The momentum surrounding the 5th generation of AMD EPYC™ processors has exceeded all expectations. My previous blog explored enterprise and cloud workloads. Now, as promised, I’m excited to follow up and explore how these processors are transforming HPC and AI. Let’s take a closer look at how 5th Gen AMD EPYC processors accelerate performance in these critical areas.

• When AMD introduced the 1st generation of the AMD EPYC™ processor, we redefined what was possible. Previous, monolithic approaches to processor design were shuffled off the stage in favor of innovative approaches to meet the ever-increasing demands of modern datacenters.

Each successive generation of AMD EPYC processors has delivered both incremental and step-function levels of improvement in performance, scalability and energy efficiency. With the launch of the highly anticipated 5th generation based on AMD “Zen5” and “Zen5c” processor cores, I can confidently state that the AMD legacy of innovation and leadership is secure.

I'm thrilled to talk about an important addition to the AMD EPYC server processor family: 4th Gen AMD EPYC™ 4004 Series Processors. Large enterprises, demanding data centers, supercomputers, and hyperscalers have come to rely on the robust performance and scalability of AMD EPYC 7000, 8000, and 9000 Series Processors. By contrast, AMD EPYC 4004 Series Processors targets dedicated hosting providers and small businesses seeking cost-effective solutions for entry-level server workloads. These processors feature low core counts, Thermal Design Power (TDP) as low as 65 watts, and competitive pricing while maintaining the performance, scalability, and reliability expected from the AMD EPYC product line. This blog delves into some of the workloads for this market segment and the performance benefits offered by AMD EPYC 4004 processors.

AMD's new power management tools for EPYC 9004 and 8004 series CPUs offer IT directors more granular control over data center performance and power efficiency allowing users:

• Workload Optimization: The tools allow for fine-tuning of individual workloads to match their specific needs, ensuring optimal performance and energy consumption.
• Telemetry and Parameters: Telemetry agents gather real-time data, and pre-set parameters can be adjusted to control variables like heat, performance, power, and core idle states.
• Component Level Control: The EPYC architecture enables precise control of components like memory controllers, I/O subsystems, and CPU cores for peak efficiency.
• Customizable Power Settings: Features like configurable thermal design power (cTDP) and frequency boost allow for tailored power consumption settings.

AMD EPYC 4000 and AMD Alveo Ethernet adapters: An ideal combination for High Frequency Trading

 At AMD, we believe our EPYC processors are the world's best data center CPUs. AMD EPYC now boasts more than 300 world records for performance and efficiency on premise and in the cloud. Did you know, however, that more than 50 of those records are in data management and analytics? This means that when it comes to running the world's most mission-critical, foundational business functions, there's no better choice than AMD EPYC. 

Supermicro is one the world's premier producers of servers and storage systems, as well as a top provider of fast and efficient AI infrastructure. Linda Yang, a Supermicro senior solution manager, recently joined me on the AMD TechTalk podcast to discuss how the rapid evolution of AI models and workloads is driving change in AI infrastructure. I'm pleased to share highlights from the conversation in this blog post. You can listen to the full podcast here.

BeeKeeperAI operates a privacy-preserving, confidential computing platform that protects data and enables secure collaborations. At a time when security threats seem ubiquitous, BeeKeeperAI, with the help of security technologies built into AMD EPYC processors, help safeguard data. I had a great time speaking with Alan Czeszynski, BeeKeeperAI's marketing and product development leader. The full podcast can be accessed here.     

I recently had the pleasure of speaking about the future of AI, large language models (LLM) and retrieval augmented generation (RAG) with my colleague, Meena Arunachalam,  AMD AI Systems Engineering Director and Fellow. We were able to pack a lot into our discussion, so I have highlighted just a handful of Meena’s invaluable insights and recommendations in this blog post.  For more detail, you can listen to the podcast here . 

A pile of money may lay hidden in supply chains across a range of global industries, says Bob Rogers, CEO and Co-Founder of Oii.ai. As a longtime security person, I really enjoyed speaking to Bob recently for the AMD EPYC TechTalk podcast series about Oii.ai's efforts to help clients uncover value in their supply chains via AI-powered automation. Bob's diverse background as a technologist, scientist and entrepreneur make him can't-miss listening. He earned a PhD in Physics from Harvard University, where he built simulations of black holes, a task not unlike what Oii.ai does today! Bob also participated in creating the world's first FDA-cleared AI on an X-ray device. You can listen to our discussion here, or read some of the highlights below.