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ThinkSystem SR670 Server

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8 Matching Documents

Lenovo ThinkSystem Servers Continue to Lead the Industry in Performance and Customer Value
Positioning Information , last updated 14 Sep 2021
Lenovo ThinkSystem SR670 Server (Xeon SP Gen 2)
Product Guide , last updated 10 Sep 2021
Scalable MLOps & AI Training Solution with cnvrg.io and Lenovo ThinkSystem AI-Ready Servers
Solution Brief , published 20 Mar 2021
Reference Architecture: Lenovo ThinkSystem Entry Level Compute and Storage Solution for AI Training Workloads
Reference Architecture , published 14 Jul 2020
ThinkSystem SR670
Datasheet , last updated 28 Apr 2020
3D Tour: ThinkSystem SR670 Server
Interactive 3D Tour , last updated 10 Apr 2019
What's New - January 2019
Article , published 29 Jan 2019
Lenovo ThinkSystem SR670 Server Video Walkthrough
Video , published 11 Oct 2018

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case studies

How customers use SR670

Case Study: Vienna BioCenter

Putting powerful, diverse HPC resources at scientists’ fingertips to support cutting-edge interdisciplinary research.

Five leading research institutes based in Vienna join forces to build a unique high-performance computing environment capable of supporting a diverse range of scientific workloads, based on Lenovo ThinkSystem servers.

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How customers use SR670

Case Study: Neoscape

Producing stunning, photorealistic visual effects from anywhere.

Video is a key component of Neoscape’s storytelling, and the company is always looking for ways to push the boundaries of quality, realism and resolution in its creative projects. With Lenovo ThinkPad, ThinkStation and ThinkSystem solutions with powerful NVIDIA® Quadro® RTX GPUs, Neoscape has slashed rendering times for animations from hours to minutes and enabled mobile working.

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How customers use SR670

Case Study: The University of Victoria

Expanding knowledge with high-performance computing in the cloud:

The University of Victoria uses Lenovo ThinkSystem solutions, powered by 2nd Gen Intel® Xeon® Scalable processors, to enable new types of research projects such as improving synthetic organs, with cloud-based artificial intelligence and machine learning.

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