Цена 1 часа рабочей силы, как правило снижается.

NVIDIA DEVELOPER

Материал из m-17.info

(Различия между версиями)
Перейти к: навигация, поиск
(разное)
Строка 35: Строка 35:
==разное==
==разное==
* youtube.com/watch?v=-AJhJKSx_70
* youtube.com/watch?v=-AJhJKSx_70
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==Beam==
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Windows
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Install Visual Studio >= 2017 with CMake support.
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Download and install OpenSSL prebuilt binaries https://slproweb.com/products/Win32OpenSSL.html (Win64 OpenSSL v1.1.0h for example).
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Download and install CUDA Toolkit https://developer.nvidia.com/cuda-downloads
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Open project folder in Visual Studio, select your target (x64-Release for example, if you downloaded 64bit OpenSSL) and select CMake -> Build All.
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Go to CMake -> Cache -> Open Cache Folder -> beam-cuda-miner (you'll find beam-cuda-miner.exe).
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Версия 16:58, 8 апреля 2021


/ 17march_Users / Участник:Kernel Panic / Media development / Hardware и криптовалюты /


Содержание

Software

  • nvidia.com/ru-ru/data-center/virtual-compute-server/
  • docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions
  • developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=CentOS
  • docs.nvidia.com/grid/latest/grid-vgpu-user-guide/index.html
  • www.techpowerup.com/forums/threads/nvidia-tesla-k80-questions.259865/ -исповедь на заданную тему
  • Linux Debian 10 x86_64
$ wget https://developer.download.nvidia.com/compute/cuda/11.2.0/local_installers/cuda_11.2.0_460.27.04_linux.run
$ sudo sh cuda_11.2.0_460.27.04_linux.run
  • youtube.com/watch?v=M97qZHykCXQ
  • docs.microsoft.com/en-us/virtualization/hyper-v-on-windows/reference/hyper-v-requirements
  • docs.microsoft.com/en-us/windows-server/virtualization/hyper-v/plan/plan-for-gpu-acceleration-in-windows-server
  • qastack.ru/superuser/779070/use-nvidia-gpu-from-virtualbox
  • superuser.com/questions/779070/use-nvidia-gpu-from-virtualbox

Соло майнинг

[Network]
DHCP=no
Address=192.168.0.189/24
Gateway=192.168.0.1
DNS=192.168.0.1

Bios

  • youtube.com/watch?v=rbh1irDL3oA

Hardware

  • nvidia.com/en-us/data-center/resources/vgpu-certified-servers/

разное

  • youtube.com/watch?v=-AJhJKSx_70

Beam

Windows

Install Visual Studio >= 2017 with CMake support.

Download and install OpenSSL prebuilt binaries https://slproweb.com/products/Win32OpenSSL.html (Win64 OpenSSL v1.1.0h for example).

Download and install CUDA Toolkit https://developer.nvidia.com/cuda-downloads

Open project folder in Visual Studio, select your target (x64-Release for example, if you downloaded 64bit OpenSSL) and select CMake -> Build All.

Go to CMake -> Cache -> Open Cache Folder -> beam-cuda-miner (you'll find beam-cuda-miner.exe).


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