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=== Assistant: Good question — short answer: no, not directly. === Good question — short answer: no, not directly. But yes, there is a connection via branding/terminology and the acquisitions of Mipsology and AMD that’s worth clarifying. Here’s the breakdown: ===== ✅ What we know ===== # AMD acquired Mipsology (a French AI‐software company based in Palaiseau) in August 2023. Investopedia<ref>{{cite web|title=Investopedia|url=https://www.investopedia.com/amd-acquires-french-ai-software-company-mipsology-7852209|publisher=investopedia.com|access-date=2025-11-16}}</ref> - Mipsology’s flagship software is called Zebra AI (for inference/optimization). Investopedia<ref>{{cite web|title=Investopedia|url=https://www.investopedia.com/amd-acquires-french-ai-software-company-mipsology-7852209|publisher=investopedia.com|access-date=2025-11-16}}</ref> - The blog from AMD states: “Mipsology’s highly skilled software team … will join the AMD AI Group … help develop our full AI software stack … and enable streamlined deployment of AI models running on AMD hardware.” AMD<ref>{{cite web|title=AMD|url=https://www.amd.com/en/blogs/2023/amd-acquires-mipsology-to-deepen-ai-inference-soft.html|publisher=amd.com|access-date=2025-11-16}}</ref> # Independently, AMD also published a research paper “Zebra‑Llama: Towards Extremely Efficient Hybrid Models” where the first authors list is from “Advanced Micro Devices, Inc. (AMD)”. arXiv<ref>{{cite web|title=arXiv|url=https://arxiv.org/html/2505.17272v1|publisher=arxiv.org|access-date=2025-11-16}}</ref> - The Zebra-Llama work is about hybrid language models (1B/3B/8B) combining SSM + MLA layers, reducing KV‐cache, etc. OpenReview<ref>{{cite web|title=OpenReview|url=https://openreview.net/pdf/ba9ef0b7769e0db15d03dbd4788db3287b2d18a4.pdf|publisher=openreview.net|access-date=2025-11-16}}</ref> - So in that sense, AMD owns/controls Zebra-Llama as a research initiative. ===== ⚠️ But: they are not the same “Zebra” ===== * The “Zebra AI” from Mipsology is a software inference/optimization product, primarily for image/video networks and inference on FPGAs/adaptive chips (“Zebra” is the product name). Phoronix<ref>{{cite web|title=Phoronix|url=https://www.phoronix.com/news/AMD-Acquires-Mipsology|publisher=phoronix.com|access-date=2025-11-16}}</ref> * The “Zebra-Llama” is a specific hybrid LLM family created by AMD’s AI research group; it uses “Zebra” in the naming (likely referencing “stripe pattern / hybrid / efficient”) but it’s unrelated in concept to Mipsology’s “Zebra AI” product. * There’s no public statement linking the Mipsology “Zebra AI” product directly to the “Zebra-Llama” LLM research (i.e., the same team, codebase, or product lineage). * The Mipsology acquisition is about inference/optimization software stack; Zebra-Llama is about model architecture/training efficiency. Different layers of the stack. ===== 🔍 My conclusion ===== Yes, there is a branding overlap: “Zebra” shows up both in Mipsology’s “Zebra AI” and AMD’s “Zebra-Llama”. But the acquisition of the French company is not directly the reason why* the Zebra-Llama model family exists (based on the available public info). The Zebra-Llama model appears to be a purely AMD research invention/initiative. In short: * The acquisition boosted AMD’s software/inference stack for AI, which indirectly supports everything (models + hardware + software) in the AMD AI ecosystem. * But the Zebra-Llama research is separate from that specific acquisition. * The French acquisition gave AMD extra software talent for inference optimisation, which could help deployment of models like Zebra-Llama, but it’s not “Zebra-Llama = Mipsology’s Zebra AI model”. If you like, I can check internal patent filings / acquisition disclosures to see if Mipsology’s tech or team were explicitly credited in the Zebra-Llama research paper (to see if there is deeper connection). Would you like me to dig into that?
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