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'For blogpost' : Deep Learning machine setup
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$ lscpu | |
Architecture: x86_64 | |
CPU op-mode(s): 32-bit, 64-bit | |
Byte Order: Little Endian | |
CPU(s): 8 | |
On-line CPU(s) list: 0-7 | |
Thread(s) per core: 2 | |
Core(s) per socket: 4 | |
Socket(s): 1 | |
NUMA node(s): 1 | |
Vendor ID: GenuineIntel | |
CPU family: 6 | |
Model: 94 | |
Model name: Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz | |
Stepping: 3 | |
CPU MHz: 911.875 | |
CPU max MHz: 4200.0000 | |
CPU min MHz: 800.0000 | |
BogoMIPS: 8016.72 | |
Virtualization: VT-x | |
L1d cache: 32K | |
L1i cache: 32K | |
L2 cache: 256K | |
L3 cache: 8192K | |
NUMA node0 CPU(s): 0-7 | |
$ nvidia-smi | |
Wed Apr 26 13:04:14 2017 | |
+-----------------------------------------------------------------------------+ | |
| NVIDIA-SMI 375.39 Driver Version: 375.39 | | |
|-------------------------------+----------------------+----------------------+ | |
| 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 106... Off | 0000:01:00.0 Off | N/A | | |
| 57% 72C P2 139W / 200W | 5924MiB / 6072MiB | 100% Default | | |
+-------------------------------+----------------------+----------------------+ | |
+-----------------------------------------------------------------------------+ | |
| Processes: GPU Memory | | |
| GPU PID Type Process name Usage | | |
|=============================================================================| | |
| 0 1085 G /usr/lib/xorg/Xorg 70MiB | | |
| 0 2845 G /usr/lib/xorg/Xorg 204MiB | | |
| 0 3483 G compiz 141MiB | | |
| 0 4259 G ...s-passed-by-fd --v8-snapshot-passed-by-fd 22MiB | | |
| 0 8887 G /usr/lib/xorg/Xorg 70MiB | | |
+-----------------------------------------------------------------------------+ | |
$ nvidia-smi --query-gpu=name --format=csv,noheader | |
GeForce GTX 1060 6GB |
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