Can I use Oracle Cloud GPUs for large training runs?

Yes — Oracle Cloud Infrastructure (OCI) can be used for large training runs, including GPU-heavy deep learning workloads.

What Oracle Cloud offers

OCI has GPU compute instances for training and inference, including options based on NVIDIA GPUs such as:

• A100-class instances
• H100-class instances in some regions/offerings
• Multi-GPU bare metal and VM shapes
• High-performance networking for distributed training

Good fit for large training runs

OCI can work well if you need:

• Multiple GPUs per node
• Distributed training across nodes
• High throughput storage and networking
• Bare metal access for performance tuning

Things to check first

Before committing, verify:

• GPU availability in your region — capacity can be limited
• Instance shape limits — some shapes may require quota increase
• Storage and bandwidth costs — especially for large datasets and checkpoints
• Networking for distributed jobs — important for multi-node training
• Pricing — GPU instances can be expensive, so estimate total training cost

Practical advice

If you’re planning a serious training run:

1. Request quota early.
2. Test your training stack on a small instance first.
3. Confirm your region has the GPU shape you need.
4. Use object storage or fast block storage for datasets/checkpoints.
5. Monitor spot/interruptible options if cost matters.

If you want, I can help you compare Oracle Cloud GPUs vs AWS/GCP/Azure for large model training.