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PowerLattice attracts investment from ex-Intel CEO Pat Gelsinger for its powersaving chiplet

PowerLattice, a semiconductor startup, has secured $25 million in Series A funding from investors, including ex-Intel CEO Pat Gelsinger. The company aims to reduce chip power consumption by over 50% with its innovative power delivery chiplet. With its first batch in production, PowerLattice is set to attract major semiconductor companies for trials in 2026, addressing the urgent need for energy-efficient computing in the AI landscape.

要点

  • PowerLattice, founded in 2023 by ex-Qualcomm, NUVIA, and Intel engineers, has developed a chiplet technology to reduce power needs by over 50%.
  • The startup raised $25 million in Series A funding, with Gelsinger highlighting the challenge of power delivery as a key industry concern.
  • The chiplet aims to minimize energy loss by bringing power closer to processors, a necessity as demand for AI computing increases.
  • PowerLattice's technology is currently being tested in partnership with TSMC and an unnamed manufacturer.
  • Future trials will involve major chip manufacturers, including Nvidia, Broadcom, and AMD, indicating significant market interest.
  • PowerLattice competes with startups like Empower Semiconductor, which recently raised $140 million, illustrating the growing focus on energy efficiency in chip design.

なぜ重要か

  • The increasing demand for AI capabilities has made energy efficiency in chip design a top priority among semiconductor manufacturers.
  • Historically, energy consumption in computing has always contrasted with performance needs, becoming more pronounced as AI models grow.
  • Growing regulatory pressure on energy consumption and sustainability in tech also aligns with PowerLattice's objectives to innovate in chip efficiency.
  • By 2025, trends in IT are expected to focus on green technologies and energy-efficient computing due to climate change pressures and operational costs.

PowerLattice's innovative power-saving chiplet addresses critical energy efficiency needs in the semiconductor industry, especially in light of rising AI demands, positioning itself as a significant player for upcoming advancements in chip technology.