Product & Technology - Supermicro and AMD collaborate to provide advanced and energy-efficient solutions for training, inferencing, edge computing, and telco applications [1] - Supermicro offers liquid-cooled systems for AI training and inferencing, supporting Turin and Genoa processors, as well as MI300X and MI325X GPUs [2] - Supermicro also provides air-cooled systems based on Turin processors and MI325X GPUs [2] - Supermicro's 8-way system is the highest-performing platform based on AMD [3] - Supermicro offers compute and storage platforms based on Turin processors, supporting high-frequency, medium-core count (32 or 64 cores), and massive core count applications in 1U and 2U form factors [4] - Supermicro's storage solutions leverage 128 lanes of PCI Express Gen 5 for high performance [5] Market Focus - Supermicro provides platforms for standard compute and storage, catering to various ISVs for scale-out and standard storage [5] - Supermicro offers platforms suitable for AI, standard compute, and storage, with options for air-cooled or liquid-cooled systems [6] - Supermicro emphasizes efficient and fast time-to-market solutions [6]

Performance Improvement - AMD's 5th generation EPYC offers a 75% performance uplift compared to the 4th generation in Ericsson packet core solutions [1] - AMD's solutions provide a 40% power efficiency benefit generationally [2] Partnerships and Solutions - Ericsson's packet core is available on both 4th and 5th generation AMD EPYC [1] - Nokia appliance on AMD packet core is available on 2nd, 4th and 5th generation EPYC [2] - ZTE offers packet core solutions [2] Market Presence - AMD is showcasing packet core solutions at MWC 2025 [1] - Ericsson and Nokia are exhibiting their solutions at MWC [1][2]

Industry Focus & Participation - The Mobile World Congress (MWC) is a key event for the telecommunications industry [1] - AMD has a diverse product portfolio enabling participation with OEMs, packet core providers, and operators in the telecommunications sector [1] Partnership & Technology - AMD collaborates with KDDI at MWC, showcasing technologies in life transformation [2] - The collaboration between AMD and KDDI utilizes AMD EPYC technology [3] - The partnership leverages AMD EPYC technology for its performance capabilities [3]

AMD's EPYC CPU in Telecommunications - AMD focuses on telecommunications with its EPYC CPU product line, showcasing innovations in packet core and RAM [1] - AMD has been collaborating with Ericsson and Nokia for over two years on multiple CPU generations [1] Value Proposition - AMD's EPYC CPUs offer a high core count, enabling significant throughput and reduced power consumption in the packet core [2] - Lower power consumption is particularly important for European carriers focused on sustainability [2] - AMD's fourth-generation product, Sienna, is an optimal edge platform that supports software-only RAM [3] - Sienna eliminates the need for accelerators, simplifying the Bill of Materials (BOM) [4] - This simplified BOM aligns with the goals of open RAN and NFV (Network Functions Virtualization) [4] Market & Partnership - Telecommunications industry regulations and testing certifications cause slow deployment [5] - AMD is starting to see real network deployments with major carriers, underpinned by partnerships with TEMs (Telecom Equipment Manufacturers) [5]

Solution Overview - AMD presents an EPYC private cloud solution designed to consolidate telco, back office, and AI infrastructures, aiming for cost reduction, opportunity creation, and optimization [2][3] - The solution is built based on customer requirements, demonstrating telco performance, regulatory compliance, cost-effectiveness, and the ability to add next-generation workloads [4][5] - AMD showcases the ability to run AI workloads safely on the same hardware as telco operations, ensuring phone calls can be delivered reliably [6] Performance and Scalability - The solution demonstrates scalability by supporting 45 to 128 users with latency under 100 milliseconds, even with increasing token loads [8] - The solution scales from 5 million packets per second to 25 million packets per second, with zero dropped packets, indicating high quality [11][12] - AMD's solution achieves a 39% TCO reduction over five years for a small cell site [12] Power Efficiency and Optimization - The solution optimizes power consumption based on diurnal patterns, utilizing 64 cores 48% of the time, 2P cores 35% of the time, and 256 cores 17% of the time [13][14][15] - AMD's solution can save 68% over running a traditional two-core, two-system cluster [13] - AMD leverages Kubernetes power management to dynamically adjust CPU power consumption based on traffic load, potentially reducing power from 500 watts to 100-300 watts per processor during low traffic [21][22] Technology and Open Source - AMD emphasizes the importance of performance, efficiency (TCO, power), and scalability, highlighting the EPYC architecture [17] - AMD highlights its investment in open source, particularly within the Linux Foundation and CNCF, contributing to Kubernetes power management [19][20][21]

