Lenovo Thinksystem Sr670 V2 Server User Guide (+ PDF)

Contents hide

1 ThinkSystem SR670 V2 Server

2 Product Information:

3 Product Usage Instructions:

3.1 Documents / Resources

3.1.1 References

ThinkSystem SR670 V2 Server

Product Information:

Lenovo AI continues to perform exceptionally well in MLPerf
Training v2.1. Lenovo has won 2 benchmarks and remained competitive
in 4 others using the same GPUs and infrastructure as Lenovo
Inference testing. The platform demonstrates its versatility and
commitment to growth and enhancement of AI.

Lenovo ThinkSystem SR670 V2 NVIDIA-Certified Server with 4x
NVIDIA A100 80GB SXM4 Tensor Core GPUs has achieved impressive
results. It won ResNet50 at 61.99 minutes and DLRM at 3.58 minutes.
It also remained competitive in BERT and MaskRCNN benchmarks.

Lenovo ThinkSystem SR670 V2 NVIDIA-Certified Server with 8x
NVIDIA A100 80GB PCIe-Tensor Core GPUs also delivered competitive
performance in MaskRCNN and ResNet benchmarks.

Lenovo collaborates extensively with NVIDIA to advance AI
systems. Through Lenovo AI Innovation Centers, customers have
access to Lenovo and NVIDIA AI experts for consulting,
infrastructure support, proof of concept, and proof of ROI before
deployment.

Product Usage Instructions:

Ensure that you have the Lenovo ThinkSystem SR670 V2
NVIDIA-Certified Server with the recommended NVIDIA A100 GPUs
installed.
Install the necessary software/drivers provided by Lenovo to
optimize performance.
Refer to the MLPerf Training v2.1 benchmarks for specific use
cases and performance metrics.
To achieve optimal results, follow the guidelines and best
practices recommended by Lenovo and MLPerf.
For more information on benchmark results and the latest news
about MLCommons, visit the following links:
- Benchmark
  results
- Latest news
  about MLCommons

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

Continued advancements in performance

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

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 ThinkSystem 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.

Figure 1. Lenovo ThinkSystem SR670 V2 configured to support eight double-wide GPUs
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

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

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:
Benchmark results: https://mlcommons.org/en/inference-datacenter-21/ Latest news about MLCommons: https://mlcommons.org/en/news/mlperf-inference-v21/
Related product families
Product families related to this document are the following: Artificial Intelligence ThinkSystem SR670 V2 Server

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

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

Trademarks
Lenovo and the Lenovo logo are trademarks or registered trademarks of Lenovo in the United States, other countries, or both. A current list of Lenovo trademarks is available on the Web at https://www.lenovo.com/us/en/legal/copytrade/.
The following terms are trademarks of Lenovo in the United States, other countries, or both: Lenovo® ThinkSystem®
Other company, product, or service names may be trademarks or service marks of others.

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