Unlock AI Power with AMD EPYCTM Processors – Join Our Webinar!

A Webinar You Can't Miss! [AMD | Meet the Experts](/ODg1LVpZVC0zNjEAAAGVD01ecnxqUSbyZGBV4GtDo0qHtW3vukkL35MZx9gBLge4Wj5sSVmGlUiuIgw-SPy2NJhBvVM=) [View Online]() LIVE SESSION Unlock the Power and Innovation of AI Inference with AMD EPYC™ Processors Tuesday, August 27 | 12 PM CT | 45 min [REGISTER NOW]() Who Should Attend? ● IT professionals looking to modernize data centers and expand into AI/ML. ● Developers seeking an efficient processor for AI inference and small model workloads. ● Industry leaders interested in leveraging AI to transform their business operations. Can't make it to the live webinar? [Register anyway]() and we'll send you the link to watch on-demand. Dear {NAME}, AI-driven innovation is more attainable for your business than you may think. Join us for an exclusive webinar where we delve into the world of AI powered by AMD EPYC™ processors. Discover how AMD cutting-edge technologies are revolutionizing AI-enabled applications across industries, from healthcare to automotive, and beyond. We’ll explore AMD EPYC™ processors, and how they bring AI into the heart of your business by delivering leadership performance across AI inference, machine learning and small/medium AI model development workloads. Going beyond performance, we’ll also explore how these cutting-edge processors enable fast, efficient AI-enabled solutions close to your customers and your data, as well as exploring the range of AI-infused workloads supported by AMD leadership portfolio. Join AMD expert Jim Greene as he unveils performance improvements of up to 65% with 4th Gen AMD EPYC™ processors in TPCx-AI SF30 and increases of 72% average higher inference FPS per CPU watt (and a max of 2.4x improvement) in OpenVINO compared to competitor x86 products, and uncompromising software compatibility for even higher levels of performance and efficiency in your day-to-day business.1,2 SPEAKER Jim Greene Director of Server Product Marketing AMD [REGISTER NOW]() Tuesday, August 27 | 12 PM CT | 45 min Follow AMD [Facebook]() [Instagram]() [LinkedIn]() [Twitch]() [Twitter]() [YouTube]() Visit the [AMD Partner Hub]() for the latest sales tools and marketing material. 1. TPCx-AI SF30 derivative workload comparison based on AMD internal testing running multiple VM instances as of 4/13/2024. The aggregate end-to-end AI throughput test is derived from the TPCx-AI benchmark and as such is not comparable to published TPCx-AI results, as the end-to-end AI throughput test results do not comply with the TPCx-AI Specification. AMD system configuration: Processors: 2 x AMD EPYC 9654; Frequencies: 2.4 GHz | 3.7 GHz; Cores: 96 cores per socket (1 NUMA domain per socket); L3 Cache: 384MB/socket (768MB total); Memory: 1.5TB (24) Dual-Rank DDR5-5600 64GB DIMMs, 1DPC (Platform supports up to 4800MHz); NIC: 2 x 100 GbE Mellanox CX-5 (MT28800); Storage: 3.2 TB Samsung MO003200KYDNC U.3 NVMe; BIOS: 1.56; BIOS Settings: SMT=ON, Determinism=Power, NPS=1, PPL=400W, Turbo Boost=Enabled; OS: Ubuntu® 22.04.3 LTS; Test config: 6 instances, 64 vCPUs/instance, 2663 aggregate AI use cases/min vs. Intel system configuration: Processors: 2 x Intel® Xeon® Platinum 8592+; Frequencies: 1.9 GHz | 3.9 GHz; Cores: 64 cores per socket (1 NUMA domain per socket); L3 Cache: 320MB/socket (640MB total); Memory: 1TB (16) Dual-Rank DDR5-5600 64GB DIMMs, 1DPC; NIC: 4 x 1GbE Broadcom NetXtreme BCM5719 Gigabit Ethernet PCIe; Storage: 3.84TB KIOXIA KCMYXRUG3T84 NVMe; BIOS: ESE124B-3.11; BIOS Settings: Hyperthreading=Enabled, Turbo boost=Enabled, SNC=Disabled; OS: Ubuntu® 22.04.3 LTS; Test config: 4 instances, 64 vCPUs/instance, 1607 aggregate AI use cases/min. Results may vary due to factors including system configurations, software versions and BIOS settings. TPC, TPC Benchmark and TPC-C are trademarks of the Transaction Processing Performance Council. SP5-051A. 2 .Third-party testing OpenVINO 2023.2.dev FPS comparison based on Phoronix review [www.phoronix.com/review/intel-xeon-platinum-8592/9](=/ODg1LVpZVC0zNjEAAAGVD01ecnxqUSbyZGBV4GtDo0qHtW3vukkL35MZx9gBLge4Wj5sSVmGlUiuIgw-SPy2NJhBvVM=) as of 12/14/2023 of select OpenVINO tests: Vehicle Detection FP16, Person Detection FP16, Person Vehicle Bike Detection FP16, Road Segmentation ADAS FP16 and Face Detection Retail FP16. Testing not independently verified by AMD. Scores will vary based on system configuration and determinism mode used (Power Determinism used). OpenVINO is a trademark of Intel Corporation or its subsidiaries. SP5-252. © 2024 Advanced Micro Devices, Inc. All rights reserved. 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