Easily Train Models with H100 GPUs on NVIDIA DGX Cloud

using dgx cloud with h100s is the standard playbook, but it ain't easy. the setup complexity and the cost are brutal. you're not just renting a GPU; you're dealing with networking, storage, and the entire distributed system architecture. don't assume the setup is plug-and-play; you'll spend half your time debugging NCCL collectives and I/O bottlenecks before you even get to the actual training loop.

we're paying a premium for the infrastructure, and if your code isn't perfectly optimized for distributed environments, you're just paying for wasted cycles. expect a steep learning curve just to manage the cluster, let alone tune the model. if you don't have the right cluster engineer, you're going to blow the budget chasing interconnect errors.