Welcome everyone to our ‘Queue the Questions’ AMA event on VM Families!
This week, we are going to answer your questions about the Google Compute Engine Virtual Machine Families.
You can find more information about the event here.
We are thrilled today to be joined by our special guests @ Moazzam, @ chelsie, and @SubraC, @jamiekinney to answer your questions about the multiple general purpose VMs to workload optimized VM families, including the new addition to our general purpose family, Tau.
We are currently accepting requests to access the Preview of Tau VMs. GA is planned for later in the year. Please contact your Google Cloud account team if you would like early access to Tau T2D VMs.
Tau VMs have been designed to support scale-out workloads which benefit from higher per-vCPU performance. For example, Tau VMs offer excellent price-performance for horizontally scaled workloads like web and application serving, image processing, and media transcoding. Databases and other workloads that require our highest performance Local SSD and Persistent Disk storage may be better suited for our N2 and N2D general purpose VM families.
I have a VM that I did not update to the latest LTS (UBUNTU 20.04) How can I update the image, to first 18.04 and then 20.04 via the console? I have a web server (apache) running a python/django? What’s the safest way to do this without losing my config or site? I am ok with a little downtime.
Welcome to Ubuntu 16.04.7 LTS (GNU/Linux 4.15.0-1098-gcp x86_64)
Do I follow the normal process of
New release ‘18.04.5 LTS’ available. Run ‘do-release-upgrade’ to upgrade to it.
I recommend that you first take a backup of your VM so that you can easily revert back to your earlier configuration. For persistent disk, you can use the PD snapshot feature to backup your block storage. If you are storing any configuration or site data in GCS, you may also want to make a copy of that data.
Regarding the actual upgrade from Ubuntu 16.04.7 to 18.04.5, we have detailed documentation available here.
Local SSD (docs here) is our highest-performance block storage. Local SSD is typically used for high-performance filesystems, caching systems, and databases which are able to run on ephemeral storage.
Persistent disks are durable network storage devices that your instances can access like physical disks in a desktop or a server. The data on each persistent disk is distributed across several physical disks. Compute Engine manages the physical disks and the data distribution for you to ensure redundancy and optimal performance.
Persistent disks are located independently from your virtual machine (VM) instances, so you can detach or move persistent disks to keep your data even after you delete your instances. Persistent disk performance scales automatically with size, so you can resize your existing persistent disks or add more persistent disks to an instance to meet your performance and storage space requirements.
Google Cloud customers typically use Persistent Disks for the OS filesystem on their virtual machines and to provide storage for any workload that required highly-available, durable storage.
Hi Diannegibson401, Thanks for the question!
Within our Accelerator Optimized VM family, A2, we support Nvidia’s A100 GPU. Google Cloud is the only platform that provides up to 16 A100 GPUs attached to a single A2 vm for mega performance. Read more about what you can do with the Accelerator Optimized Family here: https://cloud.google.com/blog/products/compute/a2-vms-with-nvidia-a100-gpus-are-ga.
We also have T4 and V100 GPUs avaialble via our original N1 VM family. To know which regions and zones each GPU is available in check here: https://cloud.google.com/compute/docs/gpus/gpu-regions-zones