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.

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. 

Rebecca Weekly, vice president of infrastructure at Geico, is part of the leadership team overseeing digital transformation for the country's second-largest car insurer.  Rebecca kindly shared some of her experiences with the AMD EPYC TechTalk podcast series. The full interview can be heard here, it is a great listen. You can also find highlights from the interview below.

Chaos develops 3D visualization technology for architecture, engineering, construction, product design, manufacturing, and media and entertainment. The company’s software solutions run on and are optimized for AMD EPYC processor-based systems. I’m happy to be able to share some highlights from our discussion in this brief blog post.  You can listen to the full podcast here.   

Look beyond the hype. AMD EPYC Processors outperform the NVIDIA Grace CPU Superchip across key workloads without compromises and expensive architectural transitions.

The confluence of high performance, highly efficient hardware and market leading, run-the-business software means productivity and innovation.  Ashish Ray of Oracle recently joined the AMD TechTalk podcast to share his thoughts on technology and business.  This article provides a summary of some of his key points.

Our industry is rife with hyperbole and hard-to-defend and hard-to-replicate claims. AMD takes a different and more transparent approach. AMD EPYC servers make your Datacenter AI-Ready by improving performance and power efficiency without compromises, and with published numbers that speak for themselves.