Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Hinode serves as a cloud workspace designed specifically for creators working with AI-generated images and videos. This platform efficiently manages your files, applications, and provides a shared directory for models and datasets, ensuring continuity between sessions. When extensive GPU resources are required for computations, you can link a powerful machine such as an NVIDIA L4 with 24 GB of VRAM, L40S with 48 GB, or the RTX PRO 6000 boasting 96 GB, all accompanied by RAM options ranging from 32 to 256 GB. Upon launching, these machines automatically load your previously saved workspace, which means all the necessary tools are readily available for your use.
Accessing your projects is seamless through a streamed Ubuntu desktop available in the Hinode app for Mac, Windows, and Linux, or via Chrome and Edge without needing to install anything. Additionally, it supports SSH connections through the hinode command-line tool, allows access via VS Code Remote-SSH, and connects through an MCP interface for Claude and other assistants. Installing applications like ComfyUI, PyTorch, JupyterLab, Ollama, vLLM, AI Toolkit, Axolotl, and several others is a simple one-click process, enhancing the overall user experience and productivity. Furthermore, the platform continually evolves, incorporating new tools and features to meet the demands of its users.
Description
Effortlessly switch between eager and graph modes using TorchScript, while accelerating your journey to production with TorchServe. The torch-distributed backend facilitates scalable distributed training and enhances performance optimization for both research and production environments. A comprehensive suite of tools and libraries enriches the PyTorch ecosystem, supporting development across fields like computer vision and natural language processing. Additionally, PyTorch is compatible with major cloud platforms, simplifying development processes and enabling seamless scaling. You can easily choose your preferences and execute the installation command. The stable version signifies the most recently tested and endorsed iteration of PyTorch, which is typically adequate for a broad range of users. For those seeking the cutting-edge, a preview is offered, featuring the latest nightly builds of version 1.10, although these may not be fully tested or supported. It is crucial to verify that you meet all prerequisites, such as having numpy installed, based on your selected package manager. Anaconda is highly recommended as the package manager of choice, as it effectively installs all necessary dependencies, ensuring a smooth installation experience for users. This comprehensive approach not only enhances productivity but also ensures a robust foundation for development.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Elastic Fabric Adapter (EFA)
No
Amazon EC2 P5 Instances
No
Amazon EC2 Trn2 Instances
No
Amazon SageMaker Studio
No
DagsHub
No
Gemma
No
Graphcore
No
Groq
No
Guild AI
No
HPC-AI
No
Integrations
AWS Elastic Fabric Adapter (EFA)
Yes
Amazon EC2 P5 Instances
Yes
Amazon EC2 Trn2 Instances
Yes
Amazon SageMaker Studio
Yes
DagsHub
Yes
Gemma
Yes
Graphcore
Yes
Groq
Yes
Guild AI
Yes
HPC-AI
Yes
Pricing Details
$0.29/h/workspace
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Hinode
Founded
2026
Country
United States
Website
hinode.run
Vendor Details
Company Name
PyTorch
Founded
2016
Website
pytorch.org
Product Features
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No