![]() It doesn’t matter too much where your availability domain is (provided you can launch GPU instances there), but you do need to know for the next steps. Availability-Domain: I’m in qIZq:US-ASHBURN-AD-1.VM.GPU2.1 has a NVIDIA Tesla P100 attached, which should do just fine for this purpose. Shape: I need an instance that has GPUS. ![]() I’ve elided some of my setup details from the command I’m using, feel free to plug in your own command arguments if you’d like to follow along. Using the CLI, let’s take a look at the command used to launch an instance oci compute instance launch -shape VM.GPU2.1 -availability-domain "qIZq:US-ASHBURN-AD-1" -compartment-id -assign-public-ip true -subnet-id -image-id ".aaaaaaaakdybjqysepqx2iwne24uxdx4apzdcn2ll7kd66a52fgs7w4mz3vq" -ssh-authorized-keys-file Let’s go dive in, shall we? ( Note: I will show examples using the Oracle CLI, but you can do this through the oracle web console as well.) Launching a new instance Now, you can automate this entire process on first boot. You had to figure out your kernel version, and drivers, and then search through package archives to find the right package. Previously, installing NVIDIA GPU drivers was a very manual process. I’m proud to be writing about a new feature that the Canonical team has been working on – NVIDIA GPU driver installation made easy for clouds. With advances in computer vision, AR/VR and other resource-intensive applications on the horizon, the trend shows no sign of slowing either. With cryptocurrency blossoming, AI/ML blooming, and heavy-duty simulations still going strong, the need for a GPU is only increasing. It’s no secret that GPGPUs (general purpose GPU) have been on the rise in the past five years. ![]() As a matter of fact, most public clouds have GPU offerings, which leads us to the meat of this blog post: Oracle Cloud. ![]() The cloud has had its own incredible growth over the years, and it’s only natural that these two technologies are starting to work in harmony. In recent reports, it is stated that datacenter-based GPU deployments is the fastest sector, and again, that’s no surprise. ![]()
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December 2022
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