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Manage a model quantization job
Model quantization provides you with a dedicated environment to develop and experiment with your AI models. After creating a model quantization job, follow these steps to seamlessly manage your model training job: Step 1: Accessing Model Quantization ...
Create a quantization job
To create a quantization job, you'll need to provide the following information: Steps to Create a Quantization Tuning Job Access the Quantization Job Creation Interface: Use the provider's platform through the url: ...
Batch Inference
GreenNode Batch Inference allows you to submit groups of requests that are processed asynchronously on GreenNode’s high-performance infrastructure. It’s designed for workloads that do not require immediate responses, providing up to 50% lower costs, ...
Manage a Model Registry
The Model Registry serves as a centralized repository to track, organize, and manage your AI/ML models. It ensures reproducibility, versioning, and simplifies deployment. Follow this guide to understand how to manage your model registry and prepare ...
Automated Scheduling for Model Endpoint
The Automated Scheduling feature allows users to define specific times for automatically starting or stopping Model Endpoint. This helps optimize cloud usage, reduce unnecessary costs, and ensure that compute resources are only active when needed. ...