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.

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.  

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.

At this year's Red Hat Summit, we at AMD had our work cut out for us. That's because for the better part of its existence, Red Hat's OpenShift has been largely associated with Intel^® Xeon^® processors. And that's fair enough -- when OpenShift was first released in the early 2010s, Intel had little real competition in the server market. But as anyone in the tech industry knows, a lot can change in 10+ years. And a lot has!  The Summit was our opportunity to showcase just how much as evolved.

Among the favorite subjects here on the AMD EPYC TechTalk podcast series is artificial intelligence. We especially enjoy hearing about how enterprise companies are faring on their AI journeys. I recently had the pleasure of speaking with Robert Daigle, director & global AI business leader at Lenovo. Robert spoke about the state of AI in the enterprise and how his group helps companies find AI solutions for their particular business. Highlights from our talk are posted below.

I always enjoy learning from people who understand how essential collaboration is to innovation. Alan Benjamin, CEO of GigaIO, is one of those people--and he was kind enough to spend some time speaking with us on our AMD TechTalk podcast. GigaIO, a company that provides workload-defined infrastructure for AI and technical computing, made news last year by configuring 32 AMD Instinct MI210 accelerators to a single-node server called the SuperNODE. Up to then, accessing 32 GPUs required four servers equipped with eight GPUs apiece — as well as all the cost and latency associated with linking up all of that extra hardware. I've included some of the interview highlights in the blog post below.

As much as I love advocating for AMD EPYC technologies, I have a special fondness for sharing what our partners and customers have to say about working with AMD and the EPYC processor portfolio.  It is one of my priorities when selecting topics and guests for the AMD TechTalk podcast.  Paul Sun, of IronYun, recently joined the podcast and spoke with me about the growing opportunities in visual analytics — thanks to advancements in AI-vision applications, Edge computing and new hardware. I've included highlights from our chat in this brief blog.