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diff --git a/README.md b/README.md
@@ -23,11 +23,11 @@ For press and other inquiries, please contact Hector Marinez at [hmarinez@nvidia
 | &boxv;&nbsp; &boxur;&nbsp;  [100k-generated-images](https://drive.google.com/open?id=1BA2OZ1GshdfFZGYZPob5QWOGBuJCdu5q) | Random images with and without truncation
 | &boxvr;&nbsp; [videos](https://drive.google.com/open?id=1yXDV96SFXoUiZKU7AyE6DyKgDpIk4wUZ) | Individual clips of the video as high-quality MP4
 | &boxur;&nbsp; [networks](https://drive.google.com/open?id=1yanUI9m4b4PWzR0eurKNq6JR1Bbfbh6L) | Pre-trained networks
-| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-ffhq-config-f.pkl](http://d36zk2xti64re0.cloudfront.net/stylegan2/networks/stylegan2-ffhq-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">FFHQ</span> dataset at 1024&times;1024
-| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-car-config-f.pkl](http://d36zk2xti64re0.cloudfront.net/stylegan2/networks/stylegan2-car-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">LSUN Car</span> dataset at 512&times;384
-| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-cat-config-f.pkl](http://d36zk2xti64re0.cloudfront.net/stylegan2/networks/stylegan2-cat-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">LSUN Cat</span> dataset at 256&times;256
-| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-church-config-f.pkl](http://d36zk2xti64re0.cloudfront.net/stylegan2/networks/stylegan2-church-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">LSUN Church</span> dataset at 256&times;256
-| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-horse-config-f.pkl](http://d36zk2xti64re0.cloudfront.net/stylegan2/networks/stylegan2-horse-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">LSUN Horse</span> dataset at 256&times;256
+| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-ffhq-config-f.pkl](https://nvlabs-fi-cdn.nvidia.com/stylegan2/networks/stylegan2-ffhq-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">FFHQ</span> dataset at 1024&times;1024
+| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-car-config-f.pkl](https://nvlabs-fi-cdn.nvidia.com/stylegan2/networks/stylegan2-car-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">LSUN Car</span> dataset at 512&times;384
+| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-cat-config-f.pkl](https://nvlabs-fi-cdn.nvidia.com/stylegan2/networks/stylegan2-cat-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">LSUN Cat</span> dataset at 256&times;256
+| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-church-config-f.pkl](https://nvlabs-fi-cdn.nvidia.com/stylegan2/networks/stylegan2-church-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">LSUN Church</span> dataset at 256&times;256
+| &ensp;&ensp; &boxvr;&nbsp;  [stylegan2-horse-config-f.pkl](https://nvlabs-fi-cdn.nvidia.com/stylegan2/networks/stylegan2-horse-config-f.pkl) | StyleGAN2 for <span style="font-variant:small-caps">LSUN Horse</span> dataset at 256&times;256
 | &ensp;&ensp; &boxur;&nbsp;&#x22ef;  | Other training configurations used in the paper
 
 ## Requirements

diff --git a/metrics/frechet_inception_distance.py b/metrics/frechet_inception_distance.py
@@ -25,7 +25,7 @@ def __init__(self, num_images, minibatch_per_gpu, **kwargs):
 
     def _evaluate(self, Gs, Gs_kwargs, num_gpus):
         minibatch_size = num_gpus * self.minibatch_per_gpu
-        inception = misc.load_pkl('http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/inception_v3_features.pkl')
+        inception = misc.load_pkl('https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/inception_v3_features.pkl')
         activations = np.empty([self.num_images, inception.output_shape[1]], dtype=np.float32)
 
         # Calculate statistics for reals.

diff --git a/metrics/inception_score.py b/metrics/inception_score.py
@@ -24,7 +24,7 @@ def __init__(self, num_images, num_splits, minibatch_per_gpu, **kwargs):
 
     def _evaluate(self, Gs, Gs_kwargs, num_gpus):
         minibatch_size = num_gpus * self.minibatch_per_gpu
-        inception = misc.load_pkl('http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/inception_v3_softmax.pkl')
+        inception = misc.load_pkl('https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/inception_v3_softmax.pkl')
         activations = np.empty([self.num_images, inception.output_shape[1]], dtype=np.float32)
 
