Роль
cuda
Описание
CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing – an approach termed GPGPU (General-Purpose computing on Graphics Processing Units). The CUDA platform is a software layer that gives direct access to the GPU’s virtual instruction set and parallel computational elements, for the execution of compute kernels.
Modules
Конструктор программного окружения для образовательных курсов по машинному обучению и глубокому обучению.
tensorflow:1.8.0, keras:2.1.2, python:3.6.3, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:396.24, opencv:3.4.1, development_preset:1
A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.
pytorch:0.4.0, python:3.6.3, cuda:9.1.85.3, cudnn:7.1.3, cuda_only-nvidia_drivers:396.24, development_preset:1
A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.
pytorch:0.4.0, python:2.7.14, cuda:9.1.85.3, cudnn:7.1.3, cuda_only-nvidia_drivers:396.24, development_preset:1
A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.
pytorch:0.4.0, python:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1
A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.
pytorch:0.4.0, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1
