---
title: "A Closer Look: How OSU Deployed Supermicro's NVIDIA GH200 Systems"
description: Get practical insights and understand how to optimize your infrastructure for demanding AI and HPC applications.
---

[Supermicro Data Center Stories](https://learn-more.supermicro.com/data-center-stories)

# [A Closer Look: How OSU Deployed Supermicro's NVIDIA GH200 Systems](https://learn-more.supermicro.com/data-center-stories/a-closer-look-how-osu-deployed-supermicros-nvidia-gh200-systems)

 Written by [Supermicro Experts](https://learn-more.supermicro.com/data-center-stories/author/supermicro-experts) | Mar 27, 2025 10:33:58 PM

Supermicro's [MGX Systems](https://www.supermicro.com/en/accelerators/nvidia/hopper-ada-lovelace) featuring the NVIDIA GH200 Grace Hopper superchip were recently discussed in our recent [webinar](https://www.brighttalk.com/webcast/17278/636100?utm_source=Supermicro&utm_medium=brighttalk&utm_campaign=636100)with Oregon State University's Christopher Sullivan, Director of Research and Academic Computing, College of Earth, Ocean and Atmospheric Sciences and Josh Grossman, Principal Product Manager at Supermicro. 

Watch Now: [Innovation Spotlight: Supermicro's MGX Systems with NVIDIA GH200 Grace Hopper Superchip](https://www.brighttalk.com/webcast/17278/636100?utm_source=Supermicro&utm_medium=brighttalk&utm_campaign=636100)

### Here were some key takeaways:

- The NVIDIA GH200 architecture removes bottlenecks in performance.
- Target markets include finance, telco, and scientific computing.
- Grace Hopper systems are cost-effective for training large AI models.
- Real-world applications include hydrodynamic simulations and [computer vision](https://www.supermicro.com/en/glossary/computer-vision).
- [Liquid cooling](https://www.supermicro.com/en/glossary/liquid-cooling) offers significant performance improvements.
- Grace Hopper allows for scaling simulations with minimal cost increase.
- Innovative applications in marine research and environmental monitoring.
- Networking configurations are crucial for high-speed deployments.
- Energy recapture capabilities are important for sustainability. 

## Webinar Highlights:

### Grace Hopper: Cost-Effective AI Training

Josh: "it's a great way to get these boxes in the lab and in deployments"

### Supermicro's NVIDIA Grace Hopper Systems: A Game Changer

Josh: "Our customers are kind of really leading the way with their use cases and discovering areas where this presents really a game change in terms of the way they're doing their computing. "

### Liquid Cooling Boosts Data Center Performance and Efficiency

Chris: "We worked very closely with Supermicro on some other liquid-cooling technologies....And we found a tremendous performance increase by moving to liquid cooling."

### Leveraging LLMs for Crab Species Identification

Chris: "Without having large models being trained, we won't be able to see the differences between certain species. "

 

This is just a preview of some of the use cases that OSU discussed in the webinar. Watch the on-demand webinar to learn how the deployment of Supermicro Solutions can be for your organization.

[Watch: Innovation Spotlight: Supermicro's MGX Systems with NVIDIA GH200 Grace Hopper Superchip](https://www.brighttalk.com/webcast/17278/636100?utm_source=Supermicro&utm_medium=brighttalk&utm_campaign=636100)

 

Additional Resources:

- <https://www.brighttalk.com/webcast/17278/604378>[Supermicro JumpStart Program --Get free remote access to NVIDIA GH200 System](https://www.supermicro.com/jumpstart/schedule/model/Supermicro%20NVIDIA%20MGX%20System%20with%20NVIDIA%20GH200%20Grace%20Hopper%20Superchip)
- [Whitepaper: Select the Right AI System for Your Workloads](https://www.supermicro.com/en/accelerators/nvidia/hopper-ada-lovelace)
- [Supermicro NVIDIA MGX Systems](https://www.supermicro.com/en/accelerators/nvidia/mgx?utm_source=mgx&utm_medium=301)
- [Supermicro Webinar Channel](https://www.brighttalk.com/channel/17278/)

[View full post](https://learn-more.supermicro.com/data-center-stories/a-closer-look-how-osu-deployed-supermicros-nvidia-gh200-systems)

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