Intel® Max (PVC) Model Containers
February 7, 2024 · View on GitHub
These are the deep learning Models optimized to run on Intel's Max Series GPU platform.
| Container | Framework | Docker Pull Command | Compressed Size |
|---|---|---|---|
| ResNet50 v1.5 Inference | PyTorch | docker pull intel/image-recognition:pytorch-max-gpu-resnet50v1-5-inference | 2.37GB |
| ResNet50 v1.5 Training | PyTorch | docker pull intel/image-recognition:pytorch-max-gpu-resnet50v1-5-training | 2.51GB |
| BERT Large Inference | PyTorch | docker pull intel/language-modeling:pytorch-max-gpu-bert-large-inference | 7.8GB |
| BERT Large Training | PyTorch | docker pull intel/language-modeling:pytorch-max-gpu-bert-large-training | 2.79GB |
| Stable Diffusion Inference | PyTorch | docker pull intel/generative-ai:pytorch-max-gpu-stable-diffusion-inference | 2.65GB |
| DistilBERT Inference | PyTorch | docker pull intel/recommendation:pytorch-max-gpu-distilbert-inference | 2.54GB |
| ResNet50 v1.5 Inference | TensorFlow | docker pull intel/image-recognition:tf-max-gpu-resnet50v1-5-inference | 2.38GB |
| ResNet50 v1.5 Training | TensorFlow | docker pull intel/image-recognition:tf-max-gpu-resnet50v1-5-training | 3.68GB |
| BERT Large Inference | TensorFlow | docker pull intel/language-modeling:tf-max-gpu-bert-large-inference | 3.33GB |
| BERT Large Training | TensorFlow | docker pull intel/language-modeling:tf-max-gpu-bert-large-training | 2.79GB |
| DLRM Training | PyTorch | docker pull intel/recommendation:pytorch-max-gpu-dlrm-training | 2.98GB |
| DLRM Inference | PyTorch | docker pull intel/recommendation:pytorch-max-gpu-dlrm-inference | 2.91GB |
| 3D-UNet Training | TensorFlow | docker pull intel/image-segmentation:tf-max-gpu-unet-3d-training | 2.78GB |
| Mask R-CNN Training | TensorFlow | docker pull intel/image-segmentation:tf-max-gpu-maskrcnn-training | 2.76GB |