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AMD on X

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  • Agentic AI isn't just a GPU workload. CPUs play a big role. Recent @mimiktech tests of agentic workflows on AMD Ryzen AI Embedded X100 processors found about 80% of operations were CPU-bound, supporting coordination, orchestration, scheduling and reporting. Watch @Fayarjomandi, founder and CEO of mimik, as she explains why heterogeneous compute matters for deploying agentic AI at the edge and describes her vision for open, collaborative and scalable systems. 🎥 Full interview: https://t.co/7T4SniXx9t

  • Built for the AI era. Proud to power the next generation of @HPE ProLiant servers with 6th Gen AMD EPYC processors.

  • Open models need an open stack. @ZyphraAI VP of AI Engineering Quentin Anthony shares how access to open software libraries and direct collaboration with AMD are helping the team train bigger models, keep growing compute resources working efficiently and pave new ground in AI. Learn how Zyphra trained its ZAYA1-8B reasoning model from scratch on a full-stack AMD platform: https://t.co/APcGZReKHm

  • To meet the aggressive performance goals of AI, leaders need reliable solutions. @OpenAI shared why their team selected AMD EPYC “Turin” CPUs to host its Jalapeño AI ASIC deployment, citing platform strength, partner experience and the importance of reducing unnecessary risk. More from @TomsHardware: https://t.co/fQUt37qNgw

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AMD on LinkedIn

LinkedIn · AMD

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  • Agentic AI isn't just a GPU workload. CPUs play a big role. Recent mimik tests of agentic workflows on AMD Ryzen AI Embedded X100 processors found about 80% of operations were CPU-bound, supporting coordination, orchestration, scheduling and reporting. Watch Fay Arjomandi, founder and CEO of mimik, as she explains why heterogeneous compute matters for deploying agentic AI at the edge and describes her vision for open, collaborative and scalable systems. 🎥 Full interview: https://lnkd.in/eaBg25Zm

  • Open models need an open stack. Zyphra VP of AI Engineering Quentin Anthony shares how access to open software libraries and direct collaboration with AMD are helping the team train bigger models, keep growing compute resources working efficiently and pave new ground in AI. Learn how Zyphra trained its ZAYA1-8B reasoning model from scratch on a full-stack AMD platform: https://bit.ly/4ixfdaB

  • To meet the aggressive performance goals of AI, leaders need reliable solutions. OpenAI shared why their team selected AMD EPYC “Turin” CPUs to host its Jalapeño AI ASIC deployment, citing platform strength, partner experience and the importance of reducing unnecessary risk. More from Tom's Hardware: https://lnkd.in/gt_C58T2

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