The AI hype cycle drove enterprises to stockpile GPUs—but now what? In this episode of the AI Proving Ground Podcast, Chris Braun and Andy Moser explore how organizations are leveraging their GPU investments, the role of fractional GPUs and the evolving skill sets IT teams need to optimize AI workloads. Chris and Andy also discuss GPU power and cooling considerations and what's next in AI computing. Are GPUs still the future, or will new architectures take over? Tune in to find out.
Learn more about this week's guests:
Chris Braun brings over 20 years of IT experience across roles such as Helpdesk, Systems Administrator, and Technical Architect. Currently a Technical Solutions Architect at the ATC, he evaluates a wide range of technologies including hyper-converged infrastructure, SDDC, networking, and more.
Chris's top pick: Hands-On Lab Workshop: Liqid Disaggregated Composable Infrastructure
Andy Moser is a Solutions Architect with deep expertise in IT infrastructure, specializing in next-generation data center and cloud solutions for large enterprises. At World Wide Technology's Advanced Technology Center, he designs complex proof of concepts, leveraging his knowledge in compute, virtualization, and automation across leading OEM technologies to support customers and field sales teams.
Andy's top pick: A Deep Dive into AWS and NVIDIA NIM Integration
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.
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