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microsoft · Jul 21, 2022 · 6330188 · 6330188
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  <img src="docs/assets/images/DeepSpeed_light.svg#gh-light-mode-only" width="400px">
  <img src="docs/assets/images/DeepSpeed_dark_transparent.svg#gh-dark-mode-only" width="400px">
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 ## Latest News
-<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) </b>
-* [2022/06/22] DeepSpeed Compression: 50x model size reduction via [XTC](https://arxiv.org/abs/2206.01859) and 5000x compression cost reduction via [ZeroQuant](https://arxiv.org/abs/2206.01861). Stay tuned for upcoming code release!
-* [2022/03/21] [Supporting efficient large model training on AMD Instinct GPUs with DeepSpeed](https://cloudblogs.microsoft.com/opensource/2022/03/21/supporting-efficient-large-model-training-on-amd-instinct-gpus-with-deepspeed/)
-* [2022/03/07] [Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam](https://www.deepspeed.ai/tutorials/zero-one-adam/)
-* [2022/01/19] [DeepSpeed: Advancing MoE inference and training to power next-generation AI scale](https://www.microsoft.com/en-us/research/blog/deepspeed-advancing-moe-inference-and-training-to-power-next-generation-ai-scale/)
-    * [Mixture of Experts (MoE) for NLG tutorial](https://www.deepspeed.ai/tutorials/mixture-of-experts-nlg/).
-    * [Mixture of Experts (MoE) Inference tutorial](https://www.deepspeed.ai/tutorials/moe-inference-tutorial).
-* [2021/11/15] [Autotuning: Automatically discover the optimal DeepSpeed configuration that delivers good training speed](https://www.deepspeed.ai/news/2021/11/15/autotuning.html)
-* [2021/10/11] [Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model](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/)
-  * Read more on how to [train large models with DeepSpeed](https://www.deepspeed.ai/tutorials/large-models-w-deepspeed/)
+<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 to [train these large models](https://www.deepspeed.ai/tutorials/large-models-w-deepspeed/).</b>
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+* [2022/07] [DeepSpeed Compression: A composable library for extreme compression and zero-cost quantization](https://www.microsoft.com/en-us/research/blog/deepspeed-compression-a-composable-library-for-extreme-compression-and-zero-cost-quantization/)
+* [2022/03] [Supporting efficient large model training on AMD Instinct GPUs with DeepSpeed](https://cloudblogs.microsoft.com/opensource/2022/03/21/supporting-efficient-large-model-training-on-amd-instinct-gpus-with-deepspeed/)
+* [2022/03] [Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam](https://www.deepspeed.ai/tutorials/zero-one-adam/)
+* [2022/01] [DeepSpeed: Advancing MoE inference and training to power next-generation AI scale](https://www.microsoft.com/en-us/research/blog/deepspeed-advancing-moe-inference-and-training-to-power-next-generation-ai-scale/)
+* [2021/11] [Autotuning: Automatically discover the optimal DeepSpeed configuration that delivers good training speed](https://www.deepspeed.ai/news/2021/11/15/autotuning.html)
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 # Extreme Speed and Scale for DL Training and Inference
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 # Features
 
 Please checkout [DeepSpeed-Training](https://www.deepspeed.ai/docs/training), [DeepSpeed-Inference](https://www.deepspeed.ai/docs/inference) and [DeepSpeed-Compression](https://www.deepspeed.ai/docs/compression) pages for full set of features offered along each of these three pillars.
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 # Further Reading
 
 All DeepSpeed documentation, tutorials, and blogs can be found on our website: [deepspeed.ai](https://www.deepspeed.ai/)
 
 
 |                                                                                                | Description                                  |
 | ---------------------------------------------------------------------------------------------- | -------------------------------------------- |
-| [DeepSpeed Features](https://www.deepspeed.ai/features/)                                       |  DeepSpeed features                          |
 | [Getting Started](https://www.deepspeed.ai/getting-started/)                                   |  First steps with DeepSpeed                  |
 | [DeepSpeed JSON Configuration](https://www.deepspeed.ai/docs/config-json/)                     |  Configuring DeepSpeed                       |
 | [API Documentation](https://deepspeed.readthedocs.io/en/latest/)                               |  Generated DeepSpeed API documentation       |