Tech Field Day returns to Santa Clara, California on September 10–11 for AI Infrastructure Field Day 3, streaming live on the Tech Field Day website, LinkedIn, and Techstrong TV. The event features leading companies pushing the limits of performance, scalability, and AI innovation, starting Wedne...

Tomahawk 6 is the world’s first 102.4 Tbps Ethernet switch, designed to meet the demands of massive AI infrastructure. In this session, we’ll show how it enables both scale-up and scale-out networking, with unmatched bandwidth, energy efficiency, and congestion control. We’ll also debunk common m...

Tomahawk Ultra shatters the myths about Ethernet’s ability to address high-performance networking. In this session we will show how we added features for lossless networking, reduced latency and increased performance – all while maintaining compatibility with Ethernet.

The presentation introduce...

Jericho4 – Ethernet Fabric Router is a purpose-built platform for the next generation of distributed AI infrastructure. In this session, we will examine how Jericho4 pushes beyond traditional scaling limits, delivering unmatched bandwidth, integrated security, and true lossless performance—while ...

AI Ready Storage is data infrastructure designed to break down silos and give enterprises seamless, high-performance access to their data wherever it lives. With 73% of enterprise data trapped in silos and 87% of AI projects failing to reach production, the bottleneck isn’t GPUs—it’s data. Tradit...

The highest performing storage available today is an untapped resource within your server clusters that can be activated by Hammerspace to accelerate AI workloads and increase GPU utilization. This session covers how Hammerspace unifies local NVMe across server clusters as a protected, ultra-fast...

The Open Flash Platform (OFP) Initiative is a multi-member industry collaboration founded in July 2025. The initiative’s goal is to redefine flash storage architecture, particularly for high-performance AI and data-centric workloads, by replacing traditional storage servers with an open approach ...

Haseeb Budhani, CEO of Rafay Systems, begins by highlighting the confusion surrounding Rafay's classification, noting that people variously describe it as a platform as a service (PaaS), orchestration, or middleware, and he welcomes feedback on which term best fits. He then pivots to discussing t...

Rafay CEO Haseeb Budhani argues that to truly be considered a cloud provider, organizations must offer self-service consumption, applications (or tools), and multi-tenancy. He contends that many GPU clouds currently rely on manual processes like spreadsheets and bare metal servers, which don't qu...

Rafay, founded seven years ago, initially focused on Kubernetes but has evolved to address the broader challenge of simplifying compute consumption across various environments. Their solution aims to provide self-service compute to companies across verticals.

Rafay typically engages with compani...

Haseeb Budhani, CEO of Rafay Systems, discusses how the Rafay platform can be used to address AI use cases. The platform provides a white-label ready portal that allows end users to self-service provision various compute resources and AI/ML platform services. This enables cloud providers and ente...

Kevin Kamel, VP of Product Management at Mirantis, opened with a wide-ranging overview of the company’s heritage, its evolution, and its current mission to redefine enterprise AI infrastructure. Mirantis began as a private cloud pioneer, gained deep expertise operating some of the world’s largest...

Shaun O’Meara, CTO at Mirantis, presented the company’s approach to simplifying GPU infrastructure with what he described as a “GPU Cloud in a Box.” The concept addresses operational bottlenecks that enterprises and service providers face when deploying GPU environments: fragmented technology sta...

Shaun O’Meara, CTO at Mirantis, described the infrastructure layer that underpins Mirantis k0rdent AI. The IaaS stack is designed to manage bare metal, networking, and storage resources in a way that removes friction from GPU operations. It provides operators with a tested foundation where GPU se...

Shaun O’Meara, CTO at Mirantis, described the platform services layer that sits above the GPU infrastructure and is delivered through Mirantis k0rdent AI. The PaaS stack is organized around composable service templates that let operators expose training, inference, and data services to tenants. S...

Discover how CTERA addresses the complexities of hybrid cloud storage by enhancing operational efficiency and security, advocating a unified platform that extends from edge to cloud to manage increasing data demands. Practical use cases across various industries demonstrate how CTERA leverages AI...

This session offers insight into the seamless integration of AI within the CTERA Intelligent Data Platform. Embedded AI and analytic Enterprise Data Services are explored, along with the underlying data fabric that facilitates secure, global data connectivity and ensures high-performance access. ...

In this session, learn how the Model Context Protocol (MCP) tackles the challenges of utilizing unstructured data by providing seamless, permission-aware integration for AI models and data sources, eliminating the need for intricate custom connectors. Discover how this ‘USB for AI’ enables enterp...

Discover the obstacles that hinder AI adoption. What matters most? Data quality or quantity? Understand the strategy CTERA uses for curating data to create trustworthy, AI-ready datasets that overcome silos and security challenges, translating raw data into meaningful and actionable insights.

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The vast majority of enterprise AI initiatives fail to deliver ROI, not because of a lack of innovation, but due to a significant gap between development and production. This session will explore the “token economics” behind these failures and introduce HPE Private Cloud AI, a turnkey AI factory ...

The AI market is booming with innovation, yet a significant and costly gap exists between the proof-of-concept phase and successful production deployment. A staggering number of AI projects fail to deliver on their promise, often stalling in “pilot purgatory” due to fragmented tools, unpredictabl...

Many organizations find that their AI initiatives, despite early promise, fail to deliver a positive ROI. This can be traced to “token economics”—the complex and often unpredictable costs associated with consuming AI models, particularly in the public cloud. This session will dissect these hidden...

This session provides a live demonstration of a practical AI application built on top of HPE Private Cloud AI (PCAI). The speaker, Mark Seither, showcases a basketball play classification application that leverages a machine learning model trained on PCAI. This model accurately recognizes and cat...

Alastair Cooke, event lead at Tech Field Day, shared his key takeaways from AI Infrastructure Field Day 3 in September 2025, highlighting a shift from experimentation to production-ready AI applications. He emphasized the importance of automated platforms that simplify deployment, the trade-offs ...