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  "text": "Gram Newton-Schulz’s CuTeDSL symmetric kernels now support Blackwell consumer cards like RTX 5090!\n\nThis should be especially helpful for finetuning/RL on on-device models, where Muon’s Newton-Schulz routine occurs more frequently due to smaller batch sizes.\n\nWe see 2x faster Newton-Schulz and 1.7x faster optimizer time on 15 layers of the recent Gemma-4 E2B model with Gram Newton-Schulz.\n\nHuge thanks to the open source contribution that enabled Blackwell consumer symmetric GEMM support in Quack (PR linked below) - we’re super excited to see interest in on-device Muon from the community (and hope that Quack's symmetric kernel abstraction is convenient to use 🙂)!\n\nOriginal work with @noahamsel @_berlinchen @tri_dao \n\nCode linked below:",
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