Partnership & Technology - Ericsson emphasizes the importance of high-performing and programmable networks for enabling new business models through differentiated connectivity and network APIs [1][2] - Cloud and AI technologies are key enablers for Ericsson's network revolution [2] - Ericsson and AMD have a strong partnership, starting with fourth-generation EPYC and transitioning to fifth-generation EPYC technology [2][3] Performance Improvements - Ericsson observed significant improvements with fourth-generation EPYC in performance, hardware footprint, and energy consumption [3] - Fifth-generation EPYC offers further improvements in performance, hardware footprint, and energy consumption [4] Future Outlook - More advancements and developments are expected in the future for Ericsson and AMD's partnership [4]

AMD at Mobile World Congress 2025 Discover more: https://www.amd.com/en/solutions/telco-and-networking.html *** Subscribe: https://bit.ly/Subscribe_to_AMD Join the AMD Red Team Discord Server: https://discord.gg/amd-gaming Like us on Facebook: https://bit.ly/AMD_on_Facebook Follow us on Twitter: https://bit.ly/AMD_On_Twitter Follow us on Twitch: https://Twitch.tv/AMD Follow us on LinkedIn: https://bit.ly/AMD_on_Linkedin Follow us on Instagram: https://bit.ly/AMD_on_Instagram ©2025 Advanced Micro Devices, In ...

AI Innovation & Open Platform - AMD emphasizes the importance of an open platform like AMD ROCm for driving AI innovation across industries [1] - The future of AI will be built collaboratively, not by a single company [1] - AMD is fostering AI progress by enabling developers to build on a flexible, open foundation [1] Strategic Partnerships & Collaboration - Mahesh Thiagarajan, EVP at Oracle Cloud Infrastructure, supports the open platform approach [1] - AMD is promoting collaboration to accelerate AI development [1] Legal & Trademark Information - The content includes a copyright notice for 2025 Advanced Micro Devices, Inc [1] - Mentions AMD trademarks and other trademarks for informational purposes [1]

AI Workload Challenges & Requirements - AI workloads differ from traditional cloud workloads due to the need for high throughput and low latency, especially in large language model training involving thousands of GPUs communicating with each other [2][3][4] - Network glitches like packet drops, congestion, or latency can slow down the entire training process, increasing training time and costs [3][5] - Networks must support small to large-sized clusters for both inference and training workloads, requiring high performance and reliability [8] - Networks should scale up within racks and scale out across data halls and data centers, while being autonomous and resilient with auto-recovery capabilities [9][10] - Networks need to support increasing East-West traffic, accommodating data transfer from various sources like on-premises data centers and other cloud locations, expected to scale 30% to 40% [10] OCI's Solution: Backend and Frontend Networks - OCI addresses AI workload requirements by implementing a two-part network architecture: a backend network for high-performance AI and a frontend network for data ingestion [11][12] - The backend network, designed for RDMA-intensive workloads, supports AI, HPC, Oracle databases, and recommendation engines [13] - The frontend network provides high-throughput and reliable connectivity within OCI and to external networks, facilitating data transfer from various locations [14] OCI's RDMA Network Performance & Technologies - OCI utilizes RDMA technology powered by RoCEv2, enabling high-performance, low-latency RDMA traffic on standard Ethernet hardware [18] - OCI's network supports multi-class RDMA workloads using Q-cure techniques in switches, accommodating different requirements for training, HPC, and databases on the same physical network [20] - Independent studies show OCI's RDMA network achieves near line-rate throughput (100 gig) with roundtrip delays under 10 microseconds for HPC workloads [23] - OCI testing demonstrates close to 96% of the line rate (400 gig throughput) with Mi300 clusters, showcasing efficient network utilization [25] Future Roadmap: Zeta-Scale Clusters with AMD - OCI is partnering with AMD to build a zeta-scale Mi300X cluster, powering over 131,000 GPUs, which is nearly triple the compute power and 50% higher memory bandwidth [26] - The Mi300X cluster will feature 288 gig HBM3 memory, enabling customers to train larger models and improve inferencing [26] - The new system will utilize AMD AI NICs, enabling innovative standards-based RoCE networking at peak performance [27]

Innovation doesn’t happen in isolation. It takes a village. Vik Malyala, Managing Director and President, EMEA, SVP Technology and AI at Supermicro, shares how open collaboration, with AMD and across the ecosystem, is key to bringing real value to customers and improving the human experience. #AdvancingAI *** Subscribe: https://bit.ly/Subscribe_to_AMD Join the AMD Red Team Discord Server: https://discord.gg/amd-red-team Like us on Facebook: https://bit.ly/AMD_on_Facebook Follow us on Twitter: https://bit.ly ...