In February 2017, Google announced the availability GPU-based VMs. I spun up a few of these instances, and ran some benchmarks. Along the way, I wrote down the steps taken to provision these VM instances, and install relevant drivers.
Update April 2019: Updated instructions to use instances with the Tesla T4 GPUs.
| """ | |
| MIT License | |
| Copyright (c) 2018 Mitchel Cabuloy | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is |
| import asyncio | |
| import threading | |
| import random | |
| def thr(i): | |
| # we need to create a new loop for the thread, and set it as the 'default' | |
| # loop that will be returned by calls to asyncio.get_event_loop() from this | |
| # thread. | |
| loop = asyncio.new_event_loop() |
| Mounting block device in lxc (specifically Proxmox 4) | |
| 1. Find devices' major & minor ID (need both dev + partition for HDD) | |
| # ls -al /dev/sda | |
| brw-rw---- 1 root disk 8, 0 Dec 19 11:16 /dev/sda1 | |
| # ls -al /dev/sda1 | |
| brw-rw---- 1 root disk 8, 1 Dec 19 11:16 /dev/sda1 | |
| That's 8,0 for sda and 8,1 for sda1 |
#Docker image save/load by SSH From Easily transfer docker images between two machines over the network
docker save busybox:latest | ssh -i ~/philipz/key.pem XXXX@192.168.2.18 'docker load'
#Docker-machine First, use $(docker-machine env XXXXX) to get control env parameter. Then you can use docker access remote cloud machine.
docker save busybox:latest | ssh -i ~/.docker/machine/machines/azdocker2/id_rsa ubuntu@azdocker2.cloudapp.net sudo docker load