Unable to load certain Clara Train models, but others load just fine


I am running an AWS EC2 instance which is running the Clara Train SDK. I have successfully set up the Clara Train Server, and have been able to load 2 models onto it using the following syntax:

curl -X PUT "" -H "accept: application/json" -H "Content-Type: application/json"  -d '{"path":"nvidia/med/clara_pt_brain_mri_segmentation_t1c", "version":"1”}’

When I run curl http://$AIAA_URL:LOCAL_PORT/v1/models I recieve the following output:

        "name": "clara_pt_brain_mri_annotation_t1c",
        "labels": [
            "brain tumor core"
        "description": "A pre-trained model for volumetric (3D) segmentation of the tumor from MRI T1C image using DEXtr3D",
        "version": "1",
        "type": "annotation"
        "name": "clara_pt_spleen_ct_segmentation",
        "labels": [
        "description": "A pre-trained model for volumetric (3D) segmentation of the spleen from CT image",
        "version": "1",
        "type": "segmentation"

Everything is looking normal. But when I try to load the DeepGrow 3D model found here NVIDIA NGC using the following syntax

 curl -X PUT "" -H "accept: application/json" -H "Content-Type: application/json"  -d '{"path":"nvidia/med/clara_pt_deepgrow_3d_annotation", "version":"1”}’

My request hangs for 20+ minutes. I have no idea why. Can someone please help me debug this issue.