AI and accelerated computing technologies by NVIDIA driving energy efficiency in various industries.

From NVIDIA: 2024-07-22 08:00:18

NVIDIA’s AI and accelerated computing technologies are driving energy efficiency across various industries. Studies suggest data centers may soon account for 4% of global energy consumption, highlighting AI’s role in reducing overall energy usage. Innovative systems, like Italy’s Leonardo supercomputer with NVIDIA GPUs, are advancing fields from automobile design to weather forecasting. Energy efficiency gains are evident in the most efficient supercomputers worldwide.

Accelerated computing, utilizing NVIDIA GPUs for parallel processing, is more energy-efficient than CPU-based systems. NVIDIA’s GPUs deliver superior performance, particularly in AI applications like machine learning and deep learning. Companies like Murex and Wistron have documented significant energy savings and efficiency improvements using NVIDIA technology across various sectors. The RAPIDS Accelerator for Apache Spark can reduce carbon emissions by up to 80% while delivering speed and cost savings in data analytics.

Accelerated AI is transforming industries, with companies like Insilico Medicine using NVIDIA-powered platforms for drug discovery at a fraction of traditional costs and time. Users worldwide, from healthcare to manufacturing, are seeing tangible benefits in efficiency and sustainability with AI and accelerated computing. Policymakers recognize AI’s potential for economic growth, social welfare, and environmental impact, urging better vetting of claims about AI and energy benefits.



Read more at NVIDIA: How AI and Accelerated Computing Are Driving Energy Efficiency