Difference between revisions of "NVIDIA"
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* [[NVIDIA Jetson Nano]] | * [[NVIDIA Jetson Nano]] | ||
* [[ChatGPT#NVIDIA A100 HPC (High-Performance Computing) Accelerator|NVIDIA A100 HPC (High-Performance Computing) Accelerator for ChatGPT]] | * [[ChatGPT#NVIDIA A100 HPC (High-Performance Computing) Accelerator|NVIDIA A100 HPC (High-Performance Computing) Accelerator for ChatGPT]] | ||
| + | * [[Computer_Networks#Space-based Data Centers|Space-based Data Centers]] | ||
* [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] | ||
Latest revision as of 07:46, 5 September 2026
Youtube search... ...Google search
- NVIDIA YouTube Channel
- The AI Podcast | Nvidia
- Development ... Notebooks ... AI Pair Programming ... Codeless ... Hugging Face ... AIOps/MLOps ... 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
- Space-based Data Centers
- 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
- Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
- 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
