OEMs, brands and cloud providers want to move LLMs to the edge, especially for vision applications. What are the benefits and challenges of doing so? In this talk, we explore how edge AI is evolving to encompass massively increasing LLM […]
OEMs, brands and cloud providers want to move LLMs to the edge, especially for vision applications. What are the benefits and challenges of doing so? In this talk, we explore how edge AI is evolving to encompass massively increasing LLM […]
A cloud-to-edge deep learning pipeline is a fully automated conduit for training and deploying models to the edge. This enables quick model retraining and makes the solution more robust toward data shifts. Cloud-to-edge pipelines are pivotal for many applications, from […]
AI hardware accelerators are playing a growing role in enabling AI in embedded systems such as smart devices. In most cases NPUs need a dedicated, tightly coupled high-speed memory to run efficiently. This memory has a major impact on performance, […]
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