In this session, Cisco discusses new cloud-driven Data Center Network as-a-service. They cover how the product works, key use-cases and how this also relates to new Hyperfabric for AI offerings from Cisco.
Unleash AI Potential with Cisco’s Scalable GPU Server Solutions
Discover Cisco’s advanced AI servers designed to handle demanding workloads with dense GPU capabilities and scalable, future-ready architecture. Built on the latest NVIDIA platforms, these solutions offer exceptional performance and flexibility, supporting up to eight GPUs for AI model training, fine-tuning, and inferencing. Join our session to learn how Cisco’s AI technology empowers enterprises to […]
Cisco Nexus Smart Switch and Hypershield Integration
In this session, Cisco introduces a new family of Nexus data center Smart Switches with DPUs, enabling stateful services to be embedded directly into the data center fabric at scale. Hypershield security services are integrated into the Smart Switch, covering a variety of use cases. Cisco provides a technical overview of Nexus Smart Switches, Hypershield, […]
Transforming Service Provider Networks Through AI-Powered Connectivity
Join us for an interactive Tech Field Day session focused on launching Cisco’s new Agile Services Networking, discussing why it’s important and the power of AI to drive transformation. Cisco’s Senior Technical Engineering experts, Mustafa Bostanci, Phil Bedard and Brian Meaney will walk through the new solutions Cisco is introducing across our Silicon One, Routing, […]
Kamiwaza Model Context Protocol for Private Models – Inferencing and Data Within the Enterprise
In this segment, we demonstrated how MCP (Model Context Protocol) enables enterprises to integrate and manage private models and agents through Kamiwaza. The presentation showcased a simple chat interface capable of handling complex tasks, such as interacting with GitHub to review and fix code. This was achieved through the open-source Model Context Protocol (MCP) and […]
Move from the AI Pilot Circle of Doom to Achieving Outcomes Today with Kamiwaza Enterprise Outcome Support
Discover how Kamiwaza’s outcome-driven approach ensures measurable success for organizations of any size. This novel approach enables not just break-fix support but true outcome-based support of AI workflows and applications. The Kamiwaza platform facilitates innovation across various sectors, including manufacturing and government, as demonstrated through real-world use cases presented at AI Field Day 6. The […]
Kamiwaza – A Single API and SDK for GenAI Applications to Run in the Enterprise
Experience a live demo showcasing Kamiwaza’s capabilities, including how our platform seamlessly integrates third-party applications via our SDK and API across all locations and silicon. A technical demo showed data ingestion for the RAG process and how data and security integrations, such as authentication, are handled for both internal and third-party enterprise applications. Kamiwaza positions […]
The Power of a True Enterprise AI Orchestration with Kamiwaza
Kamiwaza is a groundbreaking platform designed to enable enterprise AI at scale. Its Distributed Inference Mesh and Locality-Aware Data Engine deliver unmatched performance across diverse environments, including cloud, on-premises, and edge locations, while remaining independent of specific silicon technologies. A key focus is inference optimization for the operational aspect of AI, addressing the challenges of […]
How CEOs are Preparing for AI in 2025 – Futurum CEO Insights
The Futurum Group’s presentation at AI Field Day 6, focusing on CEO perspectives on AI in 2025, revealed a significant disconnect between C-suite leadership and IT teams. While 59% of surveyed CEOs (from billion-dollar revenue companies globally) believe they’re leading AI strategy, this perception is largely driven by board pressure to compete in a rapidly […]
MemVerge Fireside Chat with Steve Yatko of Oktay
Charles Fan and Steve Yatko discussed enterprise experiences with AI application and infrastructure deployments. The conversation highlighted the challenges faced by organizations adopting generative AI, particularly the unpreparedness for the rapid advancements and the need for strategic planning. Key challenges revolved around defining appropriate use cases for generative AI, maximizing business value and revenue generation, […]
MemVerge Memory Machine AI Transparent Checkpointing
Bernie Wu’s presentation at AI Field Day 6 detailed MemVerge’s transparent checkpointing technology for AI workloads, addressing limitations of existing checkpointing methods. This technology, implemented as an MMAI Kubernetes operator, enables efficient pausing and relocation of long-running GPU tasks without requiring application modifications or awareness. This contrasts with other schedulers that necessitate application-level changes or […]
MemVerge Memory Machine AI GPU-as-a-Service
Steve Scargall introduces Memory Machine AI (MMAI) software from MemVerge, a platform designed to optimize GPU usage for platform engineers, data scientists, developers, MLOps engineers, decision-makers, and project leads. The software addresses challenges in strategic resource allocation, flexible GPU sharing, real-time observability and optimization, and priority management. MMAI allows users to request specific GPU types […]
Supercharging AI Infra with MemVerge Memory Machine AI
Dr. Charles Fan’s presentation at AI Field Day 6 provided an overview of large language models (LLMs), agentic AI applications, and workflows for AI workloads, focusing on the impact of agentic AI on data center technology and AI infrastructure software. He highlighted the two primary ways enterprises are currently deploying AI: leveraging API services from […]
AI Model Security and Governance – Broadcom VMware Private AI Model Gallery Demo
Model governance is crucial as enterprises adopt AI, requiring secure and consistent model behavior. This presentation by Tasha Drew of Broadcom VMware focuses on the challenges of achieving model governance and how VMware Private AI’s model gallery addresses these challenges through its capabilities and workflows. The core issue highlighted is the risk associated with introducing […]
Real-World Customer Journey with VMware Private AI from Broadcom
Broadcom is actively engaged with customers on proof of concepts and production deployments of VMware Private AI Foundation. This session details a composite example of a typical customer journey, drawing from real-world scenarios encountered during customer engagements. The presentation focuses on the infrastructure aspects often overlooked, emphasizing the importance of a robust foundation for data […]
VMware Private AI Foundation Capabilities and Features Update from Broadcom
A technical review of the generally available VMware Private AI Foundation with NVIDIA product, an advanced service on VMware Cloud Foundation, was presented. The presentation focused on the architecture of VMware Private AI Foundation (VPF), highlighting its reliance on VMware Cloud Foundation (VCF) 5.2.1 as its base. The speaker, Justin Murray, explained the layered architecture, […]
Three Reasons Customers Choose VMware Private AI from Broadcom
Overview of why customers are choosing VMware Private AI and popular enterprise use cases we are seeing in the field. Tasha Drew’s presentation at AI Field Day 6 highlighted three key reasons driving the adoption of VMware Private AI. First, she addressed the often-overlooked issue of GPU underutilization. Data from UC Berkeley’s Sky Computing Lab, […]
MLCommons MLPerf Storage
MLCommons’ MLPerf Storage benchmark addresses the rapidly growing need for high-performance storage in AI training. Driven by the exponential increase in data volume and the even faster growth in data access demands, the benchmark aims to provide a standardized way to compare storage systems’ capabilities for AI workloads. This benefits purchasers seeking informed decisions, researchers […]
MLCommons MLPerf Client Overview
MLCommons presented MLPerf Client, a new benchmark designed to measure the performance of PC-class systems, including laptops and desktops, on large language model (LLM) tasks. Released in December 2024, it’s an installable, open-source application (available on GitHub) that allows users to easily test their systems and provides early access for feedback and improvement. The initial […]
MLCommons and MLPerf – An Introduction
MLCommons is a non-profit industry consortium dedicated to improving AI for everyone by focusing on accuracy, safety, speed, and power efficiency. The organization boasts over 125 members across six continents and leverages community participation to achieve its goals. A key project is MLPerf, an open industry standard benchmark suite for measuring the performance and efficiency […]