LibVF.IO VS PostgreSQL

Maybe you can try LibVF.IO

I'm on Linux and I'm running a 3070 Ti (Nvidia). I have always wanted to do GPU virtualization but because NVIDIA won't release vGPU for consumer card no one can do it without crossing legal red tape or problems with bricking your GPU. I did find this [https://github.com/jamesstringerparsec/Easy-GPU-PV] however it is only for windows, I found this [https://github.com/Arc-Compute/LibVF.IO/] and does not work with my GPU, and this [https://github.com/DualCoder/vgpu_unlock] and can't get it to work. Done any one know an alternative on Linux that work just like this, overcoming these problems (on KVM)?

If you are willing to thinker with you gpu driver you could look up libvfio and create multiple VM with the same gpu.

It seems they have issues with recent drivers/kernel, too: https://github.com/Arc-Compute/LibVF.IO/issues/61

I ran it like a year ago it was fine but not for my workflow. Might revisit the setup soon since it matured a lot since then. I suggest you also look at: https://github.com/Arc-Compute/LibVF.IO

For Affinity, I don't know. I have heard of people using Photoshop via VM, the problem usually comes when you need to utilize a lot of GPU because outside of GPU passthrough (might worth researching single-GPU passthrough and libvfio if you don't want to use two GPUs), GPU performance isn't great for VMs. I did find a few threads on the subject of Affinity on Linux, though, so maybe those could help.

I feel you on this. Looking forward to running libvf. Wine has come a long ways, but I ended up keeping a old PC a secondary to not deal with the hacking/workarounds to run some games. Using the older system for my Linux.

It's theoretically possible using a method like libvfio. This should allow you to split your gpu into 2 virtual gpus. It's designed for use with a vm, but could likely work with multi seat

Perhaps not the "best" source code I've ever read, but libVF.io had some beautiful code for what's generally gnarly system-glue code. The iommu setup code is a good example and inspires me to think that system-glue code doesn't need to be gross or impenetrable: https://github.com/Arc-Compute/LibVF.IO/blob/master/src/libv...

Another one I've appreciated reading (and learned more about 2d graphics from) is Pixie, a 2d graphics library written in Nim. Here's the implementation of a fair subset of SVG paths: https://github.com/treeform/pixie/blob/master/src/pixie/path...

And one last one for basic algorithms: https://github.com/nim-lang/Nim/blob/version-1-6/lib/pure/al...

Of course Knuth's original code is still some of the best classic code. K&R's original C book is a classic.

PostgreSQL

The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

Node.js, MySQL and PostgreSQL servers installed on your machine

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:

PostgreSQL