Tag: energy consumption
-
Slashdot: Hugging Face Researchers Warn AI-Generated Video Consumes Much More Power Than Expected
Source URL: https://hardware.slashdot.org/story/25/09/27/0249201/hugging-face-researchers-warn-ai-generated-video-consumes-much-more-power-than-expected?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Hugging Face Researchers Warn AI-Generated Video Consumes Much More Power Than Expected Feedly Summary: AI Summary and Description: Yes Summary: The findings from researchers at Hugging Face reveal that generative AI tools for text-to-video production have a significantly larger carbon footprint than expected. The study highlights a non-linear increase…
-
The Register: DARPA amps up effort to make AI power-conscious
Source URL: https://www.theregister.com/2025/09/25/dapra_ai_power_conscious/ Source: The Register Title: DARPA amps up effort to make AI power-conscious Feedly Summary: New research program seeks ‘energy-aware’ ML that balances performance with power draw It’s notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end to that uncertainty with new “energy-aware" machine…
-
Cloud Blog: Our approach to carbon-aware data centers: Central data center fleet management
Source URL: https://cloud.google.com/blog/topics/sustainability/googles-approach-to-carbon-aware-data-center/ Source: Cloud Blog Title: Our approach to carbon-aware data centers: Central data center fleet management Feedly Summary: Data centers are the engines of the cloud, processing and storing the information that powers our daily lives. As digital services grow, so do our data centers and we are working to responsibly manage them.…
-
The Register: Nvidia’s context-optimized Rubin CPX GPUs were inevitable
Source URL: https://www.theregister.com/2025/09/10/nvidia_rubin_cpx/ Source: The Register Title: Nvidia’s context-optimized Rubin CPX GPUs were inevitable Feedly Summary: Why strap pricey, power-hungry HBM to a job that doesn’t benefit from the bandwidth? Analysis Nvidia on Tuesday unveiled the Rubin CPX, a GPU designed specifically to accelerate extremely long-context AI workflows like those seen in code assistants such…
-
Slashdot: Microsoft’s Analog Optical Computer Shows AI Promise
Source URL: https://hardware.slashdot.org/story/25/09/08/0125250/microsofts-analog-optical-computer-shows-ai-promise?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft’s Analog Optical Computer Shows AI Promise Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a project by Microsoft Research involving an analog optical computer (AOC) designed for AI workloads, significantly enhancing computation speed and energy efficiency compared to traditional GPUs. The initiative offers opportunities for…
-
Slashdot: Google Says It Dropped the Energy Cost of AI Queries By 33x In One Year
Source URL: https://tech.slashdot.org/story/25/08/22/2118234/google-says-it-dropped-the-energy-cost-of-ai-queries-by-33x-in-one-year?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Says It Dropped the Energy Cost of AI Queries By 33x In One Year Feedly Summary: AI Summary and Description: Yes Summary: Google’s recent analysis reveals a significant reduction in the energy consumption and carbon emissions associated with its AI text queries, achieving a 33x reduction over the…
-
Cloud Blog: How much energy does Google’s AI use? We did the math
Source URL: https://cloud.google.com/blog/products/infrastructure/measuring-the-environmental-impact-of-ai-inference/ Source: Cloud Blog Title: How much energy does Google’s AI use? We did the math Feedly Summary: AI is unlocking scientific breakthroughs, improving healthcare and education, and could add trillions to the global economy. Understanding AI’s footprint is crucial, yet thorough data on the energy and environmental impact of AI inference —…
-
The Register: Broadcom’s Jericho4 ASICs just opened the door to multi-datacenter AI training
Source URL: https://www.theregister.com/2025/08/06/broadcom_jericho_4/ Source: The Register Title: Broadcom’s Jericho4 ASICs just opened the door to multi-datacenter AI training Feedly Summary: Forget building massive super clusters. Cobble them together from existing datacenters instead Broadcom on Monday unveiled a new switch which could allow AI model developers to train models on GPUs spread across multiple datacenters up…