Marvell showcases AI innovations at OCP 2025

🚀 Innovation for the AI Era As AI compute clusters scale at unprecedented speed, the foundation they’re built on must evolve just as rapidly. At Ruijie Networks, we’ve achieved a major leap in switching technology with our latest breakthrough, the S9910 series 128-port 800G switch. This isn't just a new product, it's a new standard for high-performance, sustainable, and intelligent AI networking. Key breakthroughs include: ✅ 128×800G high-density ports supporting Ruijie’s self-developed LPO silicon photonics modules ✅ Two-tier architecture supports up to 30,000 cards per plane, reducing devices by up to 40% vs. traditional 400G setups ✅ Dual cooling support (air and liquid) to match any data center environment ✅ Industry-leading ENLB traffic balancing, improving training efficiency by 8%–18% on large-scale models like Llama2-70B ✅ Native UEC compatibility for a lossless, high-performance network fabric With this technological foundation, we’re empowering AI data centers to scale faster, run more efficiently, and operate more reliably, paving the way for what's next in AI computing. Looking to future-proof your AI infrastructure? Connect with our network experts and discover more. Connect with Us ➡️ https://lnkd.in/gVQ2kAW5 #Ruijie #NetworkSolution #AI #DCN #DataCenter #Switches #Performance #AI

GMIF (Global Memory Innovation Forum) 2025: AI in Memory × Storage 💡 At GMIF 2025 in Shenzhen, memory and storage technology took center stage, highlighting the critical role of AI-optimized architectures. Modern AI workloads are memory-hungry, requiring not just compute but fast, efficient access to massive datasets. Companies like Micron and SK Hynix are exploring compute-storage convergence, where memory modules and storage units work closely with processors to reduce energy consumption and latency. This approach helps AI systems: 🔹 Handle large-scale models efficiently 🔹 Reduce data movement bottlenecks 🔹 Cut overall power consumption Memory-centric architectures are becoming essential for data centers, edge devices, and AI accelerators. Micron and SK Hynix emphasized that intelligent memory integration is key to sustaining the AI boom. The combination of AI and storage innovation promises: 🔹 Higher throughput for massive datasets 🔹 Modular design for scaling AI workloads 🔹 Energy savings that benefit both cost and sustainability This trend is reshaping how we think about hardware for AI, prioritizing balance between compute and memory over raw processing power alone. As AI applications grow, the demand for smarter memory solutions will only accelerate, making the collaboration between memory vendors and AI innovators crucial. GMIF 2025 clearly demonstrates that memory + storage = AI performance multiplier. #MemoryAI #SKHynix #Micron #GMIF2025 Source: https://lnkd.in/dz-eHZPh Micron Technology SK hynix

⚙️ Tech News Today: Smarter AI Connections! Big move from Cisco! 🚀 They just introduced the P200 chip, a breakthrough designed to connect AI data centers up to 1,000 miles apart — faster, greener, and more efficient than ever. 🌐💡 ✅ What it means: • Less power consumption ⚡ • Faster data sync across massive workloads • More reliable performance for AI at scale This chip replaces multiple traditional processors, creating a smoother and more sustainable way to power AI across long distances. 🌍 The future of AI networking just got smarter — and greener! #TechNews #Cisco #AI #Innovation #DataCenters #Networking #TechTrends

Enterprises today are racing to adopt AI securely and at scale. The Cisco Secure AI Factory, developed with ‪@NVIDIA‬ and strategic partners, provides the foundation to make that possible. By integrating advanced high performing stack - AI infrastructure - Embedded security - AI software tools Together this solution enables organizations to operationalize AI and GenAI pipelines efficiently—transforming enterprise data into meaningful business outcomes. Explore how Cisco and NVIDIA are driving the next phase of secure AI innovation: Cisco and NVIDIA Overview → https://lnkd.in/de3zwrZB Scaling AI in the Enterprise → https://lnkd.in/dvv93_8K Cisco and NVIDIA Advance Security for Enterprise AI Factories → https://lnkd.in/dfuWN_mR

