Utilizing Tech - The Podcast Series about New and Emerging Technologies

Although the emergence of CXL in server CPUs is big news, the inclusion of this technology in ARM processor IP is just as important. In this episode of Utilizing CXL, Eddie Ramirez of ARM joins Craig Rodgers and Stephen Foskett to discuss CXL in the ARM-powered ecosystem. ARM develops processor IP that is used in CPUs as well as supporting processors throughout the datacenter. We begin with a disc...

With both AMD and Intel supporting CXL in their newly-launched server platforms, it's worth taking a moment to consider what has been delivered to date. This special episode of Utilizing CXL brings hosts Stephen Foskett, Craig Rodgers, and Nathan Bennett together to look back at 6 months of CXL announcements now that real products are shipping. We were pleased to see the support delivered by Intel...

CXL is being rolled out in production and more reliability, scalability, and security features are being added all the time. This episode of Utilizing Tech focuses on enterprise-grade CXL with John Spiers, CEO of IntelliProp, talking about the ongoing evolution of CXL. IntelliProp is bringing a CXL fabric solution to market the enables memory expansion outside the server over a fabric. CXL 3.0 int...

Cloud architects have long wished for more flexibility in how memory is provisioned in servers, and CXL is finally delivering on a decade of promises. In this episode of Utilizing Tech, Stephen Foskett and Craig Rodgers talk to Dan Ernst of Microsoft, who is deeply involved in bringing CXL-attached memory to fruition within Azure. Dan was previously involved in the Gen-Z effort, and feels that CXL...

As 2023 arrives, so do two server platforms that support CXL, along with associated chipsets, software, and memory expansion cards. This special episode of Utilizing Tech features the three hosts of this season, Stephen Foskett, Craig Rodgers, and Nathan Bennett, discussing the prospects for CXL in 2023. AMD recently introduced Genoa Epyc, featuring CXL and PCIe 5, and it is widely expected that I...

The key to building an ideal server is balance, and this is why CXL is important, since it helps overcome the inflexible nature of modern server architectures. In this episode of Utilizing CXL, Stephen Foskett and Craig Rodgers talk with Ahmad Danesh of Astera Labs about the company's CXL-based memory expansion technology. Although there are many CXL memory expansion chips coming to market, the in...

CXL couldn't be utilized until there was a server platform that supported it, so we're very excited to see AMD launch their next-generation Epyc server platform, code-name Genoa. In this episode of Utilizing CXL, Stephen Foskett and Craig Rodgers talk with Mahesh Wagh of AMD and the CXL Consortium about this important release. The first step to bring CXL to market is to prove it is functional and...

A lot of VMware’s initiatives are in the same sphere as CXL, and now everybody is wondering if VMware is officially camp CXL. In this episode of Utilizing CXL, Stephen Foskett and co-host Craig Rodgers join Arvind Jagannath from VMware to hear it straight from the horse’s mouth. Learn if CXL is on the horizon for VMware as it is for a lot of IT companies of its stature, and what VMware’s role is i...

Today's AI and ML systems use proprietary interconnects, which limits the choices available to customers. CXL technology promises to enable greater interoperability, and this is the focus for Xconn Technology. In this episode of Utilizing CXL, Gerry Fan of Xconn joins Stephen Foskett and Craig Rodgers to discuss the ways that CXL can improve machine learning processing. The CXL Consortium is worki...

Experts call CXL the lifeblood of composable datacenter infrastructure, and for good reason. It has unlocked tremendous possibilities and is reshaping the server architecture for good. Over 190 companies including some of the biggest names in the industry are involved in it, and as new versions of CXL are rolling out, the technology is clearly taking steps towards maturity. But the market needs mo...

Although x86 servers have some configuration and expansion options, they are increasingly monolithic, putting customers at the whim of the system vendor. CXL promises to change this, allowing customers to configure, and reconfigure, servers according to their needs. On this episode of Utilizing CXL, Ryan Baxter of Micron Technology joins Stephen Foskett and Nathan Bennett to talk about the options...

Data throughput has grown in leaps and bounds with the advent of AI. But as COVID-era digital transformation left the existing systems stressed out, CXL arrived at the heels of that. The newest memory solution that has got everybody talking, CXL is full of promises for AI computing. With the release of v3.0, CXL has started to gather more steam. More companies are now dipping their toes in CXL wat...

