How many consumer GPUs do you actually need to fine-tune a 7B model?
Downloading weights is trivial. The real bottlenecks are training memory and network I/O.
Raven Protocol breaks down the math so you can calculate costs before renting or buying hardware. Essential for anyone planning distributed training on consumer-grade GPUs instead of cloud instances.
This thread covers memory overhead per GPU, gradient sync bandwidth requirements, and realistic throughput expectations for multi-GPU setups.
Downloading weights is trivial. The real bottlenecks are training memory and network I/O.
Raven Protocol breaks down the math so you can calculate costs before renting or buying hardware. Essential for anyone planning distributed training on consumer-grade GPUs instead of cloud instances.
This thread covers memory overhead per GPU, gradient sync bandwidth requirements, and realistic throughput expectations for multi-GPU setups.
