What exactly do you want, theoretical understanding, practical coding tips, or hardcore optimization tips? I can think of a few links off the top of my head. Also keep on top of siggraph and gdc presentations, graphics programmer twitter and blogs, don't skimp on this.
Theoretical/Overview/Better understanding stuff
https://developer.nvidia.com/content/life-triangle-nvidias-logical-pipeline
https://fgiesen.wordpress.com/2011/07/09/a-trip-through-the-graphics-pipeline-2011-index/
https://drive.google.com/file/d/12ahbqGXNfY3V-1Gj5cvne2AH4BFWZHGD/view
I can't fix the link, so in the address of the browser delete everything after view. this is related to
https://veganpower.github.io/LondonGpu/
so you can view the link here under gpu architecture.
https://therealmjp.github.io/posts/breaking-down-barriers-part-1-whats-a-barrier/
https://drive.google.com/file/d/12ahbqGXNfY3V-1Gj5cvne2AH4BFWZHGD/view
I can't fix the link, so in the address of the browser delete everything after view. this is related to
https://veganpower.github.io/LondonGpu/
Low Level info
Under ISA docs https://developer.amd.com/resources/developer-guides-manuals/
https://gpuopen.com/documentation/
google search “amd gpu white papers” and “nvidia gpu white papers” these are very important they are about specific gpu families but at the same level as the theoretical above.
More practical stuff
https://gpuopen.com
https://developer.nvidia.com/blog/category/graphics-simulation/
https://developer.nvidia.com/blog/thinking-parallel-part-i-collision-detection-gpu/
As I said above GDC and siggraph presentations, graphics programmers' blogs and twitters.
Even more practical stuff
Learning how to use renderdoc
Learning how to use GPU profilers
Learning how to use something like https://gpuopen.com/introducing-radeon-memory-visualizer/
Also if doing pure GPGPU (general programming on the GPU i.e. general purpose gpu) look into CUDA, OpenCL, C++ AMP and others.
If you get more specific I might know a few more links.