u/coding_is_love69

I'm a final year student and they didn't allot me any hostels for this semester. I'm a bit confused about what is to be done.

I want to learn more about NVIDIA GPUs used in industrial-scale Deep Learning and AI systems. things like RTX vs A-series vs H100/DGX systems, multi-GPU training, CUDA/NVLink, robotics/VLA workloads, inference infrastructure, etc.

Is there a collective resource that explains all this properly from an industry perspective, rather than just beginner ML content?

Would appreciate recommendations for whitepapers, blogs, YouTube channels, documentation, benchmarks, or communities that professionals actually use.