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 enterprises to offer services like Kubernetes, bare metal, GPU as […]
From Infrastructure Chaos to Cloud-Like Control with Rafay
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 companies that already have existing infrastructure, automation, and deployments. The core problem they solve is standardization […]
Bridging the gap from GPU-as-a-Service to AI Cloud with Rafay
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 qualify as true cloud solutions. Budhani emphasizes that users should be able to […]
Accelerating AI Infrastructure Adoption for GPU Providers and Enterprises with Rafay
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 the current market dynamics in AI infrastructure, particularly the discrepancy between […]
The Open Flash Platform Initiative with Hammerspace
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 that yields a more efficient and modular, standards-based, and disaggregated model. The presentation highlights the […]
Activating Tier 0 Storage Within GPU and CPU-based Compute Cluster with Hammerspace
Tier 0 Storage is activated within existing GPU and CPU clusters by putting the underused NVMe in servers to work. Instead of sitting siloed and unprotected, this stranded capacity is unified with other storage tiers through Hammerspace, ensuring protection, reducing Tier 1 load, and eliminating vendor silos. Tier 0 automates AI data placement across sites […]
What is AI Ready Storage, with Hammerspace
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. Traditional environments suffer from visualization challenges, high costs, and data […]
The AI Factory in Action: Basketball play classification with Hewlett Packard Enterprise
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 categorizes various basketball plays, such as pick and roll, isolation, and […]
The AI Factory: A strategic overview with Hewlett Packard Enterprise
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 costs and the architectural bottlenecks that lead to runaway spending and […]
The AI Chasm: Bridging the gap from pilot to production with Hewlett Packard Enterprise
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, unpredictable costs, and a lack of scalable infrastructure. In this session, we’ll […]
Your turnkey AI Factory for Rapid Development with Hewlett Packard Enterprise
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 designed to bridge this gap. We’ll show […]
From Storage to Enterprise Intelligence, Unlock AI Value from Private Unstructured Data with CTERA
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. CTERA’s presentation at AI Infrastructure Field Day 3 focused on the transition from traditional […]
Unlocking Enterprise Intelligence with CTERA MCP
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 enterprise-wide data interaction and management, offering a reliable and future-proof architecture. CTERA addresses […]
CTERA Enterprise Intelligence: Unify & Activate Your Private Data for Faster & Smarter Outcomes
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. Additionally, the session demonstrates how agentic AI advances productivity, enabling virtual employees to interact […]
CTERA Intelligent Data Management from Edge to Core
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-powered tools, automated workflows, and an intelligent data platform to improve data insights, security, […]
Mirantis PaaS Technology Stack with Shaun O’Meara
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. Services can be chained, extended, and validated without requiring custom integration work […]
Mirantis IaaS Technology Stack with Shaun O’Meara
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 servers can be rapidly added, tracked, and made available for […]
Mirantis Solution Approach: GPU Cloud in a Box with Shaun O’Meara
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 stacks, resource scheduling difficulties, and lack of integrated observability. Rather than forcing customers to […]
Mirantis Company Overview
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 clouds, and later played a formative role in advancing cloud-native technologies, […]
Jericho4: Enabling Distributed AI Computing Across Data Centers with Broadcom
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 interconnecting more than one million XPUs across multiple data centers. The presentation discusses the Jericho 4 […]