3 d. ago Leveraging silicon photonics for scalable and sustainable AI hardware

The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies on graphical processing units (GPUs), the substantial processing demands and energy expenses associated with its operation remain key challenges. Adopting a more efficient and sustainable AI infrastructure paves the way for advancing AI development in the future.

Events

5 d. ago Trump to endorse coal for data center power in the face of grim market realities

An executive order will direct the federal government to list coal as a critical mineral and force some coal-fired power plants to keep generating electricity.

Politics

6 d. ago US utilities grapple with Big Tech's massive power demands for data centers

US utilities grapple with Big Tech's massive power demands for data centers  Reuters

Politics

2 w. ago Data centers love solar: Here’s a comprehensive guide to deals over 100 megawatts

New and expanded data centers are expected to double the sector’s power demand by 2029 as tech companies rush to capitalize on AI.

Politics

2 w. ago Cracking the code of private AI: The role of entropy in secure language models

Large Language Models (LLMs) have rapidly become an integral part of our digital landscape, powering everything from chatbots to code generators. However, as these AI systems increasingly rely on proprietary, cloud-hosted models, concerns over user privacy and data security have escalated. How can we harness the power of AI without exposing sensitive data?

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3 w. ago Solar notches another win as Microsoft adds 475 MW to power its AI data centers

The company recently signed a deal with energy provider AES for three solar projects across the Midwest. © 2024 TechCrunch. All rights reserved. For personal use only.

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