Computerworld January 6, 2025
While Nvidia, AMD and others have benefited the most from AI’s rapid adoption, the future will belong to companies that develop energy-efficient chips that can power smaller language models in corporate data centers and edge devices.
Artificial Intelligence (AI) has rapidly transformed the chip industry since its mainstream arrival over the past two years, driving demand for specialized processors, accelerating design innovation, and reshaping global supply chains and markets.
The generative AI (genAI) revolution that began with OpenAI’s release of ChatGPT in late 2022 continues to push the limits of AI inference, large language models (LLMs) and semiconductor technologies. In short order, traditional CPUs, insufficient for AI’s parallel processing needs, have given way to specialized chips: GPUs, TPUs, NPUs, and...
Today's Sponsors
Today's Sponsor