Posts by Kerwin Tsai

AUP Learning Cloud: Streamlining AI Education on AMD

AI education is becoming increasingly hands-on. Students are now expected to train models, build AI agents, experiment with large language models (LLMs), and develop applications accelerated by graphics processing units (GPUs), so courses depend as much on practical computing infrastructure as on learning materials. Yet standing up that infrastructure is usually the real bottleneck, and educators often spend more effort building it than teaching.

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Optimizing MI300X Inter-Chiplet Communication via the RCCL Tuner API

The AMD Instinct MI300X’s chiplet architecture introduces non-uniform communication paths when running in CPX/NPS4 mode — and RCCL default algorithms don’t account for this topology.

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Digital Twins on AMD: Building Robotic Simulations Using Edge AI PCs

Digital twins are becoming a core tool in robotics, automation, and intelligent systems. They provide a virtual representation of a physical system, allowing developers to validate robot behaviors, test motion strategies, and generate datasets before deploying anything in the real world.

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