NVIDIA's parallel computing platform and programming model with a vast library and developer ecosystem.
Anthropic's IPO roadshow materials reveal that Claude Mythos Preview took only about three days to get another model running inference on AMD MI355X GPUs, versus the usual 6-12 months for cross-platform porting. The result suggests GPUs are becoming interchangeable compute, putting fresh pressure on NVIDIA's CUDA moat, though its developer ecosystem and NCCL/NVLink integration remain the real barrier.
Drawing on roughly ten months of building a reinforcement learning training framework from scratch, the author distills core knowledge on GPU execution models, memory hierarchies, and kernel optimization, with companion profiling and tuning-flag guidance aimed at agents. It is an engineering-oriented primer rather than a novel research result, best suited to developers seeking a grounding in low-level GPU performance tuning.