Nvidia Developer 02月16日
Transforming Data Centers into AI Factories for the 5th Industrial Revolution
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NVIDIA自2016年起设计、建设和运营多兆瓦数据中心,推动数据中心向AI转型,提高其可访问性、资源效率、能源效率等。GPU的应用带来变革,能源效率的提升也至关重要。

NVIDIA推动数据中心转型,使其更具多种效率

GPU自2012年进入数据中心后带来行业革命

能源效率提升对训练和推理大语言模型重要

性能每瓦特和每美元的关注将推动整体创新

In a recent DC Anti-Conference Live presentation, Wade Vinson, chief data center distinguished engineer at NVIDIA, shared insights based upon work by NVIDIA designing, building, and operating NVIDIA DGX SuperPOD multi-megawatt data centers since 2016.NVIDIA is helping make data centers more accessible, resource-efficient, energy-efficient, and business-efficient, as well as scalable to any size and location globally. The evolution of data centers into AI data centers is not just a trend but a necessity driven by the increasing computational demands of AI workflows.The GPU revolutionAt the heart of this transformation lies the power of GPUs. Since their introduction to data centers in 2012, GPUs have revolutionized the industry by enabling parallel processing and significantly reducing the time required for intensive tasks. This shift has resulted in remarkable improvements, offering 30x performance per watt and 60x performance per dollar compared to traditional CPU-based systems. The impact of GPUs extends beyond mere performance enhancements; they are reshaping the very foundation of data center operations, paving the way for more efficient and cost-effective AI-driven infrastructures.Energy efficiency: The new frontierThe drive towards sustainable computing is a key factor in the transformation of data centers into AI factories. Recent advancements have led to substantial increases in energy efficiency for training and inferencing large language models. What once required 40-gigawatt hours now needs only three gigawatt hours, marking a significant leap in efficiency. This progress is crucial as the number of large language model builders continues to grow. Moreover, the efficiency extends to everyday applications, with a typical ChatGPT query consuming a mere 0.4 watts per hour. As data centers evolve, the focus on performance per watt and performance per dollar will continue to drive innovation across the entire platform, including GPUs, CPUs, interconnects, power, and cooling systems, ultimately leading to the creation of AI factories with unprecedented levels of efficiency.Don’t miss Wade Vinson’s presentation on transforming data centers into AI factories, a critical step towards the 5th Industrial Revolution. Watch the DC AC live Keynote video now to equip yourself with the knowledge needed to lead your organization into the AI-driven future of data centers.

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NVIDIA 数据中心 AI工厂 GPU 能源效率
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