Build your deep learning project fast on Google Cloud
Provision a VM quickly and effortlessly, with everything you need to get your deep learning project started on Google Cloud. AI Platform Deep Learning VM Image makes it easy and fast to instantiate a VM image containing the most popular deep learning and machine learning frameworks on a Google Compute Engine instance. You can launch Compute Engine instances pre-installed with popular ML frameworks like TensorFlow, PyTorch, or scikit-learn. You can also add Cloud TPU and GPU support with a single click. You can either instantiate the image using the Google Cloud Platform (GCP) Cloud Marketplace UI or through Cloud SDK from the command line.
With popular frameworks pre-installed, Deep Learning VM Image allows you to prototype your ML project quickly without any hand-rolled solutions.
Train your models faster
You can choose to add the latest Cloud TPU or GPUs on Google Cloud to your instance in a single click and accelerate your model training jobs.
Deep Learning VM Image offers you the flexibility to choose between different ML frameworks like TensorFlow, PyTorch, and scikit-learn.
Optimized for speed
The VM images includes binaries that are optimized for Google Compute Engine. These binaries help you get up to 10% faster performance vs. publicly available binaries of TensorFlow on Compute Engine.
No setup needed
The VM images come pre-installed with all software drivers and third-party dependencies, including the latest GPU software.
Integrated notebook experience
The VM images deliver a seamless notebook experience with integrated support for JupyterLab, the latest web-based interface for Project Jupyter, the de facto standard of interactive environments for running ML experiments.
The VM images support the latest TensorFlow and PyTorch versions.
Learn and build
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