{"slug": "maia-200-a-software-defined-dataflow-system-for-large-scale-ai-acceleration", "title": "Maia 200: A Software Defined Dataflow System for Large-Scale AI Acceleration", "summary": "Researchers introduced Maia 200, an AI accelerator delivering 10,145 Tflop/s FP4 and 5,072 Tflop/s FP8 performance within a 750W TDP and 7 TB/s HBM bandwidth, as detailed in a paper submitted to arXiv on August 25, 2026. The chip exemplifies a Software Defined Locally Accessed Dataflow Architecture (SDLA), shifting from thread-centric to data-movement-centric computing to improve efficiency and scalability for AI inference workloads.", "body_md": "# Computer Science > Hardware Architecture\n\n[Submitted on 25 Aug 2026]\n\n# Title:Maia 200: A Software Defined Dataflow System for Large-scale AI Acceleration\n\n[View PDF](/pdf/2608.24664)\n\n[HTML (experimental)](https://arxiv.org/html/2608.24664v1)\n\nAbstract:We introduce Maia 200, an advanced AI accelerator delivering high performance-10 145 Tflop/s FP4 and 5072 Tflop/s FP8 within a 750W TDP and 7 TB/s HBM bandwidth. Maia exemplifies a new class of Software Defined Locally Accessed Dataflow Architectures (SDLA), which explicitly program dataflow engines to orchestrate highly specialized memories and data movement engines. This approach shifts the focus from today's thread-centric to data-movement-centric architecture, improving efficiency and scalability. Our taxonomy of data management, inspired by Flynn's classification, highlights how SDLA addresses challenges in modern AI computing. Maia 200 achieves significant cost and energy savings while supporting massive parallelism for AI inference workloads, making it a compelling solution for next-generation high-performance computing systems.\n\n### Current browse context:\n\ncs.AR\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer\n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers\n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps\n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations\n\n*(*[What are Smart Citations?](https://www.scite.ai/))# Code, Data and Media Associated with this Article\n\nalphaXiv\n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers\n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub\n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub\n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face\n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast\n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower\n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender\n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [ Learn more about arXivLabs](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/maia-200-a-software-defined-dataflow-system-for-large-scale-ai-acceleration", "canonical_source": "https://arxiv.org/abs/2608.24664", "published_at": "2026-08-26 21:25:42+00:00", "updated_at": "2026-08-26 21:48:31.961651+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-chips", "ai-infrastructure"], "entities": ["Maia 200", "arXiv"], "alternates": {"html": "https://wpnews.pro/news/maia-200-a-software-defined-dataflow-system-for-large-scale-ai-acceleration", "markdown": "https://wpnews.pro/news/maia-200-a-software-defined-dataflow-system-for-large-scale-ai-acceleration.md", "text": "https://wpnews.pro/news/maia-200-a-software-defined-dataflow-system-for-large-scale-ai-acceleration.txt", "jsonld": "https://wpnews.pro/news/maia-200-a-software-defined-dataflow-system-for-large-scale-ai-acceleration.jsonld"}}