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Disaggregation Is a Thousand-GPU Problem

Towards Data Science · published 4 September 2026

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https://nvidianews.nvidia.com/news/dynamo-1-0
nvidianews.nvidia.com
https://vllm.ai/blog/2026-04-07-moriio-kv-connector
vllm.ai
The case for disaggregated LLM serving Read at the source ↗
blog.doubleword.ai
https://arxiv.org/abs/2506.05508
arxiv.org
https://www.wing.vc/content/the-inference-unbundling-why-prefill-and-decode-are-splitting-the-gpu
wing.vc
https://haoailab.com/blogs/distserve-retro/
haoailab.com
https://www.usenix.org/system/files/osdi24-zhong-yinmin.pdf
usenix.org
Prefill and Decode for Concurrent Requests - Optimizing LLM Performance Read at the source ↗
huggingface.co
https://www.spheron.network/blog/prefill-decode-disaggregation-gpu-cloud/
spheron.network
https://www.lmsys.org/blog/2025-05-05-large-scale-ep/
lmsys.org
https://github.com/sgl-project/sglang/issues/14284
github.com
https://github.com/sgl-project/sglang/issues/9266
github.com
https://github.com/sgl-project/sglang/issues/30233
github.com
https://handbook.modular.com/inference-optimization/prefill-decode-disaggregation
handbook.modular.com
https://codecontent.net/?utm_source=tds&utm_medium=article_footer&utm_campaign=author_cta
codecontent.net
https://www.linkedin.com/in/mostafa-ibrahim-948004151
linkedin.com