Difference between revisions of "NVIDIA"
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* [http://on-demand-gtc.gputechconf.com/gtcnew/on-demand-gtc.php?searchByKeyword=&searchItems=&sessionTopic=&sessionEvent=2&sessionYear=2018&sessionFormat=&submit=&select= GTC Sessions] | * [http://on-demand-gtc.gputechconf.com/gtcnew/on-demand-gtc.php?searchByKeyword=&searchItems=&sessionTopic=&sessionEvent=2&sessionYear=2018&sessionFormat=&submit=&select= GTC Sessions] | ||
* [[NVIDIA Jetson Nano]] | * [[NVIDIA Jetson Nano]] | ||
| + | * [[ChatGPT#NVIDIA A100 HPC (High-Performance Computing) Accelerator|NVIDIA A100 HPC (High-Performance Computing) Accelerator for ChatGPT]] | ||
* [http://developer.nvidia.com/transfer-learning-toolkit 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. | * [http://developer.nvidia.com/transfer-learning-toolkit 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. | ||
* [http://www.nvidia.com/en-us/research/ai-playground/ NVIDIA Playground] | * [http://www.nvidia.com/en-us/research/ai-playground/ NVIDIA Playground] | ||
Revision as of 09:58, 13 June 2023
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
- NVIDIA A100 HPC (High-Performance Computing) Accelerator for ChatGPT
- 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.
- NVIDIA Canvas
