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What is Google Cloud Deep Learning VM Image?

Rapidly establish a virtual machine on Google Cloud for your deep learning initiatives by utilizing the Deep Learning VM Image, which streamlines the deployment of a VM pre-loaded with crucial AI frameworks on Google Compute Engine. This option enables you to create Compute Engine instances that include widely-used libraries like TensorFlow, PyTorch, and scikit-learn, so you don't have to worry about software compatibility issues. Moreover, it allows you to easily add Cloud GPU and Cloud TPU capabilities to your setup. The Deep Learning VM Image is tailored to accommodate both state-of-the-art and popular machine learning frameworks, granting you access to the latest tools. To boost the efficiency of model training and deployment, these images come optimized with the most recent NVIDIA® CUDA-X AI libraries and drivers, along with the Intel® Math Kernel Library. By leveraging this service, you can quickly get started with all the necessary frameworks, libraries, and drivers already installed and verified for compatibility. Additionally, the Deep Learning VM Image enhances your experience with integrated support for JupyterLab, promoting a streamlined workflow for data science activities. With these advantageous features, it stands out as an excellent option for novices and seasoned experts alike in the realm of machine learning, ensuring that everyone can make the most of their projects. Furthermore, the ease of use and extensive support make it a go-to solution for anyone looking to dive into AI development.

What is Dragonfly 3D World?

Dragonfly 3D World, created by Object Research Systems (ORS), is an advanced software platform designed for the visualization, analysis, and collaborative exploration of multidimensional images applicable to numerous scientific and industrial sectors. This comprehensive platform features a wide range of powerful tools that support the visualization, processing, and interpretation of imaging data in 2D, 3D, and 4D formats, sourced from modalities such as CT, MRI, and electron microscopy, among others. Users can delve into complex structures through interactive approaches, including real-time volume rendering, surface rendering, and orthogonal slicing. The incorporation of artificial intelligence in Dragonfly allows users to apply deep learning methodologies for image segmentation, classification, and object detection, greatly improving the accuracy of their analyses. Furthermore, the software boasts advanced quantitative analysis capabilities that enable researchers to perform region-of-interest studies, conduct measurements, and execute statistical evaluations. The intuitive graphical interface of Dragonfly aids researchers in building reproducible workflows and streamlining batch processing, thereby enhancing both consistency and productivity in their tasks. With its extensive functionalities and user-friendly design, Dragonfly 3D World is an indispensable tool for professionals eager to expand the frontiers of imaging analysis in their fields. This innovative platform not only facilitates research but also fosters collaboration among scientists and industry experts, making it a cornerstone for future advancements.

Media

Media

Integrations Supported

TensorFlow
Chainer
Google Cloud Platform
Google Cloud TPU
Google Compute Engine
JupyterLab
Keras
MXNet
NVIDIA DRIVE
PyTorch

Integrations Supported

TensorFlow
Chainer
Google Cloud Platform
Google Cloud TPU
Google Compute Engine
JupyterLab
Keras
MXNet
NVIDIA DRIVE
PyTorch

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/deep-learning-vm

Company Facts

Organization Name

Dragonfly

Date Founded

2004

Company Location

Canada

Company Website

dragonfly.comet.tech/en/product-overview/dragonfly-3d-world

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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