![GTC 2020: Building MSOE's GPU-Powered Infrastructure for AI Instruction and Research | NVIDIA Developer GTC 2020: Building MSOE's GPU-Powered Infrastructure for AI Instruction and Research | NVIDIA Developer](https://developer.download.nvidia.com/video/gputechconf/gtc/2020/splash/s21423-building-msoe_s-gpu-powered-infrastructure-for-ai-instruction-and-research.jpg)
GTC 2020: Building MSOE's GPU-Powered Infrastructure for AI Instruction and Research | NVIDIA Developer
![NVIDIA Research: Transferring Dexterous Manipulation from GPU Simulation to a Remote, Real-World, TriFinger Task | NVIDIA Technical Blog NVIDIA Research: Transferring Dexterous Manipulation from GPU Simulation to a Remote, Real-World, TriFinger Task | NVIDIA Technical Blog](https://developer-blogs.nvidia.com/wp-content/uploads/2021/09/large-scale-GPU-simulation-robot-learning.png)
NVIDIA Research: Transferring Dexterous Manipulation from GPU Simulation to a Remote, Real-World, TriFinger Task | NVIDIA Technical Blog
![BIZON X8000 – Single AMD EPYC 7003/7002-Series CPU – Scientific Research and Deep Learning AI GPU Server – Up to 4 GPU, Up to 64 Cores CPU BIZON X8000 – Single AMD EPYC 7003/7002-Series CPU – Scientific Research and Deep Learning AI GPU Server – Up to 4 GPU, Up to 64 Cores CPU](https://bizon-tech.com/media/catalog/product/cache/1/image/9df78eab33525d08d6e5fb8d27136e95/x/8/x8000_mobile_3.jpg)
BIZON X8000 – Single AMD EPYC 7003/7002-Series CPU – Scientific Research and Deep Learning AI GPU Server – Up to 4 GPU, Up to 64 Cores CPU
![Researchers From NVIDIA, Stanford University and Microsoft Research Propose Efficient Trillion-Parameter Language Model Training on GPU Clusters - MarkTechPost Researchers From NVIDIA, Stanford University and Microsoft Research Propose Efficient Trillion-Parameter Language Model Training on GPU Clusters - MarkTechPost](https://www.marktechpost.com/wp-content/uploads/2021/04/Screen-Shot-2021-04-19-at-6.09.23-PM.png)
Researchers From NVIDIA, Stanford University and Microsoft Research Propose Efficient Trillion-Parameter Language Model Training on GPU Clusters - MarkTechPost
![Nvidia Donates GPU Hardware for Research and Virtual Reality Simulations - Division of Information Technology | University of South Carolina Nvidia Donates GPU Hardware for Research and Virtual Reality Simulations - Division of Information Technology | University of South Carolina](https://www.sc.edu/about/offices_and_divisions/division_of_information_technology/images/rci/nvidia_pic.jpg)
Nvidia Donates GPU Hardware for Research and Virtual Reality Simulations - Division of Information Technology | University of South Carolina
![Meta Unveils The AI Research SuperCluster Supercomputer, Powered By NVIDIA's A100 GPU & Packs 220 PFLOPs Horsepower Meta Unveils The AI Research SuperCluster Supercomputer, Powered By NVIDIA's A100 GPU & Packs 220 PFLOPs Horsepower](https://cdn.wccftech.com/wp-content/uploads/2022/01/272600494_980161572916475_3328327650672559297_n-1.jpg)
Meta Unveils The AI Research SuperCluster Supercomputer, Powered By NVIDIA's A100 GPU & Packs 220 PFLOPs Horsepower
![Powering the next generation of trustworthy AI in a confidential cloud using NVIDIA GPUs - Microsoft Research Powering the next generation of trustworthy AI in a confidential cloud using NVIDIA GPUs - Microsoft Research](https://www.microsoft.com/en-us/research/uploads/prod/2022/03/1400x788_Confidential_GPU_still-scaled.jpg)