Key applications for GenAI and the features they enable, as well as an examination of how model growth and differing model types are driving the memory and processing roadmaps.
In the third of a three-part series, Expedera, in conjunction with the Global Semiconductor Alliance’s Emerging Technologies (EmTech) group explores “Transforming the Semiconductor Industry: Future Roadmap for Generative AI on the Edge”. This white paper explores key applications for Generative AI and the features they enable, as well as an examination of how model growth and differing model types are driving the memory and processing roadmaps. Finally, the paper explores some of the unanswered questions related to data handling, memory, and monetization.
Read more here.
Related:
The Impact of Generative AI on the Edge for the Semiconductor Industry
Introduction to LLMs and SLMs, as well as the market dynamics around widescale adoption of Gen AI at the edge.
Unlocking Generative AI On The Edge Across The Semiconductor Value Chain
As Edge GenAI necessitates specialized, highly efficient hardware solutions, these demands are generating growth opportunities and driving demand across the chip industry ecosystem.
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