As organizations move beyond experimentation, compute has become a deciding factor in whether AI delivers real value or stalls before production. In this episode of the AI Proving Ground Podcast, WWT VP Neil Anderson, NVIDIA VP Chris Marriott and Cisco VP Daniel McGinniss talk about how organizations are rethinking where AI runs, how it's secured and how value is measured.

As AI systems grow larger and more distributed, enterprises are discovering that performance, security and time-to-value depend less on individual components and more on how well the system moves, synchronizes and protects data at scale. In this episode of the AI Proving Ground Podcast, WWT's Justin van Schaik, Cisco's Dave Jansen and NVIDIA's Taylor Allison talk about how a well-designed network fabric extends time to value and decreases risk for AI initiatives.

As enterprises rush to deploy AI, observability is emerging as the discipline that determines whether those investments create durable value—or quietly erode it. In this episode of the AI Proving Ground Podcast, WWT's Ivan Wintersteiger, Cisco Splunk's Tapan Shah and NVIDIA's Shashank Sabhlok discuss why observability, when treated as foundational, becomes the connective tissue between infrastructure, applications, security and user experience.

Leadership generative AI accelerators and data center APUs

Outpace AI's Data Center Demands with Schneider Electric

Optimized for AI, Dell PowerScale plays a critical role in powering performance-intensive use cases providing a scalable storage platform that meets organizations at their business needs.

Discover how AMD and VMware are transforming enterprise AI and data center efficiency. Learn how their partnership leverages high-performance AMD CPUs and DPUs to unlock secure, scalable infrastructure for next-generation workloads.

Phillip Hendrickson, a leader in high-performance computing and artificial intelligence, is leveraging his PhD in computational neuroscience to reshape how we approach data analytics and generative AI workloads. In his latest insights, Hendrickson emphasizes the pivotal role of infrastructure in optimizing performance, advocating for a principle-based method to accurately size computing resources based on performance metrics and the complexities of neural networks. Central to his vision is the AI Proving Ground initiative, which includes a cutting-edge sizing tool designed to recommend the most suitable accelerators for various AI tasks. Hendrickson's work is further illustrated through compelling case studies that showcase how different AI models meet specific operational demands, paving the way for enhanced efficiency and innovation in the field. As AI continues to evolve, his strategies offer a crucial roadmap for organizations seeking to harness its full potential.

Intel's latest Xeon 6 processor delivers improved AI workload performance and increased memory bandwidth.

The Intel® Gaudi® 3 Al accelerators provide enterprises with efficient performance, flexibility and scale.