Granite Rapids In an ever-evolving technology landscape, enterprise IT managers must consider many factors when selecting hardware, including performance vs. power efficiency, security and compliance, scalability and future proofing, cloud vs. on-prem, total cost of ownership (TCO), and more. Choosing the right processor is crucial to optimizing performance, efficiency, and cost—for any deployment model. One feature that can help boost performance and efficiency, offered across nearly all AMD EPYC™ processors, is simultaneous multithreading (SMT), which allows a single physical CPU core to execute multiple threads simultaneously.

IT leaders are under pressure to manage shrinking budgets, optimize compute-intensive AI workloads, and implement viable sustainability strategies.  These competing imperatives are not easily rationalized!  Together AMD and Nutanix can help your IT department overcome these and other challenges.  This blog post briefly illustrates how Nutanix Hyperconverged infrastructure (HCI) and virtualization software running on AMD EPYC™ processors will help you lower software licensing costs, optimize workload performance and reduce your carbon footprint. 

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.