FH Sales’ Post

Artificial intelligence has fundamentally changed the network switching landscape. AI requirements are driving foundational shifts in the industry roadmap—expanding the use cases for cloud switching semiconductors and creating opportunities to redefine the terrain. How will AI drive cloud switching innovation—and how is Marvell meeting the needs of tomorrow, today?  More on that in this blog post: https://mrvl.co/3XiRbWs

COMING SOON - April 30, 7am PT, 4pm CEST AI can accelerate the pace of automation and make networks more efficient. Are we there yet? Or is this going to happen sometime in the future? In our next Sparring Partners, Cristina Rodriguez at Intel Corporation will argue that we have all we need to move forward with AI and that, indeed, we have already started. She will tell us about projects that showcase the role of AI in multiple use cases through work she has been doing with Ericsson, AT&T, Deutsche Telekom, Vodafone and others. Register and join the conversation on April 30 at: https://lnkd.in/ejJ3iExs #automation #5G #openRAN #ORAN #cloud #virtualization #disaggregation #AI #GenAI #ML #RAN #OpenRAN #SparringPartners

In my recent article on The Fast Mode, I delve into the rapidly evolving landscape of the telecom industry, fueled by cutting-edge technologies like AI, cloud computing, and quantum computing. To stay ahead in this dynamic environment, Communication Service Providers (CSPs) must prioritize agility, innovation, and data-driven strategies. By embracing emerging trends and remaining adaptable, we can turn challenges into opportunities for growth. Read more about transformative potential of these advancements: https://lnkd.in/dftfWUyZ #TelecomIndustry #GenAI

AI and GenAI are driving growth in automation in wireless networks, that much is clear. But where will the change happen? Cristina Rodriguez at Intel Corporation has a simple answer: Everywhere. And in our discussion, we go from the core to the RAN, from the end-to-end networks to the chipset to explore how AI and GenAI are transforming and will continue to transform how we deploy and operate networks. https://lnkd.in/gseat8Wr #automation #5G #openRAN #ORAN #cloud #virtualization #disaggregation #AI #GenAI #ML #RAN #OpenRAN #SparringPartners

Avishai Sharlin's recent article on The Fast Mode explores the ever-evolving landscape of the telecom industry, driven by revolutionary technologies like AI, cloud computing, and quantum computing. To ensure a competitive edge in this dynamic environment, Communication Service Providers (CSPs) must prioritize agility, innovation, and data-driven strategies. By embracing emerging trends and maintaining adaptability, we pave the way for growth amidst challenges. Discover more about the transformative potential of these advancements:  https://lnkd.in/dugteu3J #TelecomIndustry #GenAI

AI is going to be pervasive in our networks and change the way we operate them end-to-end, in the edge, in the cloud, across functions, at different network layers. In this latest conversation with Cristina Rodriguez at Intel Corporation, we talk about the impact of AI in telecom, what we need to make it successful and what Intel is doing to ensure this is the case. As always, it was an engaging and wide-ranging conversation on all-things AI. You can now watch it or read it at https://lnkd.in/gseat8Wr #automation #5G #openRAN #ORAN #cloud #virtualization #disaggregation #AI #GenAI #ML #RAN #OpenRAN #SparringPartners

The storage infrastructure plays a critical role in AI applications. Scalable and efficient storage solutions are necessary for managing the ever-expanding volumes of data generated and consumed by AI systems. Cloud storage platforms and distributed file systems are indispensable for handling this data deluge. Moreover, robust networking infrastructure is vital for facilitating seamless communication and data exchange between distributed AI systems and devices. High-speed internet connectivity, low-latency networks, and edge computing capabilities are essential for enabling AI-powered applications, especially in scenarios where real-time responsiveness is paramount.

🚀 Exploring the Future of Private Wireless 🚀 Learn how Nokia, led by Harsha Bhat, Global CTO, is revolutionizing industries with private wireless, cloud, edge computing, and AI. Discover how these technologies combine to create mission-critical networks that drive innovation and efficiency across multiple sectors, as discussed with Andrew C. MacKenzie. Watch now to see how Nokia is shaping the future of connectivity! 🎥 #PrivateWireless #NokiaInnovation #5G #EdgeComputing #AI #TechTalk #Private5G

Great insight by ABI Research into 2024 technology trends. Intelligent Accelerators (aka IPU’s and SmartNICs) are a powerful and cost effective way to deliver a secure cloud edge and high performance reliable Ethernet connectivity needed for AI deployments of any size. #intelIPU #intelAInetworking https://lnkd.in/gnXGfbU7

🎤 Tune in tomorrow for Intel Vision 2024 to learn how #AI is driving business #transformation. See how Intel Corporation solutions from edge to #cloud securely unlock the power of data everywhere. Learn more: https://intel.ly/3xvHTLG #Intel #IntelVision