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Description
Quickly set up a virtual machine on Google Cloud for your deep learning project using the Deep Learning VM Image, which simplifies the process of launching a VM with essential AI frameworks on Google Compute Engine. This solution allows you to initiate Compute Engine instances that come equipped with popular libraries such as TensorFlow, PyTorch, and scikit-learn, eliminating concerns over software compatibility. Additionally, you have the flexibility to incorporate Cloud GPU and Cloud TPU support effortlessly. The Deep Learning VM Image is designed to support both the latest and most widely used machine learning frameworks, ensuring you have access to cutting-edge tools like TensorFlow and PyTorch. To enhance the speed of your model training and deployment, these images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers, as well as the Intel® Math Kernel Library. By using this service, you can hit the ground running with all necessary frameworks, libraries, and drivers pre-installed and validated for compatibility. Furthermore, the Deep Learning VM Image provides a smooth notebook experience through its integrated support for JupyterLab, facilitating an efficient workflow for your data science tasks. This combination of features makes it an ideal solution for both beginners and experienced practitioners in the field of machine learning.
Description
Cloud images serve as operating system templates, with each instance initially being a perfect replica of the others. The unique attributes of each cloud instance are defined by user data, and cloud-init is the automated tool that applies this data to your instances. This includes various datasource and module references, along with numerous examples for easier implementation. Although cloud-init originated in Ubuntu, it has since been adapted for most major Linux distributions and FreeBSD. For providers of cloud images, cloud-init simplifies the variations among different cloud vendors automatically, ensuring that the official Ubuntu cloud images maintain consistency across all public and private cloud platforms. This uniformity allows users to deploy their applications without worrying about the underlying infrastructure differences.
API Access
Has API
API Access
Has API
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Chainer
Google Cloud TPU
Google Compute Engine
Joyent Triton
JupyterLab
MXNet
Microsoft Azure
MultiPass
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Chainer
Google Cloud TPU
Google Compute Engine
Joyent Triton
JupyterLab
MXNet
Microsoft Azure
MultiPass
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/deep-learning-vm
Vendor Details
Company Name
cloud-init
Website
cloud-init.io
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization