Questions about deepspeed multi-node training with sharding parameters inside a single 8-gpu machine
TheHF documentationprovides detailed guide to ZeRO usage. ZeRO2 partitions gradient states across all the gpu nodes (world size), which greatly slows down the training speed for multi-node training (the more nodes we use, the slower the speed is). Is there a way to controlling the sharding degree so that I can only partitions the parameters and gradients only inside a single 8-gpu machine?