GaLore: Advancing Large Model Training on Consumer-grade Hardware

it's fine, but don't expect miracles when training massive models on consumer cards. gaLore is great for hobbyists and quick iteration, but trying to squeeze a 70B parameter model onto an RTX 4090 doesn't scale like putting it on an A100 cluster. you're trading speed for stability, and sometimes the trade-off is just making the job incrementally slower. we're still bottlenecked by memory bandwidth and interconnects, not just raw compute power.

the real bottleneck isn't the GPU; it's the distributed memory management and the sheer size of the weights you're trying to juggle. don't think you're revolutionizing training just by using a better card; you're just finding a cleverer way to fit the problem into the existing hardware constraints. expect long training times and more debugging sessions.