The right model depends on the task. NVIDIA NeMo Switchyard helps developers route each agent workflow step across a chosen model pool based on their own quality, latency and cost criteria. Kari Briski joins @MTSlive to explain why agent workflows need model routing.
A major milestone for the Genesis Mission. New photos of the fully installed Lux supercomputer at @ORNL. 📸 Built with AMD technology by @HPE for the U.S. Department of @ENERGY, Lux represents the next generation of advanced HPC infrastructure, demonstrating how open technology can help advance U.S. AI leadership and accelerate breakthroughs in energy research, materials science, medicine, and advanced manufacturing.
AMD CTO Mark Papermaster 的訊息主軸是：AI 工作負載不能只看單一運算元件，越來越吃重的 foundation model 需要 CPU、GPU 與網路共同設計。AMD 將此包裝為「holistic system design」，主張系統級整合才能提供 AI 所需效能。這是 AMD 官方觀點，來源沒有附上具體架構案例、效能比較或客戶部署數據。
AI workloads don't run on compute alone. AMD CTO Mark Papermaster (@MPaper2000) explains why increasingly demanding foundation models require CPUs, GPUs and networking to work together and how a holistic system design can help deliver the performance AI needs.
Physical AI won’t be won by a single accelerator, or a closed stack. @Waymo’s next-gen embedded compute architecture shows why autonomous driving demands responsive and redundant systems. AMD brings the open compute portfolio to help power what’s next: https://bit.ly/4g4pDNu
AI 算力擴張會把耗電、供應鏈與公平近用壓力推到晶片商身上；若沒有可驗證指標，企業永續說法容易停留在品牌層次。
原文節錄
AMD · @AMD
As AI adoption accelerates, innovation and responsibility must scale together. AMD Chief Sustainability Officer @JustinMurrill shares how AMD is advancing…
As AI adoption accelerates, innovation and responsibility must scale together. AMD Chief Sustainability Officer @JustinMurrill shares how AMD is advancing energy efficiency, responsible business practices and access to technology to drive progress at scale. Read more: https://bit.ly/3Sh4tT2
Awesome to see the first NVIDIA Vera Rubin racks powering @OpenAI 's training stack. Together, we’re building the accelerated computing infrastructure to advance frontier AI.
