AI and Accelerated Computing Drive Energy Efficiency Gains During Climate Week 2024

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Rebeca Moen Sep 19, 2024 14:59

NVIDIA's AI and accelerated computing platforms are leading to significant energy efficiency improvements across various industries, highlighted during Climate Week 2024.

AI and Accelerated Computing Drive Energy Efficiency Gains During Climate Week 2024

NVIDIA's AI and accelerated computing platforms are leading to significant energy efficiency improvements across various industries, as highlighted during Climate Week 2024, according to the NVIDIA Blog.

All the electricity powering NVIDIA’s global operations will come from renewable sources by the end of January. This shift aligns with the company's mission to help customers and partners harness AI and accelerated computing for sustainable growth.

Foxconn Saves Energy With Digital Twins

Foxconn, the world’s largest electronics manufacturer, is leveraging NVIDIA's accelerated computing and AI to build a digital twin of a new factory in Mexico. This initiative is expected to save 30% in annual energy costs. “Our digital twin will guide us to new levels of automation and industrial efficiency, saving time, cost, and energy,” said Young Liu, chairman of Foxconn.

The project employs software from the Siemens Xcelerator portfolio, including Teamcenter and NVIDIA Omniverse. Siemens and NVIDIA executives will discuss their sustainability efforts at a Climate Week event moderated by TIME magazine.

Cloud Services Increase Efficiency

Cloud computing services are also seeing advances in energy efficiency. An e-commerce website using NVIDIA AI achieved significantly lower latency and nearly 12x energy-efficiency improvement after migrating from CPUs to GPUs. Similarly, a popular video conferencing application saw a 25x energy-efficiency improvement by switching from CPUs to GPUs.

Service providers like Equinix are turning to renewable energy sources, aiming to become climate neutral by 2030. Equinix currently uses 96% renewable energy, facilitating sustainable private AI with NVIDIA DGX systems.

Decoding Cancer While Saving Energy

The Wellcome Sanger Institute, a leading genome sequencing facility, uses NVIDIA Parabricks software on NVIDIA DGX systems to sequence and analyze tens of thousands of cancer samples. This setup reduces run times by 1.6x and energy consumption by up to 42x, potentially saving $1 million and 1,000 megawatt-hours annually.

Expanding the Sustainability Ecosystem

NVIDIA is nurturing a broad ecosystem focused on sustainability. A collaboration with the United Nations has trained over 14,000 data scientists on designing AI models for early flood detection. The NVIDIA Inception program now includes more than a thousand startups working on energy efficiency innovations.

Savings Span Global Industries

“The generative AI revolution is poised to impact every industry and enable a new era of productivity and sustainability,” said NVIDIA founder and CEO Jensen Huang in the company’s latest sustainability report. Independent analysts recognize AI's significant impact on reducing global energy consumption.

45,000x Efficiency Gain in AI Inference

NVIDIA’s platform has become 45,000x more energy efficient in processing large language models over the past eight years. Speedups ranging from 20x to 160x over CPUs are available across various workloads, making accelerated computing synonymous with sustainable computing.

Expanding Climate Week’s Agenda

NVIDIA and its partners are participating in several Climate Week events, including a Climate AI Summit with Salesforce and a Climate Science Fair featuring startups using NVIDIA technologies. These events aim to showcase how AI and accelerated computing can address climate change.

“Accelerated computing is how to meet the massive demand for computing power sustainably and cost-effectively,” Huang said.

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