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ease
features
design
support

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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ApertureDB
BHK Cloud
BentoML
Cirrascale
Coiled
Flyte
GLM-5.1
Graphcore
Hugging Face Transformers
Humtap
IBM Distributed AI APIs
Intel Tiber AI Cloud
JFrog ML
Lightly
Runyour AI
Sharon AI
TensorWave
Vast.ai
io.net

Integrations

ApertureDB
BHK Cloud
BentoML
Cirrascale
Coiled
Flyte
GLM-5.1
Graphcore
Hugging Face Transformers
Humtap
IBM Distributed AI APIs
Intel Tiber AI Cloud
JFrog ML
Lightly
Runyour AI
Sharon AI
TensorWave
Vast.ai
io.net

Pricing Details

$0.29/h/workspace
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

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
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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