3 trends for 2024: edge intelligence, RISC-V, & chiplets
This article discusses three major technology trends expected to shape 2024:
Edge Intelligence Enhancement: The article highlights advancements in deploying large language models (LLMs) on devices with limited memory, particularly focusing on a research paper by Apple. This paper introduces techniques for efficient LLMs operation on such devices, indicating a broader trend of increased machine learning and inference capabilities at the edge of networks.
RISC-V Architecture Adoption: The formation of Quintauris, a company backed by major tech players, is set to accelerate the commercialization of RISC-V hardware globally. This development suggests a growing interest in RISC-V architecture, especially in automotive, mobile, and IoT applications. The industry is moving towards heterogeneous computing architectures, where RISC-V plays a crucial role in various functions.
Rise of Chiplets: Chiplets are emerging as a solution to the high demands of machine learning-intensive products. The trend is compared to the evolution of the intellectual property business two decades ago. Startups like Zero ASIC are democratizing chip-making with platforms for chiplet-based design and emulation. The increasing use of chiplets will rely on standardization efforts like the UCIe specification.
https://www.embedded.com/3-trends-for-2024-ai-drives-more-edge-intelligence-risc-v-chiplets/#
Edge Intelligence Enhancement: The article highlights advancements in deploying large language models (LLMs) on devices with limited memory, particularly focusing on a research paper by Apple. This paper introduces techniques for efficient LLMs operation on such devices, indicating a broader trend of increased machine learning and inference capabilities at the edge of networks. RISC-V Architecture Adoption: The formation of Quintauris, a company backed by major tech players, is set to accelerate the commercialization of RISC-V hardware globally. This development suggests a growing interest in RISC-V architecture, especially in automotive, mobile, and IoT applications. The industry is moving towards heterogeneous computing architectures, where RISC-V plays a crucial role in various functions. Rise of Chiplets: Chiplets are emerging as a solution to the high demands of machine learning-intensive products. The trend is compared to the evolution of the intellectual property business two decades ago. Startups like Zero ASIC are democratizing chip-making with platforms for chiplet-based design and emulation. The increasing use of chiplets will rely on standardization efforts like the UCIe specification.https://www.embedded.com/3-trends-for-2024-ai-drives-more-edge-intelligence-risc-v-chiplets/#
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