CerebriumAI/examples
Examples for Cerebrium Serverless GPUs
This collection of examples helps you build and deploy Machine Learning and AI applications, specifically those involving large language models, voice processing, or image and video tasks. It provides ready-to-use projects with detailed deployment instructions, allowing you to turn data (like text, audio, or images) into intelligent insights or automated actions. This is for AI/ML engineers and developers who need to quickly implement and deploy AI models.
522 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you are an AI/ML engineer looking for practical, ready-to-use project templates to deploy various AI models on a serverless GPU platform.
Not ideal if you are a business user without technical ML deployment skills, as this requires coding and platform-specific commands.
Stars
522
Forks
74
Language
Python
License
—
Category
Last pushed
Mar 19, 2026
Commits (30d)
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/CerebriumAI/examples"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
mlflow/mlflow
The open source AI engineering platform. MLflow enables teams of all sizes to debug, evaluate,...
kitops-ml/kitops
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets,...
aws-samples/mlops-e2e
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
tensorchord/envd
🏕️ Reproducible development environment for humans and agents
techiescamp/mlops-for-devops
MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations