Top
Authors
- Peter Seidel
- Ajay Dholakia
- Nathan Stewart
Updated
9 Nov 2018Form Number
LP0892PDF size
48 pages, 289 KBSubscribed to LP0892.
Thank you for your feedback.
Download PDF
Abstract
This document describes the reference architecture for a flexible and scalable Artificial Intelligence (AI) infrastructure on Lenovo ThinkSystem servers. It provides a predefined and optimized hardware infrastructure for data access, model training and inference under various usage scenarios. The reference architecture provides planning, design considerations, and best practices for implementing the AI infrastructure with Lenovo products.
The AI adoption journey involves the following key steps:
- Data access
- Model training
- Inference
The task of providing data access entails connection with various data repositories. Typical models are based on deep neural networks (DNNs) and require a significant amount of computational resources for training. Using hardware infrastructure designed as a scale-out cluster for such model training use cases is a key requirement for enabling DL adoption. The inference step is aimed at deploying and using the trained model in the target application environment.
The intended audience for this reference architecture is IT professionals, technical architects, sales engineers, and consultants to assist in planning, designing, and implementing advanced analytics solutions with Lenovo hardware.
Table of Contents
1 Introduction
2 Business problem and business value
3 Requirements
4 Architectural overview
5 Component model
6 Operational model
7 Deployment considerations
8 Appendix: Bill of Material
9 Appendix: Example Training Workload
Resources
Document history
To view the document, click the language links under Download PDF.
Change History
Changes in the November 9 update (Version 2.0):
- Added inference
- Added big data storage
- Updated BOM tables to include configurations with 25Gb Ethernet switch
Configure and Buy
Please select a locale
Full Change History
Course Detail
Employees Only Content
The content in this document with a is only visible to employees who are logged in. Logon using your Lenovo ITcode and password via Lenovo single-signon (SSO).
The author of the document has determined that this content is classified as Lenovo Internal and should not be normally be made available to people who are not employees or contractors. This includes partners, customers, and competitors. The reasons may vary and you should reach out to the authors of the document for clarification, if needed. Be cautious about sharing this content with others as it may contain sensitive information.
Any visitor to the Lenovo Press web site who is not logged on will not be able to see this employee-only content. This content is excluded from search engine indexes and will not appear in any search results.
For all users, including logged-in employees, this employee-only content does not appear in the PDF version of this document.
This functionality is cookie based. The web site will normally remember your login state between browser sessions, however, if you clear cookies at the end of a session or work in an Incognito/Private browser window, then you will need to log in each time.
If you have any questions about this feature of the Lenovo Press web, please email David Watts at dwatts@lenovo.com.
