Advanced Micro Devices, Inc
Su highlighted AMD's foresight in addressing AI's power consumption issues since 2021, focusing on improving data center power efficiency. She noted that the explosion of generative AI models like ChatGPT had intensified concerns about AI's power appetite, Tom's Hardware reports.
AMD set its 30×25 goal to improve data center efficiency, specifically targeting AI and HPC power consumption as critical challenges.
Su explained that the rapid expansion of data centers, driven by AI advancements, is straining public power grids.
Su pointed out that the computing requirements for AI model training are increasing at an unprecedented rate, outpacing advancements in computing and memory technology.
To address these challenges, AMD employs a multi-pronged strategy that includes silicon advancements, AI-specific architectures, system-level tuning, and hardware-software co-design initiatives.
Su highlighted the role of 3nm Gate All Around (GAA) transistors in improving power efficiency and performance, along with advanced packaging techniques to maximize compute-per-watt efficiency.
Su also emphasized the importance of data locality in reducing power consumption, citing AMD's MI300X chip as an example of efficient design.
Moreover, Su stressed the benefits of hardware and software co-optimization, significantly boosting power efficiency and performance.
Recent reports indicated that Microsoft Corp
Recent reports also flagged AMD gaining market share in the x86 processor market for client and server categories.
Analysts highlighted AMD's, the next most vital AI beneficiary after Nvidia Corp
AMD stock gained over 48% in the last 12 months. Investors can gain exposure to the stock via Advisor Managed Portfolios Trenchless Fund ETF
Price Actions: AMD shares traded higher by 3.18% at $165.53 at the last check on Friday.
