Link GDS blog to site

blogs/deepspeed-gds/README.md

@@ -79,6 +79,10 @@ We measure the generation throughput of inferencing a LLAMA3-70B model on a sing
 Figure 3: Using DeepNVMe to scale LLAMA3-70B token generation performance with NVMe offloading.
 </div>
 
-# Conclusion
+# Summary
 
-In this blog post, we introduced DeepNVMe, an I/O optimization technology created to tackle the emergence of I/O operations as key bottlenecks of Deep Learning scalability. DeepNVMe enables fast and efficient data transfers between persistent storage and DL application memory through optimizations built on popular storage technologies such as NVMe SSDs and NVIDIA GDS. We showed benefits of using DeepNVMe for LLAMA3-70B token generation on single A100-80GB GPU with NVMe offloading, for which it achieves up to 7 tokens per second in generation throughput on an Azure NC96ads\_A100\_v4 VM. DeepNVMe will be generally available in DeepSpeed versions >= [0.15.0](https://github.com/microsoft/DeepSpeed/releases/tag/v0.15.0).  In future blogs, we will report DeepNVMe improvements for other I/O bound DL applications such as model checkpointing and data loading.
+In this blog post, we introduced DeepNVMe, an I/O optimization technology created to tackle the emergence of I/O operations as key bottlenecks of Deep Learning scalability. DeepNVMe enables fast and efficient data transfers between persistent storage and DL application memory through optimizations built on popular storage technologies such as NVMe SSDs and NVIDIA GDS. We showed benefits of using DeepNVMe for LLAMA3-70B token generation on single A100-80GB GPU with NVMe offloading, for which it achieves up to 7 tokens per second in generation throughput on an Azure NC96ads\_A100\_v4 VM. DeepNVMe will be open-sourced and generally available in DeepSpeed versions >= [0.15.0](https://github.com/microsoft/DeepSpeed/releases/tag/v0.15.0).  In future blogs, we will report DeepNVMe improvements for other I/O bound DL applications such as model checkpointing and data loading.
+
+
+# Acknowlegements
+This work is the result of a deep collaboration between Microsoft and Nvidia. The contributors include Joe Mayer, Martin Cai, and Olatunji Ruwase from Microsoft; Kiran Modukuri, Vahid Noormofidi, Sourab Gupta, and Sandeep Joshi from Nivida.

docs/index.md

@@ -7,26 +7,25 @@ title: "Latest News"
 ---
 <b> <span style="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>
 
+* [2024/08] [DeepNVMe: Improving DL Applications through I/O Optimizations](https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-gds/README.md)[[日本語](https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-gds/japanese/README.md)] [[中文](https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-gds/chinese/README.md)]
 * [2024/07] [DeepSpeed Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-ucp/README.md)[[日本語](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-ucp/japanese/README.md)]
 * [2024/03] [DeepSpeed-FP6: The Power of FP6-Centric Serving for Large Language Models](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fp6/03-05-2024/README.md) [[English](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fp6/03-05-2024/README.md)] [[中文](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fp6/03-05-2024/README-Chinese.md)]
 * [2024/01] [DeepSpeed-FastGen: Introducting Mixtral, Phi-2, and Falcon support with major performance and feature enhancements.](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen/2024-01-19)
 * [2023/11] [Llama 2 Inference on 4th Gen Intel® Xeon® Scalable Processor with DeepSpeed](https://github.com/microsoft/DeepSpeed/tree/master/blogs/intel-inference) [[Intel version]](https://www.intel.com/content/www/us/en/developer/articles/technical/xllama-2-on-xeon-scalable-processor-with-deepspeed.html)
-* [2023/11] [DeepSpeed ZeRO-Offload++: 6x Higher Training Throughput via Collaborative CPU/GPU Twin-Flow](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-offloadpp)
-* [2023/11] [DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen) [[English](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen)] [[中文](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen/chinese/README.md)] [[日本語](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen/japanese/README.md)]
-* [2023/10] [DeepSpeed-VisualChat: Improve Your Chat Experience with Multi-Round Multi-Image Inputs](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-visualchat/10-03-2023/README.md) [[English](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-visualchat/10-03-2023/README.md)] [[中文](https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-visualchat/10-03-2023/README-Chinese.md)] [[日本語](https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-visualchat/10-03-2023/README-Japanese.md)]
-* [2023/09] Announcing the DeepSpeed4Science Initiative: Enabling large-scale scientific discovery through sophisticated AI system technologies [[DeepSpeed4Science website](https://deepspeed4science.ai/)] [[Tutorials](https://www.deepspeed.ai/deepspeed4science/)] [[White paper](https://arxiv.org/abs/2310.04610)] [[Blog](https://www.microsoft.com/en-us/research/blog/announcing-the-deepspeed4science-initiative-enabling-large-scale-scientific-discovery-through-sophisticated-ai-system-technologies/)] [[中文](https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed4science/chinese/README.md)] [[日本語](https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed4science/japanese/README.md)]
-* [2023/08] [DeepSpeed ZeRO-Inference: 20x faster inference through weight quantization and KV cache offloading](https://github.com/microsoft/DeepSpeedExamples/blob/master/inference/huggingface/zero_inference/README.md)
 
 <!-- NOTE: we must use html for news items otherwise links will be broken in the 'more news' section -->
 
 <details>
  <summary>More news</summary>
  <ul>
-  <li>[2023/08] <a href="https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat/ds-chat-release-8-31/README.md">DeepSpeed-Chat: Llama/Llama-2 system support, efficiency boost, and training stability improvements</a></li>
 
-  <li>[2023/08] <a href="https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-ulysses">DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models</a> [<a href="https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-ulysses/chinese/README.md">中文</a>] [<a href="https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-ulysses/japanese/README.md">日本語</a>]</li>
+   <li>[2023/11] <a href="https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-offloadpp/README.md">DeepSpeed ZeRO-Offload++: 6x Higher Training Throughput via Collaborative CPU/GPU Twin-Flow</a></li>
+
+  <li>[2023/11] <a href="https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen">DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference</a> [<a href="https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen/chinese/README.md">中文</a>] [<a href="https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen/japanese/README.md">日本語</a>]</li>
+
+
+  <li>[2023/10] <a href="https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-visualchat/10-03-2023/README.md">DeepSpeed-VisualChat: Improve Your Chat Experience with Multi-Round Multi-Image Inputs</a> [<a href="https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-visualchat/10-03-2023/README-Chinese.md">中文</a>] [<a href="https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-visualchat/10-03-2023/README-Japanese.md">日本語</a>]</li>
 
-  <li>[2023/06] <a href="https://www.microsoft.com/en-us/research/blog/deepspeed-zero-a-leap-in-speed-for-llm-and-chat-model-training-with-4x-less-communication/">ZeRO++: A leap in speed for LLM and chat model training with 4X less communication</a> [<a href="https://www.microsoft.com/en-us/research/blog/deepspeed-zero-a-leap-in-speed-for-llm-and-chat-model-training-with-4x-less-communication/">English</a>] [<a href="https://github.com/microsoft/DeepSpeed/blob/master/blogs/zeropp/chinese/README.md">中文</a>] [<a href="https://github.com/microsoft/DeepSpeed/blob/master/blogs/zeropp/japanese/README.md">日本語</a>]</li>
  </ul>
 </details>