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Videos about the PowerFlex family of products

Multimodal RAG Chatbot Powered by Dell Data Lakehouse

This paper presents a sophisticated multimodal Retrieval Augmented Generation (RAG) chatbot that leverages the capabilities of a Dell Data Lakehouse to manage and interact with diverse data types, including structured, semi-structured, and unstructured data.

Deploy Help Virtual Assistant

This document describes how a virtual assistant based on agents and RAG is developed and deployed in the Deploy Services business.

Demystifying On-Device Intelligent Search Using RAG Architecture

In today’s data-driven landscape, retrieving accurate and relevant information efficiently is crucial. This is especially significant for organizations dealing with large-scale document repositories. The modern era demands intelligent systems capable of understanding and retrieving precise information from extensive knowledge bases. Retrieval Augmented Generation (RAG) is one such transformative framework that ...

Chunk Twice, Retrieve Once: RAG Chunking Strategies Optimized for Different Content Types

In the world of Retrieval-Augmented Generation (RAG), the old carpenter's wisdom "measure twice, cut once" finds new life. Just as precise measurements prevent wasted materials, thoughtful chunking strategies prevent lost context and poor retrieval performance. The documents you're working with aren't just text—they're structured information that demands recognition of their ...

Run Your In-House AI Chatbot on an AMD EPYC 9534 Processor-Powered Dell PowerEdge R6615 Server

Testing revealed that this server can be a great AI entry point for small organizations or departments, while upgrading to a CPU + GPU configuration could help them scale to support more users. Generative artificial intelligence (GenAI) is today’s hottest topic, with decision-makers across industries wanting to take advantage of ...

Retrieval Augmented Generation IT Log Analysis on PowerEdge R760xa with Nvidia H100 Accelerators

GenAI IT Log Analyzer | Enable IT Teams to Chat with Infrastructure on Dell PowerEdge ™ R760xa Server with Nvidia H100 Data Center Tensor Core GPUs In this blog, Metrum AI presents a RAG solution on Dell PowerEdge R760xa Server with Nvidia H100 Data Center Tensor Core GPUs. The exponential ...

Reducing False-Negative Retrieval in Support RAG Systems

This white paper presents a controlled comparative study between a traditional OCR+Text embedding-based RAG pipeline and a Vision-Language Model (VLM)–based retrieval system using ColPali.

Beyond Vector Search - Teaching AI Where to Look

In my last post I argued for a unified knowledge layer , a structured map of concepts, relationships, and the tacit rules experts use. That map can upgrade an AI from a clever text predictor into something that can actually reason. But a map itself is not enough. If we ...

Protecting Dell AI Factory with Dell PowerProtect Data Manager and Data Domain

This white paper focuses on the protection of the Retrieval-Augmented Generation (RAG)-related components within the Dell AI Factory using Dell PowerProtect Data Manager and Data Domain, resulting in enterprise-grade protection and recovery for AI workloads.

Simplifying AI at Scale: NIM Operator 2.0 on Dell AI Factory

The NIM Operator, developed by NVIDIA, is a powerful Kubernetes Operator designed to streamline the deployment, management, and scaling of NVIDIA NIM microservices on Kubernetes clusters. This tool makes it easier to handle AI inference pipelines, ensuring faster and more flexible generative AI development across various environments, from data centers ...

RAG POC How-to Guide

The RAG POC How-to Guide is your step-by-step tutorial for deploying a Generative AI chatbot use case Proof-of-Concept (POC) with Retrieval Augmented Generation (RAG).

Dell APEX Cloud Platform for Red Hat OpenShift: jumpstart your next AI innovation

The 4th Generation Intel Xeon Scalable processor‑powered solution deployed in less than two hours and ran a Kubernetes container-based generative AI workload effectively

Using Retrieval Augmented Generation (RAG) on a Custom PDF Dataset with Dell Technologies

The Generative AI transformation Artificial Intelligence is transforming the entire landscape of IT and our digital lives. We’ve witnessed several major disruptions that have changed the course of technology over the past few decades. The birth of the internet, virtual reality, 3D printing, containerization, and more have contributed to major ...

KX-NVIDIA RAG Blueprint

This guide describes how to deploy the KX NVIDIA RAG Blueprint on Dell PowerEdge servers using NVIDIA NIM microservices and the KDB.AI vector database, enabling a scalable, GPU accelerated, production ready Retrieval Augmented Generation (RAG) solution.

Dell APEX Cloud Platform for Red Hat OpenShift: jumpstart your next AI innovation

The 4th Generation Intel Xeon Scalable processor‑powered solution deployed in less than two hours and ran a generative AI workload effectively

The Rise of Agentic RAG Systems

In the rapidly evolving world of artificial intelligence, groundbreaking paradigms are transforming how we interact with and extract value from vast information sources. Traditional Retrieval-Augmented Generation (RAG) systems have significantly improved the ability of Large Language Models (LLMs) to deliver accurate, up-to-date responses by grounding them in external knowledge sources. ...

