#خبر
Introducing #PyTorch across Google Cloud
PyTorch 1.0 Preview is now available on Google Cloud, in virtual machine images, #Kubeflow, #Tensorboard, and on TPUs.
https://cloud.google.com/blog/products/ai-machine-learning/introducing-pytorch-across-google-cloud
Introducing #PyTorch across Google Cloud
PyTorch 1.0 Preview is now available on Google Cloud, in virtual machine images, #Kubeflow, #Tensorboard, and on TPUs.
https://cloud.google.com/blog/products/ai-machine-learning/introducing-pytorch-across-google-cloud
معرفی kuberflow برای serve کردن مدلهای PyTorch برای deployment
#Kubeflow is an open source platform designed to make end-to-end ML pipelines easy to deploy and manage. Kubeflow already supports #PyTorch, and the Kubeflow community has already developed a PyTorch package that can be installed in a Kubeflow #deployment with just two commands. Additionally, in collaboration with #NVIDIA, we have extended the #TensorRT package in Kubeflow to support #serving PyTorch models. We aim for Kubeflow to be the easiest way to build portable, scalable and composable PyTorch pipelines that #run_everywhere.
https://www.kubeflow.org/
#Kubeflow is an open source platform designed to make end-to-end ML pipelines easy to deploy and manage. Kubeflow already supports #PyTorch, and the Kubeflow community has already developed a PyTorch package that can be installed in a Kubeflow #deployment with just two commands. Additionally, in collaboration with #NVIDIA, we have extended the #TensorRT package in Kubeflow to support #serving PyTorch models. We aim for Kubeflow to be the easiest way to build portable, scalable and composable PyTorch pipelines that #run_everywhere.
https://www.kubeflow.org/