AMD EPYC Processors Scaling to New Heights at SC’24

Supercomputing 2024 has become a stage where technology leaders showcase innovations that push the boundaries of performance, efficiency, and scalability with announcements of the world’s largest superco

As the leader in silicon-to-systems design solutions, including electronic design automation (EDA) tools, an impressive portfolio of silicon-proven semiconductor intellectual property (IP), and pre-silicon hardware-assisted verification solutions, Synopsys is a key provider to drive semiconductor innovation.  Such contributions have broad impact to help the industry meet the unprecedented demands of high-performance computing, artificial intelligence (AI), and ever-upgrading devices and software.

In a recent AMD Tech Talk podcast hosted by AMD’s Jim Greene, Synopsys’ Senior Director of Product and Solutions Marketing, Todd Koelling, explained how Synopsys’ tools and expertise are enhanced with AI capabilities to empower semiconductor and systems companies to develop increasingly complex, yet energy-efficient AI processors, GPUs and accelerator chips. In this brief blog post, we’ll look at what Synopsys does and how AMD and Synopsys have collaborated in multiple areas to deliver state-of-the-art, high-complexity, energy-efficient chips.

Unlock the Full Potential of AI with a Robust Infrastructure: Meeting modern demands in the age of artificial intelligence requires a solid foundation and a tailored approach to infrastructure. In this blog post, we explore key insights from IDC's latest white paper and discuss strategies for building AI-ready infrastructure that accelerates innovation, optimizes performance, and helps ensure data security. Learn how to balance computing resources, adopt effective hybrid cloud strategies, and leverage AMD EPYC™ processors for high-performance, energy-efficient solutions. Embrace the future of AI with confidence – read the full article to discover the balanced approach that can transform your business.

Choosing the right infrastructure when deploying AI for business use cases is key. As the complexity of AI workloads increases, enterprises need to make informed decisions about memory footprint and compute capabilities, especially when dealing with multimodal AI that requires multiple models working together.  I recently had the pleasure of talking with Steen Graham of Metrum Ai about solving real-world AI challenges and the future of enterprise AI for the AMD EPYC TechTalk podcast series, available here. You can also find highlights from the interview below.  

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.

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.

Artificial Intelligence (AI) has transitioned from a futuristic notion to an integral part of our daily lives that influences everything from personalized streaming recommendations to advanced healthcare diagnostics. Its widespread adoption is transforming industries, boosting productivity, and enhancing user experiences across various sectors. AI simplifies complex tasks and reshapes how we live, work, and engage with technology.