See the Science: Dell APEX Cloud Platform for Red Hat OpenShift

To learn how these facts translate into real-world benefits, read the report Dell APEX Cloud Platform for Red Hat OpenShift: An easily deployable and powerful solution to jumpstart your next AI innovation

Multimodality Data Preparation Pipeline

Introduction Retrieval-Augmented Generation (RAG) is an effective approach to improve Large Language Model (LLM) behavior by combining information retrieval with generative AI. With RAG, an AI system retrieves relevant data from a vector store database. The database stores data as high-dimensional vectors that represent the meaning of words or phrases ...

Improving LLMs Beyond Fine-Tuning and RAG

Overview Large Language Models (LLM) are decoder-encoder based neural networks that are pre-trained on trillions of words/tokens and excel in document analysis such as summarization, comparison and content creation. The value of document intelligence is increasingly recognized and explored across every industry. The accuracy of this intelligence depends not only ...

Dell APEX Cloud Platform for Red Hat OpenShift with NVIDIA NIM Microservices

This white paper outlines a solution for increasing relevant knowledge in generative AI system using transcribed audio as a source for retrieval augmented generation, built on the Dell APEX Cloud Platform for OpenShift and NVIDIA NIM Microservices.

GenAI Telecom Security: Real-Time Issue Management Using Agentic RAG

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Why AI Still Struggles With Expert Knowledge And the Emerging Blueprint to Fix It

Over the last few months, I’ve been having ongoing discussion with a few colleagues about a deceptively simple question: Why do AI systems still fail at the kinds of problems that human experts handle almost instinctively? We all know by now that large language models can write essays, summarize documents, ...

Get started building RAG pipelines in your enterprise with Dell Technologies and NVIDIA (Part 1)

In our previous blog, we showcased running Llama 2 on XE9680 using NVIDIA's LLM Playground (part of the NeMo framework). It is an innovative platform for experimenting with and deploying large language models (LLMs) for various enterprise applications. The reality is that running straight inference with foundational models in an ...

Protecting Dell AI Factory RAG with Dell PowerProtect Data Manager and Data Domain

Summary Artificial Intelligence (AI) is transforming industries by enhancing efficiency and providing a strategic advantage. Yet, mastering AI's potential comes with its own set of challenges, such as bridging the skill gap, managing data sovereignty, and the expenses involved in deploying and scaling AI enterprise-wide. As we enter the AI ...

Are You Ready to Hit the Go Faster Button for GenAI?

AI can often present a challenge. Developing use cases and providing effective solutions can be fraught with pitfalls. Identifying what can be accomplished in simple terms enables substantive progress. It is important to draw out what is being asked. There are many ways to improve your performance and effectiveness with ...

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Industry First Multimodal RAG on Dell PowerEdge XE9680 Server with AMD Instinct MI300

Specialty Servers Videos

Evaluating RAG pipelines on a million documents with OpenVINO on 5th Gen Intel Xeon Processors

Summary This paper presents the impressive capabilities of the OpenVINO toolkit [1] to accelerate Retrieval-Augmented Generation (RAG) pipelines by using the AI acceleration features present in the 5th Gen Intel Xeon Scalable processors [2] for the optimization of large language models (LLMs) and vector embedding models. Enterprises across industries can ...

Industry’s First Multimodal RAG on Dell PowerEdge XE9680 Server with AMD Instinct MI300X Accelerators

In this blog, Scalers AI presents a multimodal RAG solution enabled by compute & memory capability of the AMD Instinct MI300X accelerators on Dell PowerEdge XE9680 servers. With the release of the AMD Instinct MI300X accelerator, we are now entering an era of choice for leading AI accelerators that power ...

HR-Assist: Proof of Concept RAG-Based Matching Assistant

This technical white paper introduces HR-Assist, a proof-of-concept solution for an advanced generative-based assistant designed to optimize complex and tedious project-matching tasks by making them simple and efficient through a user-friendly chatbot system.

A Single RAG Solution to Generate CLI, REST API, and Ansible Tasks for PowerScale

Code generation is one of the use cases where existing Generative AI models really excel. Using coding assistants like Codeium and GitHub Copilot is becoming the norm for developers. While coding assistants and genAI chat tools work great for general coding tasks in various programming languages, their underlying models may ...

Enhancing Telco Quality of Service with Generative AI Agentic RAG

This blog presents a telecom quality of service (QoS) Gen AI Agentic RAG solution powered by the AMD Instinct MI300X accelerators on Dell PowerEdge XE9680 servers. The introduction of the AMD Instinct MI300X accelerator, now integrated with Dell’s flagship PowerEdge XE9680 server, provides a robust platform for high-performance AI applications. ...