Distributed Multi-node AI training with NVIDIA GPUs on Oracle Cloud Infrastructure

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 distribute workloads across multiple Oracle Cloud Infrastructure (OCI) instances, efficiently utilizing interconnected nodes. This is where distributed parallelism comes in.

Parallelism plays a crucial role by breaking computations into smaller tasks that run simultaneously, maximizing resource utilization and reducing training time. This approach unlocks greater efficiency and scalability for training large AI models.
Join us to learn how to scale Distributed Multi-Node Training with NVIDIA H100 GPUs on OCI.

Duration: 1h