         # Construct TensorFlow graph.

diff --git a/metrics/linear_separability.py b/metrics/linear_separability.py
@@ -18,46 +18,46 @@
 #----------------------------------------------------------------------------
 
 classifier_urls = [
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-00-male.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-01-smiling.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-02-attractive.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-03-wavy-hair.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-04-young.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-05-5-o-clock-shadow.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-06-arched-eyebrows.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-07-bags-under-eyes.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-08-bald.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-09-bangs.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-10-big-lips.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-11-big-nose.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-12-black-hair.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-13-blond-hair.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-14-blurry.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-15-brown-hair.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-16-bushy-eyebrows.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-17-chubby.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-18-double-chin.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-19-eyeglasses.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-20-goatee.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-21-gray-hair.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-22-heavy-makeup.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-23-high-cheekbones.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-24-mouth-slightly-open.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-25-mustache.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-26-narrow-eyes.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-27-no-beard.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-28-oval-face.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-29-pale-skin.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-30-pointy-nose.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-31-receding-hairline.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-32-rosy-cheeks.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-33-sideburns.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-34-straight-hair.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-35-wearing-earrings.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-36-wearing-hat.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-37-wearing-lipstick.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-38-wearing-necklace.pkl',
-    'http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/celebahq-classifier-39-wearing-necktie.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-00-male.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-01-smiling.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-02-attractive.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-03-wavy-hair.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-04-young.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-05-5-o-clock-shadow.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-06-arched-eyebrows.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-07-bags-under-eyes.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-08-bald.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-09-bangs.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-10-big-lips.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-11-big-nose.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-12-black-hair.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-13-blond-hair.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-14-blurry.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-15-brown-hair.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-16-bushy-eyebrows.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-17-chubby.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-18-double-chin.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-19-eyeglasses.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-20-goatee.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-21-gray-hair.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-22-heavy-makeup.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-23-high-cheekbones.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-24-mouth-slightly-open.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-25-mustache.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-26-narrow-eyes.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-27-no-beard.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-28-oval-face.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-29-pale-skin.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-30-pointy-nose.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-31-receding-hairline.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-32-rosy-cheeks.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-33-sideburns.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-34-straight-hair.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-35-wearing-earrings.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-36-wearing-hat.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-37-wearing-lipstick.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-38-wearing-necklace.pkl',
+    'https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/celebahq-classifier-39-wearing-necktie.pkl',
 ]
 
 #----------------------------------------------------------------------------

diff --git a/metrics/perceptual_path_length.py b/metrics/perceptual_path_length.py
@@ -97,7 +97,7 @@ def _evaluate(self, Gs, Gs_kwargs, num_gpus):
 
                 # Evaluate perceptual distance.
                 img_e0, img_e1 = images[0::2], images[1::2]
-                distance_measure = misc.load_pkl('http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/vgg16_zhang_perceptual.pkl')
+                distance_measure = misc.load_pkl('https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/vgg16_zhang_perceptual.pkl')
                 distance_expr.append(distance_measure.get_output_for(img_e0, img_e1) * (1 / self.epsilon**2))
 
         # Sampling loop.

diff --git a/metrics/precision_recall.py b/metrics/precision_recall.py
@@ -179,7 +179,7 @@ def __init__(self, num_images, nhood_size, minibatch_per_gpu, row_batch_size, co
 
     def _evaluate(self, Gs, Gs_kwargs, num_gpus):
         minibatch_size = num_gpus * self.minibatch_per_gpu
-        feature_net = misc.load_pkl('http://d36zk2xti64re0.cloudfront.net/stylegan1/networks/metrics/vgg16.pkl')
+        feature_net = misc.load_pkl('https://nvlabs-fi-cdn.nvidia.com/stylegan/networks/metrics/vgg16.pkl')
 
         # Calculate features for reals.
         cache_file = self._get_cache_file_for_reals(num_images=self.num_images)