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What is Hinode?

Hinode is a cloud-based workspace tailored for creators focusing on AI-generated visuals and videos. This innovative platform streamlines the organization of files and applications while offering a shared directory for models and datasets, which helps maintain workflow consistency across sessions. When there is a need for significant GPU power to handle computations, users can connect to high-performance machines like the NVIDIA L4 with 24 GB of VRAM, the L40S with 48 GB, or the RTX PRO 6000 featuring 96 GB, all of which offer RAM options between 32 and 256 GB. Each time you start these machines, your previously stored workspace is automatically loaded, ensuring that all vital tools are immediately accessible. Connecting to your projects is straightforward through a streamed Ubuntu desktop accessible in the Hinode app for Mac, Windows, and Linux, or through Chrome and Edge without any installation required. Moreover, it facilitates SSH connections via the hinode command-line tool, supports access through VS Code Remote-SSH, and connects through an MCP interface for Claude and other AI assistants. Installing various applications such as ComfyUI, PyTorch, JupyterLab, Ollama, vLLM, AI Toolkit, and Axolotl is a breeze with just a single click, significantly boosting user efficiency and productivity. Additionally, the platform is continuously being updated to introduce new tools and features, ensuring it remains responsive to user needs and industry trends. Ultimately, Hinode is a dynamic environment that empowers creators to harness the full potential of AI technology.

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.

Media

No images available

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$0.29/h/workspace
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Hinode

Date Founded

2026

Company Location

United States

Company Website

hinode.run

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/deep-learning-vm

Categories and Features

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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