In this session, Floyd Christofferson and Chad Smith from Hammerspace will step through the key capabilities of Hammerspace Global Data Environment software, and how it automates unstructured data orchestration across multi-vendor, multi-site, and often multi-cloud storage environments. It will focus specifically on solutions to the problems of when data that is needed for AI pipelines […]
Accelerating AI Pipelines with Hammerspace
In this session, Floyd Christofferson and Chad Smith from Hammerspace will look at solutions to achieve HPC-class performance to feed GPU-based AI pipelines while leveraging data in place on existing storage resources. This session will give real-world examples of how customers have adapted their existing infrastructure to accommodate the performance levels needed for AI and […]
Nature Fresh Farms – Maximizing Greenhouse Yield Using AI Powered by Intel
Keith Bradley, VP of IT and Security at Nature Fresh Farms, presented on how the company uses AI to maximize greenhouse yield. Nature Fresh Farms is a 250-acre greenhouse operation that grows bell peppers, tomatoes, cucumbers, and strawberries in a controlled environment, focusing on increasing yield per square meter. They started 23 years ago with […]
Deploy AI Everywhere From Edge to Data Center and Cloud with Intel
In this session, Ronak Shah, AI Product Director at Intel’s Data Center and AI Group, reflects on the full day of presentations at AI Field Day 4. In addition to Intel, the day included representatives from Nature Fresh Farms, VMware by Broadcom, Google Cloud, and Kamiwaza. He emphasizes the prevalence of AI deployments, particularly inferencing […]
Kamiwaza Private AI Inference Mesh and Data Engine
Luke Norris and Matt Wallace from Kamiwaza presented their mission to help enterprises achieve a trillion inferences a day, which they believe is key to the fifth industrial revolution. They discussed the massive scale at which they aim to operate, targeting Fortune 500 and Global 2000 companies, and addressing real-world use cases and problems. They […]
Developer and Operational Productivity in Google Cloud with Duet AI
In this session, we’ll demonstrate how Duet AI enhances developer and operational productivity. We’ll explore how Google’s state of the art AI is applied to address real- world development and operations challenges. Topics include context-aware code completion, licensing compliance assistance, code explanation, test generation, operational troubleshooting and more. We’ll share customer successes and insights from […]
Google Cloud AI Platforms and Infrastructure
In this session, we’ll explore how Vertex AI, Google Kubernetes Engine (GKE) and Google Cloud’s AI Infrastructure provide a robust platform for AI development, training and inference. We’ll discuss hardware choices for inference (CPUs, GPUs, TPUs), showcasing real-world examples. We’ll cover distributed training and inference with GPUs/TPUs and optimizing AI performance on GKE using tools […]
AI without GPUs: Using Intel AMX CPUs on VMware vSphere with Tanzu Kubernetes
Looking to deploy AI models using your existing data center investments? VMware and Intel have collaborated to announce VMware Private AI with Intel. VMware Private AI with Intel will help enterprises build and deploy private and secure AI models running on VMware Cloud Foundation and boost AI performance by harnessing Intel’s AI software suite and […]
AI without GPUs: Using Intel AMX CPUs on VMware vSphere for LLMs
Looking to deploy AI models using your existing data center investments? VMware and Intel have collaborated to announce VMware Private AI with Intel. VMware Private AI with Intel will help enterprises build and deploy private and secure AI models running on VMware Cloud Foundation and boost AI performance by harnessing Intel’s AI software suite and […]
Deploy AI Everywhere on Intel Xeon CPUs
There’s a major AI hype cycle today, but what do businesses actually need? Today’s enterprises typically benefit from AI as a general-purpose, mixed workload instead of a purely dedicated one. Intel AI Product Director Ro Shah contextualizes the time and place for inferencing, nimble vs giant AI models, hardware and software options – all with […]
Insights into AI from Futurum Intelligence
Stephen Foskett discusses the Futurum Group’s Intelligence platform, which is focused on workplace intelligence, customer experience, and AI. Foskett demonstrates the Intelligence platform, which is based on surveys of IT decision-makers and is updated every six months. The AI market data presented is collected by Keith Kirkpatrick and includes information about AI platform usage, vendor […]
Optimized Storage from Supermicro and Solidigm to Accelerate Your Al Data Pipeline
Wendell Wenjen and Paul McLeod from Supermicro discuss challenges and solutions for AI and machine learning data storage. Supermicro is a company that provides servers, storage, GPU-accelerated servers, and networking solutions, with a significant portion of their revenue being AI-related. They highlighted the challenges in AI operations and machine learning operations, specifically around data management, […]
Why Storage Matters for AI with Solidigm
In this presentation, Ace Stryker and Alan Bumgarner of Solidigm discuss the importance of storage in AI workloads. They explain that as AI models and datasets grow, efficient and high-performance storage becomes increasingly critical. They introduce their company, Solidigm, which emerged from SK Hynix’s acquisition of Intel’s storage group, and they offer a range of […]
Real-World Use of Private AI at VMware by Broadcom
This session offers a deep dive into VMware’s internal AI services used by VMware employees, including our services for coding-assist, document search using retrieval augmented generation (RAG), and our internal LLM API. In this presentation, Ramesh Radhakrishnan of VMware discusses the company’s internal use of AI, particularly large language models (LLMs), for various applications. He […]
Running Best-of-Breed AI Services on a Common Platform with VMware Cloud Foundation
VMware Cloud Foundation streamlines AI production, providing enterprises with unmatched flexibility, control, and choice. Through Private AI, businesses can seamlessly deploy best-in-class AI services across various environments, while ensuring privacy and security. Join us to explore VMware’s collaborations with IBM watsonx, Intel AI, and AnyScale Ray, delivering cutting-edge AI capabilities on top of VMware’s Private […]
VMware Private AI Foundation with NVIDIA Demo
This VMware Private AI Foundation with NVIDIA demo works with the data scientist user as well as the VMware system administrator/devops person. A data scientist can reproduce their LLM environment rapidly on VMware Cloud Foundation (VCF). This is done through a self-service portal or through assistance from a VCF system administrator. We show that a […]
VMware Private AI Foundation with NVIDIA Overview
VMware Private AI Foundation with NVIDIA is a fully integrated solution featuring generative AI software and accelerated computing from NVIDIA, built on VMware Cloud Foundation and optimized for AI. The solution includes integrated AI tools to empower enterprises to customize models and run generative AI applications adjacent to their data while addressing corporate data privacy, […]
Introduction to VMware Private AI
VMware Private AI brings compute capacity and AI models to where enterprise data is created, processed, and consumed, whether that is in a public cloud, enterprise data center, or at the edge. VMware Private AI consists of both product offerings (VMware Private AI Foundation with NVIDIA) and a VMware Private AI Reference Architecture for Open […]
VMware by Broadcom Private AI Primer – An Emerging Category
Private AI as an architectural approach that aims to balance the business gains from AI with the practical privacy and compliance needs of the organization. What is most important is that privacy and control requirements are satisfied, regardless of where AI models and data are deployed. This session will walk through the core tenets of […]