Lenovo ThinkSystem SR670 V2 Server User Guide

June 12, 2024
Lenovo

PRESS
ThinkSystem SR670 V2 Server

User GuideLenovo ThinkSystem SR670 V2 Server

MLPerf Training v2.1 Showcases Lenovo’s
Commitment to Growth and Enhancement of AI Article

ThinkSystem SR670 V2 Server

Lenovo AI continues to perform
MLPerf™ is the industry’s leading AI benchmark and gives quantitative results to the consistent improvements from Lenovo round after round. Through this commitment to consistent competitive testing, Lenovo can provide baseline delivered performance for artificial intelligence (AI), rather than pure marketing claims. MLPerf benchmarks were developed with the intent to “build fair and useful standards”, that provide evaluations of training and inference performance for hardware, software, and services. These measurements allow Lenovo to consistently provide best-in-class solutions to their customers. With customers in mind, Lenovo will continue to take part in these rounds of metrics  and provide transparent viewership to all results. This allows all parties to formulate informed decisions and judgements based on factual third- party data points.
MLPerf Training v2.1 highlights
Understanding this round’s attempts and discoveries on MLPerf benchmarking:

  • Lenovo won 2 benchmarks and remained competitive in 4 others, using the same GPUs and Infrastructure as Lenovo Inference testing, demonstrating the versatility of the platform

Click here to check for updates

Continued advancements in performance
For our third run with the same servers, we continue to showcase improvements by improving and enhancing our software/drivers. This is used to showcase to existing clients that they too can obtain such improvements with existing technology. These advancements include:

  • Lenovo Think System SR670 V2 NVIDIA-Certified Server with 4x NVIDIA A100 80GB SXM4 Tensor
    Core GPUs
    Won ResNet50 at 61.99min
    Won DLRM at 3.58min
    Competitive BERT, MaskRCNN

  • Lenovo ThinkSystem SR670 V2 NVIDIA-Certified Server with 8x NVIDIA A100 80GB PCIe -Tensor
    Core GPUs
    Competitive MaskRCNN, ResNet

Progress is about improvement; Lenovo sees improvement as a basis for customer satisfaction. As technology progresses, Lenovo will continue to benchmark itself against all competition using MLPerf benchmarks. We will continue to provide transparent results, allowing customers to focus on the success of their deployments around the globe.Lenovo ThinkSystem SR670 V2 Server -
Figure

Lenovo and NVIDIA collaboration
Lenovo utilizes NVIDIA accelerated computing to demonstrate AI performance across various infrastructure configurations, running on Lenovo NVIDIA- Certified ThinkSystem platforms. We showcased the efficiency and performance of  our air-cooled systems, providing both PCIe and HGX deployment options in a standard data center platform that enterprises of all sizes can quickly deploy.
Lenovo collaborates extensively with NVIDIA on the advancement of AI systems. Through our Lenovo AI Innovation Centers, we’re working with NVIDIA to ensure the success of our customers AI initiatives, providing access to Lenovo  and NVIDIA AI experts to aid with consulting on projects, the proper infrastructure to run a proof of concept, and proof of ROI before deployment. As the AI world continues to evolve, collaborations make coming to market an easier and more effective process.
For more information
For more information, see the following resources:
Explore Lenovo AI solutions:
https://www.lenovo.com/us/en/servers-storage/solutions/analytics-ai/
Engage the Lenovo AI Center of Excellence:
https://lenovoaicodelab.atlassian.net/servicedesk/customer/portal/3
MLCommons®, the open engineering consortium and leading force behind MLPerf, has now released new results for MLPerf benchmark suites:

Related product families
Product families related to this document are the following:

  • Artificial Intelligence
  • ThinkSystem SR670 V2 Server

Notices
Lenovo may not offer the products, services, or features discussed in this document in all countries. Consult your local Lenovo representative for information on the products and services currently available in your area. Any reference to a  Lenovo product, program, or service is not intended to state or imply that only that Lenovo product, program, or service may be used. Any functionally equivalent product, program, or service that does not infringe any Lenovo  intellectual property right may be used instead. However, it is the user’s responsibility to evaluate and verify the operation of any other product, program, or service. Lenovo may have patents or pending patent applications covering  subject matter described in this document. The furnishing of this document does not give you any license to these patents. You can send license inquiries, in writing, to:
Lenovo (United States), Inc.
8001 Development Drive
Morrisville, NC 27560
U.S.A.
Attention: Lenovo Director of Licensing
LENOVO PROVIDES THIS PUBLICATION ”AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Some jurisdictions do not allow disclaimer of  express or implied warranties in certain transactions, therefore, this statement may not apply to you.
This information  could include technical inaccuracies or typographical errors. Changes are periodically made to the information herein; these changes will be incorporated in new editions of the publication. Lenovo may make improvements and/or  changes in the product(s) and/or the program(s) described in this publication at any time without notice.
The products described in this document are not intended for use in implantation or other life support applications where malfunction may result in injury or death to persons. The information contained in this document does not affect  or change Lenovo product specifications or warranties. Nothing in this document shall operate as an express or implied license or indemnity under the intellectual property rights of Lenovo or third parties. All information contained in  this document was obtained in specific environments and is presented as an illustration. The result obtained in other operating environments may vary. Lenovo may use or distribute any of the information you supply in any way it believes appropriate without incurring any obligation to you.
Any references in this publication to non-Lenovo Web sites are provided for convenience only and do not in any manner serve as an endorsement of those Web sites. The materials at those Web sites are not part of the materials for this Lenovo product, and use of those Web sites is at your own risk. Any performance data contained herein was determined in a controlled environment. Therefore, the result obtained in other operating environments may vary significantly.  Some measurements may have been made on development-level systems and there is no guarantee that these measurements will be the same on generally available systems. Furthermore, some measurements may have been estimated  through extrapolation. Actual results may vary. Users of this document should verify the applicable data for their specific environment.
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This document, LP1664, was created or updated on November 9, 2022.
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MLPerf Training v2.1 Showcases Lenovo’s
Commitment to Growth and Enhancement of AI

References

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