Futurum Research Presents at AI Infrastructure Field Day
Futurum Research analysts are closely connected to the industry in their coverage areas, providing insights into the implications of trends for both vendors and customers. This presentation will provide an overview of these insights, drawn from two recent reports published for Futurum Research subscribers. Fernando Montenegro: Are We Clear On What We Mean When We […]
Solidigm Presents at AI Infrastructure Field Day
Redefining Scale and Efficiency for the AI Era Solidigm is bringing in one of our outstanding partners, Vast Data, to co-present at AIIFD4. These session we are going to work on the discussion of what is going on in 2026, the markets, the directions, the innovations and the challenges. The first session will be Solidigm […]
Fabrix.ai Presents at AI Infrastructure Field Day
Fabrix’s Enterprise-Ready AgentOps Platform powered by Agentic Middleware – Deep dive & demo Enterprises are able to derive very little value from AI agents and agentic workflows, though there are several experimental demos and siloed implementations. They lack enterprise readiness for production use cases at scale. This is particularly true when dealing with Operational use […]
Forward Networks Presents at AI Infrastructure Field Day
Forward Networks Presents at AI Infrastructure Field Day Risk lives in the gap between design intent and operational reality. Join Forward Networks at AI Infrastructure Field Day 4 to see how we are closing that gap. By pairing agentic operations with the industry’s only mathematically accurate network digital twin, we are replacing manual bottlenecks with […]
Xsight Labs Presents at AI Infrastructure Field Day
Xsight Labs Presents at AI Infrastructure Field Day This presentation provides a comprehensive deep dive into a next-generation semiconductor ecosystem designed for AI Factories and Cloud infrastructure. It highlights the technical architecture and real-world applications of the X-Series and E-Series chips, focusing on how “software-defined” hardware can optimize scale, power efficiency, and time-to-market.
Hammerspace Presents at AI Infrastructure Field Day
Break free from the constraints of traditional storage infrastructure: Unify your data estate and maximize existing investments AI is in the midst of a market transformation. Whole industries are moving from research and training to production and inference, yet enterprises still struggle to get their arms around the fundamental challenges of organizing, accessing, and monetizing […]
Cisco Enterprise Networking Presents at AI Infrastructure Field Day
It’s Time for a New Kind of Network. One that’s not retrofitted for AI—but purpose-built for it. Designed to handle the scale, speed, complexity, and security demands of the AI era—from the ground up. Cisco’s next generation of switching, routing, and wireless devices are purpose-built to support any customer’s AI transformation. Built for campus, branch, […]
Cisco Data Center Networking Presents at AI Infrastructure Field Day
Cisco AI Cluster: Design, Automation, and Visibility for Unified and Consistent Operations The era of AI is transforming data centers, making advanced networks more essential than ever. To meet the demands of dynamic and distributed workloads, Cisco delivers flexible, scalable, and high-performance networking solutions purpose-built for AI. Join us at AI Infrastructure Field Day 4 […]
What Would You Send a Cloud Scout to Fix with SOUTHWORKS
This segment grounds the idea in practice. We’ll examine how embedded engineers have helped product teams go beyond reactive fixes — from automating post-mortems to co-designing self-healing infrastructure and predictive testing frameworks. The focus is on what changes when teams own reliability together: faster iteration, fewer handoffs, and more precise success metrics. We’ll close with […]
Demonstrating AI-Assisted Development for Leading European Streaming Service with SOUTHWORKS
A Cloud Scou is a forward-deployed engineer who joins the product team to co-own reliability, scalability, and evolution. Drawing from the Forward-Deployed Engineer for SR and AI-Managed DevCrew models, Scouts act as both architectural advisors and implementers — blending human judgment with AI-driven companions to build, test, and tune cloud-native systems. We walk through how […]
Cloud Scouts are Embedded (Human) Builders for the Cloud Native Frontier with SOUTHWORKS
Most SRE teams were designed to ensure uptime, not to evolve products. They monitor systems but often lack the context to influence architecture or design. This segment examines why proximity — being part of the product team — is what transforms reliability into progress. When engineers operate as embedded partners, they surface deeper insights, close […]
Cisco AI Networking Vision and Operational Strategies by Arun Annavarapu
Arun Annavarapu, Director of Product Management for Cisco’s Data Center Networking Group, opened the presentation by framing the massive industry shift towards AI. He noted that the evolution from LLMs to agentic AI and edge inferencing creates an AI continuum that places unprecedented demands on the underlying infrastructure. The network is the key component, tasked […]
Run Traefik Anywhere with Traefik Labs
Sudeep Goswami highlights Traefik’s ability to run in diverse environments, addressing the growing trend of multi-environment deployments. Traefik is not limited to Kubernetes, but can operate on Linux, within Docker containers, HashiCorp Nomad, and across any certified Kubernetes distribution. Sudeep demonstrated the ease of installation using a consistent Helm chart across different environments, including AKS, […]
Accelerating AI In the Enterprise with Traefik Labs
Sudeep Goswami from Traefik Labs presented at Tech Field Day at KubeCon North America 2025, focusing on accelerating AI in the enterprise using Traefik Labs’ runtime gateway. Given the rapid proliferation of AI models, decoupling applications from specific models becomes crucial to avoid constant refactoring. Traefik Labs advocates for decoupling at the gateway layer, providing […]
Run Your AI and APIs Anywhere with Traefik Labs
Sudeep Goswami, CEO of Traefik Labs, began the presentation by introducing Traefik Labs and outlining three main topics. The first was the concept of unified application intelligence. Second, the acceleration of AI in the enterprise. Finally, running applications anywhere, emphasizing freedom of choice, including public cloud, edge environments, and air-gapped environments. All growing themes at […]
The Advantages of Running vSphere Kubernetes Service in a Private Cloud with VMware by Broadcom
This session will emphasize the tangible benefits of running vSphere Kubernetes Service in a private cloud environment. We’ll reinforce how VKS simplifies operations within a private cloud context, highlighting minimal networking expertise required, self-service capabilities, and the powerful synergies with VCF services for an optimal private cloud solution. Jeremy Wolf introduced VMware’s approach to bringing […]
Deploying Your Apps in vSphere Kubernetes Service is Easy with VMware by Broadcom
This session showcases vSphere Kubernetes Service’s compatibility with existing setups, its Kubernetes-first API, and a rich ecosystem of Out-Of-The-Box (OOTB) services, such as ArgoCD. See a comprehensive, automated workflow in action, from provisioning a new VKS cluster with Terraform to deploying a sample microservices application via ArgoCD, and viewing metrics with integrated Prometheus and Telegraf. […]
vSphere Kubernetes Service for Platform Engineers – What You Didn’t Know with VMware by Broadcom
This session will highlight the robust capabilities of VKS for platform engineers, focusing on deep technical insights and real-world value. Discover how VKS offers a fully conformant Kubernetes runtime, simplified lifecycle management with 2-click cluster deployment, and built-in guardrails to ensure stability. We’ll address common pain points and demonstrate how VKS directly solves them, leading […]
Cisco AI Cluster Networking Operations DLB Demo with Paresh Gupta
Paresh Gupta concluded the deep dive by focusing on the most complex challenge in AI networking: congestion and load balancing in the backend GPU-to-GPU fabric. He explained that while operational simplicity and cabling are critical, the primary performance bottleneck, even in non-oversubscribed networks, is the failure of traditional ECMP load balancing. Because ECMP hashes flows […]