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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 
Huawei Cloud ModelArts No 
IBM Distributed AI APIs No 
Intel Open Edge Platform No 
NVIDIA DeepStream SDK No 
NVIDIA FLARE No 
PostgresML No 
SuperDuperDB No 
Thunder Compute No 
TrueFoundry No 
Voxel51 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 
Huawei Cloud ModelArts Yes 
IBM Distributed AI APIs Yes 
Intel Open Edge Platform Yes 
NVIDIA DeepStream SDK Yes 
NVIDIA FLARE Yes 
PostgresML Yes 
SuperDuperDB Yes 
Thunder Compute Yes 
TrueFoundry Yes 
Voxel51 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 

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