
Cloud workspace for AI image and video work that keeps your files and ComfyUI setup between sessions, with L4, L40S or RTX PRO 6000 machines attached by the minute.
A startup from Lewes, the United States that is founded by Ilya Amursky.
This page is designed to help you find out whether Hinode is good and if it is the right choice for you.
Hinode is a cloud workspace for people who make images and video with AI. The workspace keeps your files, installed applications and a shared folder for models and datasets between sessions. When a job needs a whole GPU, you attach a machine beside it: NVIDIA L4 with 24 GB VRAM, L40S with 48 GB or RTX PRO 6000 with 96 GB, each with 32 to 256 GB of RAM. The machine starts from your saved workspace, so the tools you set up are already on it.
You can reach your work through a streamed Ubuntu desktop in the Hinode app for Mac, Windows and Linux, or in Chrome and Edge with nothing to install. It also works over SSH, with the hinode command-line tool, from VS Code Remote-SSH, or through an MCP connector for Claude and other assistants. ComfyUI, PyTorch, JupyterLab, Ollama, vLLM, AI Toolkit, Axolotl and a few other apps install in one click.
Billing is by the minute with no subscription. The workspace costs $0.297/hr while it runs, and GPU machines cost $1.75 to $12.58/hr, with a 15-minute minimum per machine. Both pause after 15 idle minutes, and your disk stays as it was. Storage is $0.15 per GB-month, the shared folder is $0.14 per GB-month and outbound traffic is $0.10 per GB. Workspaces run in US East or EU Frankfurt at the same prices, and a card is required to start.
Machines run Ubuntu Linux. The streamed desktop needs a computer; phones, Safari and Firefox can't display it, while SSH, the CLI and the assistant connector work from anywhere.
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GPUs
NVIDIA L4 (24 GB), L40S (48 GB), RTX PRO 6000 (96 GB); one full card per machine
Machine sizes
4 to 64 vCPU, 32 to 256 GB RAM
Pricing
Pay as you go, billed by the minute: workspace $0.297/hr while running, GPU machines $1.75–$12.58/hr
Persistent workspace
Files, installed apps and settings stay between sessions
Auto-pause
Workspace and machines pause after 15 idle minutes; disk is kept
Shared folder
One folder for models and datasets, visible to the workspace and every machine
Streamed desktop
Ubuntu desktop at 1080p60 in the Hinode app (macOS, Windows, Linux) or in Chrome and Edge
SSH and CLI
ssh, scp, rsync, git and VS Code Remote-SSH; hinode command-line tool
AI assistant access
MCP connector for Claude and other assistants to manage workspaces, machines and jobs
One-click apps
ComfyUI, PyTorch, JupyterLab, Ollama, vLLM, AI Toolkit, Axolotl, VS Code, Chrome
Regions
US East and EU Frankfurt, same prices
Storage and traffic
Disk $0.15/GB-month, shared folder $0.14/GB-month, egress $0.10/GB
Budget alerts
Monthly budget with email at 80% and 100%
Choose Hinode if you lose time rebuilding your setup. On a typical GPU rental, stopping a pod means losing what you installed or paying for storage and re-attaching it by hand. On Hinode you pause and come back to the same desktop, files and apps. The machine is billed by the minute and the workspace costs $0.297/hr while it runs. If all you need is the cheapest hour on a card for a one-off batch job, a raw GPU rental will cost less. Hinode is for people who come back to the same work every day.
Go for the orchestrator that starts, pauses and bills machines. TypeScript for the web app, the MCP servers and internal tools. NVIDIA L4, L40S and RTX PRO 6000 GPUs running Ubuntu with a GNOME desktop streamed at 1080p60. Stripe for per-minute billing, Terraform for infrastructure.
Your GPU environment stays put. The workspace holds your files, installed apps and a shared folder for models, and it pauses itself after 15 idle minutes. When you need a whole card, you attach an L4, L40S or RTX PRO 6000 machine beside it. That machine starts from your saved workspace, so ComfyUI, your custom nodes and your models are already there. You reach the same environment through a streamed desktop, SSH, the hinode CLI, VS Code or an AI assistant over MCP.
People who make images and video with open models: ComfyUI users, LoRA trainers, and developers building nodes and tools on top of diffusion models. Many of them work on a Mac or a laptop that can't run the models they use. They want a GPU machine that keeps their environment between sessions, without managing cloud infrastructure themselves.
Hinode is built in Barcelona by a solo founder with twelve years of experience building software and infrastructure. The idea came from watching AI creators lose hours to the same chores: renting a pod, reinstalling ComfyUI, re-downloading models and losing it all when the pod stopped. Paperspace shut down its desktop product in 2024, and nothing replaced it for this audience. Hinode is our answer: a GPU workspace that is still there the next day. The name means sunrise in Japanese.
We have collected here some useful links to help you find out if Hinode is good.
Check the traffic stats of Hinode on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Hinode on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Hinode's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Hinode on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Hinode on Reddit. This can help you find out how popualr the product is and what people think about it.
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