Deploy model to Ray object store
Models
Deploy model to Ray object store
Pre-load model weights into the Ray object store for fast access by plugins.
This operation:
- Downloads the model archive from S3
- Deserializes weights based on format (safetensors, pytorch, etc.)
- Stores weights in Ray object store for zero-copy sharing
After deployment, plugins can load the model instantly using:
from engine.models.loader import load_namespace_model
weights = load_namespace_model("model_id")
Note: This is optional - models are also loaded on-demand when plugins first request them. Use this endpoint to pre-warm the cache.
POST
Deploy model to Ray object store
Headers
Bearer token authentication using your API key. Format: 'Bearer sk_xxxxxxxxxxxxx'. You can create API keys in the Mixpeek dashboard under Organization Settings.
Example:
"Bearer YOUR_MIXPEEK_API_KEY"
Response
Successful Response
Response model for model deployment.
Deploying a model pre-loads the weights into the Ray object store, making them available for zero-copy access by plugins.