The first CXL products have emerged, with Samsung delivering memory and storage expanders and MemVerge supporting big memory with their software. Stephen Foskett discusses these products with Julie Choi of Samsung, Steve Scargall of MemVerge, Shalesh Thusoo of Marvell, and George Apostol of Elastics.cloud to discuss current and emerging CXL products. This special episode of Utilizing CXL was recor...

The emerging CXL standard is making waves, promising big memory, new system architecture, and maybe even rack-scale computing. Utilizing Tech is switching focus from AI and ML to CXL for Season 4, and that means new companies, new technology and new hosts! Join Stephen Foskett as he introduces Utilizing CXL along with co-hosts Nathan Bennett and Craig Rodgers. Look for new episodes of Utilizing CX...

Frederic Van Haren and Stephen Foskett look back on all the subjects covered during Season 3 of Utilizing AI. The podcast covered many topics, from religious and ethical implications of AI to the technology that enables machine learning, but one topic that stands out is data science. If data is the key to AI, then the collection, management, organization, and sharing of data is a critical element...

How fast is your machine learning infrastructure, and how do you measure it? That's the topic of this episode, featuring David Kanter of MLCommons, Frederic Van Haren, and Stephen Foskett. MLCommons is focused on making machine learning better for everyone through metrics, datasets, and enablement. The goal for MLPerf is to come up with a fair and representative benchmark to allow the makers of ML...

The quality of an AI application depends on the quality of the data that feeds it. Sunil Samel joins Frederic Van Haren and Stephen Foskett to discuss DataOps and the importance of data quality. When we consider data-centric AI, we must consider all aspects of the data pipeline, from storing, transporting, and understanding to controlling access and cost. We must look at the data needed to train o...

Machine learning is unlike any other enterprise application, demanding massive datasets  from distributed sources. In this episode, Bin Fan of Alluxio discusses the unique challenges of distributed heterogeneous data to support ML workloads with Frederic Van Haren and Stephen Foskett. The systems supporting AI training are unique, with GPUs and other AI accelerators distributed across multipl...

With so many AI tools available, it can be a challenge to integrate everything into a productive platform. Orly Amsalem of cnvrg.io joins Frederic Van Haren and Stephen Foskett to discuss the challenges of managing data and resources for AI training, development, management, and deployment. Orly discusses her journey from software development to AI and the challenges people face. Many in the AI co...

As machine learning is used to market and sell, we must consider how biases in models and data can impact society. Arizona State University Professor Katina Michael joins Frederic Van Haren and Stephen Foskett to discuss the many ways in which algorithms are skewed. Even a perfect model will produce biased answers when fed input data with inherent biases. How can we test and correct this? Awarenes...

With AI technology changing so quickly, we often need to step back and take a big picture look at the market. In this episode, Manoj Suvarna of Deloitte joins Frederic Van Haren and Stephen Foskett to discuss the many products and applications of AI in the enterprise. It is important for business executives to survey the many ways that AI and data science are being applied across the enterprise an...

Data is the most important element of artificial intelligence, but how is that data managed and stored? In this episode of Utilizing AI, Adi Gelvan of Speedb goes deep under the hood to take a look at the data engine along with Frederic Van Haren and Stephen Foskett. Facebook's RocksDB provides the basic storage for many webscale projects, managing metadata in a massive scale. Because of the inher...

AI is everywhere, and so are AI accelerators, from CPU to GPU to special-purpose hardware. Eitan Medina, Chief Operating Officer of Habana Labs , an Intel Company, joins Frederic Van Haren and Stephen Foskett to discuss the various specialized AI processors being developed today. Habana Labs has created a special-purpose AI training and inferencing processor with many unique features. Since deep l...

Among many surprising applications, AI can be used for pain management and medical care. Neuroscientist Sara E. Berger of IBM joins Chris Grundemann and Stephen Foskett to discuss applications of machine learning in medical care. Pain management is a deeply personal field, but there are so many different data points that it can be difficult to see patterns that lead to positive outcomes. Machine l...

BrainChip's neuromorphic AI technology has long been the talk of the industry, and now the Akida processor is available for purchase. We invited Rob Telson, VP of Worldwide Sales for BrainChip, to return to the Utilizing AI podcast to give Chris Grundemann and Stephen Foskett an update on the Akida processor. As of today, Akida is available for use by developers and hobbyists to explore neuromorph...