[pbalcer]

Disclaimer: I work on this stuff for Intel

At least for Intel, that is just not true. Intel's DPC++ is as open as it gets. It implements a Khronos standard (SYCL), most of the development is happening in public on GitHub, it's permissively licensed, it has a viable backend infrastructure (with implementations for both CUDA and HIP). There's also now a UXL foundation with the goal of creating an "open standard accelerator software ecosystem".

[stonogo]

This is all great, but how can we trust this will be supported next year? After Xeon Phi, Omnipath, and a host of other killed projects, Intel is approaching Google levels of mean time to deprecation.

[J_Shelby_J]

Neat. Now release 48gb GPUs to the hobbyist devs and we’ll use intel for LLMs!

[redandblack]

Apple is your savior if you are looking at it as a CPU/GPU/NPU package for consumer/hobbyists.

I decided that I have to start looking at Apple's AI docs

[ur-whale]

Actual links to the github would be much appreciated, as well a half-page tuto on how to get this up an running on a simple Linux+Intel setup.

[mepian]

This link should cover everything: https://www.intel.com/content/www/us/en/developer/tools/onea...