Difference between revisions of "CUDA"
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| − | [[wikipedia:CUDA]] (Compute Unified Device Architecture) (2007) is a parallel computing platform and application programming interface ([[API]]) model created by | + | [[wikipedia:CUDA]] (Compute Unified Device Architecture) (2007) is a parallel computing platform and application programming interface ([[API]]) model created by [[NVDIA]]. |
| Line 6: | Line 6: | ||
* <code>[[nvcc]]</code> | * <code>[[nvcc]]</code> | ||
* [[cuda-smi]] | * [[cuda-smi]] | ||
| + | * [[brew cask install]] cuda-z | ||
| + | * <code>[[nvidia-smi]]</code> | ||
| + | * [[PyTorch]] | ||
| + | * [[TensorFlow]] | ||
| + | * <code>[[ethminer --list-devices]]</code> | ||
| + | * [[AMI]]: [[AWS Deep Learning Base AMI GPU CUDA 11]] | ||
| + | * [[NVIDIA driver]] | ||
| + | * [[cuda-drivers]] | ||
| + | * [[AlexNet]] | ||
| + | * [[Stable Diffusion]] | ||
== See also == | == See also == | ||
* {{Nvidia}} | * {{Nvidia}} | ||
* {{GPU}} | * {{GPU}} | ||
| + | * {{CUDA}} | ||
[[Category:Computing]] | [[Category:Computing]] | ||
Latest revision as of 18:22, 27 February 2024
wikipedia:CUDA (Compute Unified Device Architecture) (2007) is a parallel computing platform and application programming interface (API) model created by NVDIA.
Related terms[edit]
nvcc- cuda-smi
- brew cask install cuda-z
nvidia-smi- PyTorch
- TensorFlow
ethminer --list-devices- AMI: AWS Deep Learning Base AMI GPU CUDA 11
- NVIDIA driver
- cuda-drivers
- AlexNet
- Stable Diffusion
See also[edit]
- Nvidia, GPU,
nvidia-smi, CUDA, Nvidia Drive, Tegra, EVGA Corporation, A100, H100, T4, L4,gpustat, Nvidia Xavier, NVML, TOPS, Nvidia broadcast, Mellanox, Jensen Huang, NVIDIA driver, Nvidia RTX, Tensor Cores, Nvidia DGX, Nvidia Omniverse Cloud, Drive Thor, Ada, Hopper - GPU, eGPU, OpenCL, CUDA, ROCm, Nvidia, Nvidia Tesla, AMD, RTX,
gpustat, Teraflop, Ethash, Pytorch, Pascal GPU, TBDR, A100, H100, TRIP, AMD Instinct MI100, AMD Radeon, LPU, TFLOP - GPU, CUDA, ROCm, Stable Diffusion
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