diff --git a/hubconf.py b/hubconf.py
index df0dcb16..38538b62 100644
--- a/hubconf.py
+++ b/hubconf.py
@@ -136,9 +136,9 @@ def nvidia_tacotron2(pretrained=True, **kwargs):
 
     if pretrained:
         if fp16:
-            checkpoint = 'https://developer.nvidia.com/joc-tacotron2-fp16-pyt-20190306'
+            checkpoint = 'https://api.ngc.nvidia.com/v2/models/nvidia/tacotron2_pyt_ckpt_amp/versions/19.09.0/files/nvidia_tacotron2pyt_fp16_20190427'
         else:
-            checkpoint = 'https://developer.nvidia.com/joc-tacotron2-fp32-pyt-20190306'
+            checkpoint = 'https://api.ngc.nvidia.com/v2/models/nvidia/tacotron2_pyt_ckpt_fp32/versions/19.09.0/files/nvidia_tacotron2pyt_fp32_20190427'
         ckpt_file = _download_checkpoint(checkpoint, force_reload)
         ckpt = torch.load(ckpt_file)
         state_dict = ckpt['state_dict']
@@ -193,9 +193,9 @@ def nvidia_waveglow(pretrained=True, **kwargs):
 
     if pretrained:
         if fp16:
-            checkpoint = 'https://developer.nvidia.com/joc-waveglow-fp16-pyt-20190306'
+            checkpoint = 'https://api.ngc.nvidia.com/v2/models/nvidia/waveglow_ckpt_amp/versions/19.09.0/files/nvidia_waveglowpyt_fp16_20190427'
         else:
-            checkpoint = 'https://developer.nvidia.com/joc-waveglow-fp32-pyt-20190306'
+            checkpoint = 'https://api.ngc.nvidia.com/v2/models/nvidia/waveglow_ckpt_fp32/versions/19.09.0/files/nvidia_waveglowpyt_fp32_20190427'
         ckpt_file = _download_checkpoint(checkpoint, force_reload)
         ckpt = torch.load(ckpt_file)
         state_dict = ckpt['state_dict']
@@ -363,10 +363,7 @@ def nvidia_ssd(pretrained=True, **kwargs):
         m = batchnorm_to_float(m)
 
     if pretrained:
-        if fp16:
-            checkpoint = 'https://developer.nvidia.com/joc-ssd-fp16-pyt-20190225'
-        else:
-            checkpoint = 'https://developer.nvidia.com/joc-ssd-fp32-pyt-20190225'
+        checkpoint = 'https://api.ngc.nvidia.com/v2/models/nvidia/ssd_pyt_ckpt_amp/versions/19.09.0/files/nvidia_ssdpyt_fp16_190826.pt'
         # ckpt = torch.hub.load_state_dict_from_url(checkpoint, progress=True, check_hash=False)
         ckpt_file = _download_checkpoint(checkpoint, force_reload)
         ckpt = torch.load(ckpt_file)