As enterprises and service providers navigate the complexities of modern connectivity, MEF is accelerating the adoption of Network-as-a-Service (NaaS). Artificial intelligence’s (AI) integration with NaaS is advancing this shift, enabling service providers to drive new business in meeting the emerging demands of enterprise.

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Read more: MEF’s Kevin Vachon on Accelerating NaaS Adoption and Industry Certifications

As we step into 2025, the telecom landscape in Sub-Saharan Africa presents both significant opportunities and challenges. In an exclusive interview with Telecom Review, Rajiv Aggarwal, Head of Sales, Sub-Saharan Africa, Cloud & Network Services at Nokia, reflects on key takeaways from 2024, the growing role of automation and AI, the escalating importance of security, and the trends set to shape the telecom industry in 2025. His insights offer a roadmap for navigating this rapidly evolving market.

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Read more: Shaping Sub-Saharan Africa’s Telecom Future: Insights from Nokia’s Rajiv Aggarwal

The United Arab Emirates (UAE) is at the forefront of innovation and global digital transformation, delivering next-generation digital services to enterprises and consumers. du, one of the country’s leading telecom and digital service providers, has demonstrated its commitment to advancing the 5G Advanced innovation and UAE’s digital landscape.

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Read more: Saleem Alblooshi Explores How du is Developing the UAE’s 5G Advanced and Sustainable Future

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Intel has unveiled details about its new artificial intelligence (AI) chip—the Gaudi 3—designed to enhance the performance of generative AI (GenAI) in enterprise settings.

The latest AI chip offers double the power efficiency and 1.5 times faster AI model processing than Nvidia's H100 GPU. Intel tested the chip on several models such as Meta's Llama and Falcon.  

The Gaudi 3 delivers a fourfold enhancement in AI computation for BF16 and surpasses Nvidia's H100 in a head-to-head comparison, demonstrating an average 50% reduction in time required for training across different models. Additionally, the inference throughput of the system is expected to surpass that of the H100 by 50%.

The objective is to compete with Nvidia’s strong position in the AI chip industry and streamline the process of training and deploying artificial intelligence models, specifically those designed for language models.

The Intel Gaudi 3 is scheduled to be accessible to OEMs in the second quarter of 2024, including Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro.

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