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.

ContainerFrameworkDocker Pull CommandCompressed Size
ResNet50 v1.5 InferencePyTorchdocker pull intel/image-recognition:pytorch-max-gpu-resnet50v1-5-inference2.37GB
ResNet50 v1.5 TrainingPyTorchdocker pull intel/image-recognition:pytorch-max-gpu-resnet50v1-5-training2.51GB
BERT Large InferencePyTorchdocker pull intel/language-modeling:pytorch-max-gpu-bert-large-inference7.8GB
BERT Large TrainingPyTorchdocker pull intel/language-modeling:pytorch-max-gpu-bert-large-training2.79GB
Stable Diffusion InferencePyTorchdocker pull intel/generative-ai:pytorch-max-gpu-stable-diffusion-inference2.65GB
DistilBERT InferencePyTorchdocker pull intel/recommendation:pytorch-max-gpu-distilbert-inference2.54GB
ResNet50 v1.5 InferenceTensorFlowdocker pull intel/image-recognition:tf-max-gpu-resnet50v1-5-inference2.38GB
ResNet50 v1.5 TrainingTensorFlowdocker pull intel/image-recognition:tf-max-gpu-resnet50v1-5-training3.68GB
BERT Large InferenceTensorFlowdocker pull intel/language-modeling:tf-max-gpu-bert-large-inference3.33GB
BERT Large TrainingTensorFlowdocker pull intel/language-modeling:tf-max-gpu-bert-large-training2.79GB
DLRM TrainingPyTorchdocker pull intel/recommendation:pytorch-max-gpu-dlrm-training2.98GB
DLRM InferencePyTorchdocker pull intel/recommendation:pytorch-max-gpu-dlrm-inference2.91GB
3D-UNet TrainingTensorFlowdocker pull intel/image-segmentation:tf-max-gpu-unet-3d-training2.78GB
Mask R-CNN TrainingTensorFlowdocker pull intel/image-segmentation:tf-max-gpu-maskrcnn-training2.76GB

Intel AI Containers