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White papers that describe Dell Technologies solutions for artificial intelligence and data analytics, including related white papers from analysts and partners
This white paper describes a solution that Dell Technologies has developed with hardware and software partners to make it easier and more cost-effective for retailers to employ new technology to reduce inventory loss at the checkout lane in stores
This white paper describes a Dell EMC platform for training a variety of neural network models with different capabilities and peformance characteristics. The paper presents image classification, machine translation, and product recommendation use cases.
This white paper describes the design of Domino Data Science Platform on Dell EMC infrastructure. Data scientists must be able to streamline model development to deployment by using an enterprise platform.
This ESG Technical Validation provides an evaluation of a Dell EMC solution for AI: Deep Learning with Intel. It focuses on the performance, ease of use, and total cost of ownership of the solution.
This ESG Technical Review evaluates Dell EMC's AI solutions. It focuses on the performance and ease of use of the solutions and optimized designs for machine learning and deep learning.
This white paper provides guidance on using VxFlex OS Container Storage Interface (CSI) driver to deliver persistent storage for PostgreSQL and Cassandra.
This technical paper outlines performance test results performed by SAS and general considerations for configuring and tuning the Dell EMC VxFlex integrated rack system for SAS application performance.
This report describes a total cost of ownership model created by Edison Group to compare the costs of Dell EMC Ready Solutions for Big Data versus an equivalent service build on Amazon Web Services (AWS) over a three-year period.
This report by Forrester provides an analysis of the costs and benefits of Dell EMC Ready Solutions for Hadoop, based on interviews of six customers.
This white paper presents the results of running the Confluent implementation of Apache Kafka workloads on a cluster of brokers based on the Dell EMC Real-Time Data Streaming Ready Architecture.
This white paper describes the tests and results of the performance characterization study of the Dell EMC 14th Generation (14G) PowerEdge server platform using the industry-standard TPCx-Big Bench benchmark tests.
This white paper describes Dell EMC converged and hyper-converged infrastructures that would be appropriate for providing enterprise performance, capacity, and data services for Splunk Enterprise.
Dell Technologies, DataRobot, and Intel deliver an on-premises enterprise artificial intelligence (AI) solution stack to enable organizations to implement AI transformation projects on trusted infrastructure.
This white paper assembles the experience of Canonical, Dell, SUSE, Intel, and Grid Dynamics in designing, building, and supporting machine learning and data science platforms.
This white paper outlines technical considerations and sizing guidance for on-premises enterprise AI platform reference architectures jointly developed by Dell Technologies, Intel, and H2O.ai.
This white paper outlines the technical considerations for deploying an on-premises enterprise data science reference architecture jointly developed by Dell Technologies, Intel, and Iguazio, and optimized for real-world performance and scalability.
