallelism by default without an injection policy](https://www.deepspeed.ai/tutorials/automatic-tensor-parallelism/)
*[2023/02] [Automatic Tensor Parallelism: Enables tensor parallelism by default without an injection policy](https://www.deepspeed.ai/tutorials/automatic-tensor-parallelism/)
*[2022/12] [DeepSpeed Data Efficiency: A composable library that makes better use of data, increases training efficiency, and improves model quality](https://www.deepspeed.ai/2022/12/11/data-efficiency.html)
*[2022/12] [DeepSpeed Data Efficiency: A composable library that makes better use of data, increases training efficiency, and improves model quality](https://www.deepspeed.ai/2022/12/11/data-efficiency.html)
...
@@ -18,7 +19,7 @@ title: "Latest News"
...
@@ -18,7 +19,7 @@ title: "Latest News"
# Extreme Speed and Scale for DL Training and Inference
# 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 Deep Learning Training and Inference. With DeepSpeed you can:
***[DeepSpeed](https://www.deepspeed.ai/) enables world's most powerful language models like [MT-530B](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/) and [BLOOM](https://huggingface.co/blog/bloom-megatron-deepspeed)***. It is an easy-to-use deep learning optimization software suite that powers unprecedented scale and speed for both training and inference. With DeepSpeed you can:
* Train/Inference dense or sparse models with billions or trillions of parameters
* Train/Inference dense or sparse models with billions or trillions of parameters
* Achieve excellent system throughput and efficiently scale to thousands of GPUs
* Achieve excellent system throughput and efficiently scale to thousands of GPUs