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Chapter 3. TerraTorch configuration options for geospatial model serving

Use the Red Hat AI Inference Server server arguments when starting AI Inference Server with the TerraTorch backend for geospatial model serving.

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Table 3.1. Required Red Hat AI Inference Server server arguments for TerraTorch
ArgumentDescription

--skip-tokenizer-init

Skips tokenizer initialization. Vision models do not require a tokenizer.

--enforce-eager

Disables CUDA graph optimization for compatibility with geospatial model architectures.

--io-processor-plugin terratorch_segmentation

Specifies the I/O processor plugin for segmentation tasks.

--enable-mm-embeds

Enables multimodal embeddings for processing geospatial imagery.

Geospatial model serving with TerraTorch exposes the /pooling POST API endpoint for geospatial imagery inference requests.

Example request payload

{
  "model": "ibm-nasa-geospatial/Prithvi-EO-2.0-300M-TL-Sen1Floods11",
  "data": {
    "data": "https://huggingface.co/ibm-nasa-geospatial/Prithvi-EO-2.0-300M-TL-Sen1Floods11/resolve/main/examples/India_900498_S2Hand.tif",
    "data_format": "url",
    "image_format": "tiff",
    "out_data_format": "b64_json"
  },
  "priority": 0
}
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