Université Carnegie Mellon

Département d'Informatique — Inférence LLM sur Appareil

États-Unis · Doctorat

Carnegie Mellon University maintains an active research program in On-Device LLM Inference. Faculty including Mahadev Satyanarayanan, Virginia Smith contribute to frontier research at the intersection of hardware design and AI systems. The program offers doctoral training with access to specialized laboratories and research groups.

学术历史

Carnegie Mellon University has a strong tradition in On-Device LLM Inference, building on decades of research in hardware architecture, VLSI design, and AI systems. Recent work by Mahadev Satyanarayanan and Virginia Smith has advanced the field and earned international recognition. The department continues to foster frontier research through seminars, collaborations, and doctoral training.

当前状态

Carnegie Mellon University currently offers specialized courses and research seminars in On-Device LLM Inference and related areas. Doctoral students engage with frontier topics in hardware acceleration, efficient inference, and AI system co-design. The department hosts regular workshops and collaborates with industry partners.

实验室 / 研究中心

CMU Mobile and IoT Computing (MuSIC Lab)

访问页面 →

CMU Machine Learning Department — Efficient & Federated Learning

访问页面 →

关键人物

Mahadev Satyanarayanan

Professor

Leading researcher in the field with international recognition for their contributions to AI hardware and systems.

Virginia Smith

Associate Professor

Leading researcher in the field with international recognition for their contributions to AI hardware and systems.

学术资源

Carnegie Mellon University Graduate Admissions → 官方资源
来源:Carnegie Mellon University School of Computer Science

证据

排名

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师资

2 位相关教师

知名:Mahadev Satyanarayanan、Virginia Smith

研究产出

See official faculty pages and Google Scholar profiles for publication counts

就业去向

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