Docker + OKE: Running GPU Inference Containers on Oracle Cloud
📰 Dev.to · Pavan Madduri
Run GPU inference containers on Oracle Cloud using Docker and OKE to save on costs
Action Steps
- Create an Oracle Cloud account and set up an OKE cluster
- Install Docker and configure it to work with OKE
- Build a Docker image for your LLM inference API
- Deploy the Docker container to OKE and configure GPU inference
- Test and optimize the performance of your LLM inference API on OKE
Who Needs to Know This
DevOps engineers and developers can benefit from this approach to deploy LLM inference APIs on Oracle Cloud, reducing costs and improving efficiency
Key Insight
💡 Using Docker and OKE on Oracle Cloud can significantly reduce the costs of running GPU inference containers for LLM inference APIs
Share This
💡 Run GPU inference containers on Oracle Cloud using Docker + OKE and save $1,200/month on AWS costs!
Full Article
I wanted to deploy an LLM inference API without spending $1,200/month on AWS GPU instances. OCI...
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