如何使用Coffee Lake在18.04安装NVIDIA CUDA工具包 – 是否支持？
我喜欢18.04的安装，我也很喜欢blender3d。 我需要CUDA工具包才能使用GPU而不是CPU来渲染。
我已经读过，获得正确的工具包或者可能有一些非常糟糕的问题至关重要。 只是想确认它适用于Ubuntu 18.04。
此外，在哪里得到它并确认它是正确的？
谢谢
看起来CUDA 9.1现在实际上在官方的18.04存储库中。 从终端窗口运行以下命令：
sudo apt install nvidia-cuda-toolkit
安装完成后，运行nvcc -V进行确认。 你应该看到类似的东西：
terrance@terrance-ubuntu:~$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2017 NVIDIA Corporation Built on Fri_Nov__3_21:07:56_CDT_2017 Cuda compilation tools, release 9.1, V9.1.85
该工具包还为OpenCL安装必要的驱动程序和支持。 只需安装clinfo并运行它即可：
sudo apt install clinfo
那么你应该得到类似于以下内容：
terrance@terrance-ubuntu:~$ clinfo Number of platforms 1 Platform Name NVIDIA CUDA Platform Vendor NVIDIA Corporation Platform Version OpenCL 1.2 CUDA 9.2.101 Platform Profile FULL_PROFILE Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer Platform Extensions function suffix NV Platform Name NVIDIA CUDA Number of devices 1 Device Name GeForce GTX 760 Device Vendor NVIDIA Corporation Device Vendor ID 0x10de Device Version OpenCL 1.2 CUDA Driver Version 396.24 Device OpenCL C Version OpenCL C 1.2 Device Type GPU Device Topology (NV) PCI-E, 02:00.0 Device Profile FULL_PROFILE Device Available Yes Compiler Available Yes Linker Available Yes Max compute units 6 Max clock frequency 1032MHz Compute Capability (NV) 3.0 Device Partition (core) Max number of sub-devices 1 Supported partition types None Max work item dimensions 3 Max work item sizes 1024x1024x64 Max work group size 1024 Preferred work group size multiple 32 Warp size (NV) 32 Preferred / native vector sizes char 1 / 1 short 1 / 1 int 1 / 1 long 1 / 1 half 0 / 0 (n/a) float 1 / 1 double 1 / 1 (cl_khr_fp64) Half-precision Floating-point support (n/a) Single-precision Floating-point support (core) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Correctly-rounded divide and sqrt operations Yes Double-precision Floating-point support (cl_khr_fp64) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Address bits 64, Little-Endian Global memory size 2095710208 (1.952GiB) Error Correction support No Max memory allocation 523927552 (499.7MiB) Unified memory for Host and Device No Integrated memory (NV) No Minimum alignment for any data type 128 bytes Alignment of base address 4096 bits (512 bytes) Global Memory cache type Read/Write Global Memory cache size 98304 (96KiB) Global Memory cache line size 128 bytes Image support Yes Max number of samplers per kernel 32 Max size for 1D images from buffer 134217728 pixels Max 1D or 2D image array size 2048 images Max 2D image size 16384x16384 pixels Max 3D image size 4096x4096x4096 pixels Max number of read image args 256 Max number of write image args 16 Local memory type Local Local memory size 49152 (48KiB) Registers per block (NV) 65536 Max number of constant args 9 Max constant buffer size 65536 (64KiB) Max size of kernel argument 4352 (4.25KiB) Queue properties Out-of-order execution Yes Profiling Yes Prefer user sync for interop No Profiling timer resolution 1000ns Execution capabilities Run OpenCL kernels Yes Run native kernels No Kernel execution timeout (NV) Yes Concurrent copy and kernel execution (NV) Yes Number of async copy engines 1 printf() buffer size 1048576 (1024KiB) Built-in kernels Device Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer NULL platform behavior clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) NVIDIA CUDA clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [NV] clCreateContext(NULL, ...) [default] Success [NV] clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) No platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) Invalid device type for platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform ICD loader properties ICD loader Name OpenCL ICD Loader ICD loader Vendor OCL Icd free software ICD loader Version 2.2.11 ICD loader Profile OpenCL 2.1
要在18.04LTS中安装NVIDIA图形驱动程序，请按照以下步骤操作：
在终端窗口中，键入：
sudo apt-add-repository ppa:graphics-drivers/ppa
然后运行更新：
sudo apt update
然后安装图形驱动程序：
sudo apt install nvidia-driver-396
重启后，您可以运行nvidia-smi以查看它是否已安装：
terrance@terrance-ubuntu:~$ nvidia-smi Wed May 2 22:38:14 2018 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 396.24 Driver Version: 396.24 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 760 Off | 00000000:02:00.0 N/A | N/A | | 49% 51C P0 N/A / N/A | 262MiB / 1998MiB | N/A Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 Not Supported | +-----------------------------------------------------------------------------+
希望这可以帮助！