With powerful NVIDIA GPUs and techniques such as data parallelism, you can train your custom AI models faster.
Using multiple GPUs on a single node offers a performance boost, but hardware limitations might restrict the number of available GPUs. To overcome this, we can leverage distributed training across multiple Oracle Cloud Infrastructure (OCI) instances where we have two or more nodes connected over a network.
This is where parallelism comes in. Parallelism involves breaking down the computation into smaller parts that can be executed simultaneously on different computing resources.