Today's read: OpenAI, Broadcom Partner to Develop 10 Gigawatts of Custom AI Accelerators 📣 https://lnkd.in/guJAicRE OpenAI and Broadcom announced a collaboration for 10 gigawatts of custom AI accelerators. OpenAI will design the accelerators and systems, which will be developed and deployed in partnership with Broadcom. … Read the full story by visiting the link above ⬆️ Never miss a beat in telecoms. Catch the latest news on The Fast Mode 🚀 #telecoms #tech #innovations #5G #technology

Edge Computing is not just a shift in data processing;  It's a game-changer in decision-making for modern businesses. This post dives into the basics of Edge Computing! https://lnkd.in/g3M2zESg #EdgeComputing #Industry40 #DigitalTransformation #Innovation #TechnologyStack #Technology -------------------------------------------------- Stay Ahead of the Tech Curve! Subscribe to my newsletter and receive the latest news, insights, and trends in AI, Edge Computing, Industry 4.0, and IIOT.    🔴 Subscribe ➤ https://lnkd.in/dyE6phT3

During TSMC’s North America Open Innovation Platform (OIP) Ecosystem Forum, Alchip Technologies unveiled a CPO solution that delivers easier scaling of AI datacentres. Read more here: https://lnkd.in/ec9T--f4 #AIDataCenters #CoPackagedOptics #SemiconductorInnovation

Core Technologies Powering AI-Driven 5G Networks 5G made networks faster, but AI made them smarter. Speed alone isn’t enough anymore. Modern networks must think, predict, and heal themselves, and that’s where AI becomes the real game-changer. From optimizing traffic at the edge to predicting outages before they happen, AI is the silent engine driving the 5G revolution. Here is the breakdown : 1️⃣ Edge Computing – Brings computation closer to devices for ultra-low latency and real-time intelligence. 2️⃣ Open RAN (Radio Access Network) – Uses AI to optimize coverage, lower cost, and enhance call quality. 3️⃣ Software-Defined Networking (SDN) – Centralizes network control so AI can reroute traffic instantly during congestion. 4️⃣ Network Function Virtualization (NFV) – Replaces rigid hardware with adaptive, AI-powered virtual functions. 5️⃣ Digital Twins – Create virtual replicas of 5G environments to simulate, test, and prevent failures before they occur. 6️⃣ Cloud-Native Architecture – Enables scalable, container-based deployment for AI-enhanced 5G ecosystems. 7️⃣ AIOps (AI for IT Operations) – Detects, diagnoses, and heals network faults autonomously, keeping uptime near perfection. 🌐 5G connected the world. AI is making it intelligent. ✨ Follow Abhishek Singh for visionary insights on how 5G, AI, and network innovation are reshaping industries, empowering communities, and building the intelligent networks of tomorrow. #5G #AI #Telecom #EdgeComputing #OpenRAN #NFV #SDN #DigitalTwin #AIOps #CloudNative #Telecommunications #NetworkInnovation

Great conversation with CNA as we launched the 2025 Cisco AI Readiness Index and talked about where APJC companies stand in their AI readiness. Companies that continue to invest steadily in AI – not treating it as an add-on but as a core business capability and embed security into the infrastructure – are already better positioned for financial performance and operational resilience. The most AI-ready companies (about 13%) are moving quickly from proof of concept to production with the discipline to measure real impact on business. For many others, the challenge is catching up. What comes through from this year’s findings is how fast AI Infrastructure Debt is growing. Workloads are increasing faster than capacity, GPUs are stretched, and data remains fragmented. Most companies plan to deploy AI agents within a year, yet more than half admit their infrastructure isn’t built for the scale and complexity AI now demands. That gap doesn’t just slow innovation, it limits the ability to turn ambition into real impact. These insights couldn’t be more timely as we head into Partner Summit and Cisco Live Melbourne, where conversations around AI readiness and infrastructure will take center stage. Watch the full interview here: https://lnkd.in/gUqHSsq7

Check out our 2025 AI Readiness Index and get the insights on what it takes to turn AI ambition into real impact: 💡 https://lnkd.in/g_ECfHPa