T-Mobile and NVIDIA are at the forefront of AI-driven 6G innovation, establishing a groundbreaking partnership to integrate artificial intelligence into 6G radio access networks (RAN). Through the AI RAN Innovation Center and NVIDIA’s AI Aerial platform, T-Mobile aims to create smarter, more adaptive networks, generating new revenue streams and enhancing performance across diverse applications. This collaboration marks a pivotal step in telecom’s AI evolution, positioning T-Mobile to lead in future network standardization and innovation through partnerships with industry giants like Ericsson, Nokia, and Microsoft.
GPU
Fujitsu and AMD have signed a strategic partnership to develop sustainable AI and high-performance computing (HPC) platforms. This collaboration will combine AMD’s advanced GPU technology with Fujitsu’s low-power, high-performance processors, including the FUJITSU-MONAKA. Together, the companies aim to support open-source AI initiatives, promote energy-efficient computing, and expand the AI ecosystem globally, providing a sustainable computing infrastructure for a range of industries and cloud service providers.
A study from Cambridge University and the Chinese Academy of Sciences warns that by 2030, generative AI could produce e-waste on an unprecedented scale, with projected volumes reaching millions of tons annually. As AI hardware life cycles shorten to meet the demand for computational power, researchers emphasize the urgent need for sustainable practices. Proposed solutions like hardware reuse, efficient component updates, and a circular economy approach could significantly mitigate AI’s environmental impact, potentially reducing e-waste by up to 86%.
GPU News Feed
- Currently no feed data is available.
Whitepaper
Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
Whitepaper
The whitepaper, "How Is Generative AI Optimizing Operational Efficiency and Assurance," provides an in-depth exploration of how Generative AI is transforming the telecom industry. It highlights how AI-driven solutions enhance customer support, optimize network performance, and drive personalized marketing strategies. Additionally, the whitepaper addresses the challenges of integrating AI into...
Article & Insights
This article explores the deployment of 5G NR Transparent Non-Terrestrial Networks (NTNs), detailing the architecture's advantages and challenges. It highlights how this "bent-pipe" NTN approach integrates ground-based gNodeB components with NGSO satellite constellations to expand global connectivity. Key challenges like moving beam management, interference mitigation, and latency are discussed, underscoring...
Subscribe To Our Newsletter
