Difference between revisions of "NVIDIA"
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* [http://www.youtube.com/user/NVIDIADeveloper/videos NVIDIA YouTube Videos] | * [http://www.youtube.com/user/NVIDIADeveloper/videos NVIDIA YouTube Videos] | ||
* [[Graphical Tools for Modeling AI Components]] | * [[Graphical Tools for Modeling AI Components]] | ||
| − | * [ | + | * [[Metaverse#NVIDIAOmniverse |NVIDIA Omniverse™]] a scalable, multi-GPU real-time reference development platform for 3D simulation and design collaboration, and based on Pixar's Universal Scene Description and NVIDIA RTX™ technology. |
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http://news.developer.nvidia.com/wp-content/uploads/2018/11/slide-1-YZ-r7-768x462.jpg | http://news.developer.nvidia.com/wp-content/uploads/2018/11/slide-1-YZ-r7-768x462.jpg | ||
Revision as of 20:51, 11 December 2021
Youtube search... ...Google search
- NVIDIA YouTube Channel
- The AI Podcast | Nvidia
- Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)
- NVIDIA Developer
- NGC - NVIDIA GPU Cloud
- RAPIDS
- NVIDIA Deep Learning Institute
- GTC Sessions
- NVIDIA Jetson Nano
- Transfer Learning Toolkit a python-based toolkit that enables developers to take advantage of NVIDIA’s pre-trained models and offers capabilities for developers to adapt popular network architectures and backbones to their own data, train, fine tune, prune and export for deployment. The simple interface and abstraction improves the efficiency of the deep learning training workflow.
- NVIDIA Playground
- Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU
- NVIDIA GTC Conferences
- NVIDIA YouTube Videos
- Graphical Tools for Modeling AI Components
- NVIDIA Omniverse™ a scalable, multi-GPU real-time reference development platform for 3D simulation and design collaboration, and based on Pixar's Universal Scene Description and NVIDIA RTX™ technology.
