LG and Tenstorrent Team Up to Revolutionize AI Chips with Advanced SoC Technology

November 12, 2024
LG and Tenstorrent Team Up to Revolutionize AI Chips with Advanced SoC Technology
  • LG Electronics and Tenstorrent have expanded their collaboration to develop advanced System-on-Chips (SoCs) aimed at enhancing AI capabilities.

  • Jim Keller, CEO of Tenstorrent, brings a wealth of experience in chip design, having led major projects at notable companies such as AMD, Apple, and Tesla.

  • Founded in 2016, Tenstorrent specializes in high-performance processors for AI and machine learning, positioning itself as a competitor to established players like Nvidia.

  • The demand for chiplet technology is surging, driven by its ability to enhance chip performance while reducing power consumption, particularly in the context of the AI boom.

  • SoCs integrate essential components like processors and memory on a single silicon chip, significantly improving product functionality and efficiency.

  • Key discussion topics during the collaboration included home appliances, smart home solutions, mobility, server processors, and the innovative chiplet technology.

  • As part of their partnership, both companies are considering establishing a long-term internship program to nurture young talent in the AI semiconductor sector.

  • Tenstorrent has previously collaborated with Hyundai Motor Co. to develop next-generation chips and is also working with Samsung Electronics on foundry services.

  • Keller expressed enthusiasm about the partnership, emphasizing the demand for customizable silicon solutions that Tenstorrent's technology can provide for LG's future needs.

  • LG is focusing on chiplet technology, which combines smaller semiconductor pieces into larger systems, offering versatility in application.

  • This latest partnership builds on an initial collaboration announced earlier in 2024, which centered around chiplet technology and AI chips for future appliances.

  • The increasing importance of system chip design capabilities is evident as the demand for high-performance, low-power AI semiconductors continues to rise across various business sectors.

Summary based on 15 sources


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