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Runcrate VS Hinode

Compare Runcrate VS Hinode and see what are their differences

Runcrate

On-demand GPUs and 200+ open models for AI developers and their agents. A GPU with a real shell in about four minutes, an OpenAI-compatible inference API, and an MCP server so your agent can launch GPUs.

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Hinode

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.

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0 reviews
Pricing
Paid $0.29 (Workspace)
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Usejarvis
Turn business tasks into reusable workflows with company context, AI judgement and human approvals. sponsored

Which is more popular?

Cloud GPU popularity
100% vs 0%
alternatives listed
16 vs 2

Base details

Website, pricing, platforms and company facts side by side.

Runcrate
Hinode
Website runcrate.ai hinode.run
Pricing
Official pricing
Paid $0.29 (Workspace) Official pricing
Platforms —
Browser Windows MacOS Linux +1
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in
Cloud GPU GPU As A Service Cloud Computing Machine Learning Tools AI Developer Tools LLM AI +4
Cloud GPU Cloud Computing Generative AI AI Tools Cloud Desktop Virtual Desktop AI +4

About Runcrate and Hinode

In their own words, as submitted to SaaSHub.

Runcrate
Hinode

No description of Runcrate yet.

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...

Read more about Hinode

Features and specs

What each product offers, as listed by its team.

Runcrate 0 features
Hinode 13 features

No features have been listed yet.

  • 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%

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Runcrate
Hinode
100% 100%
Cloud GPU
0% 0%
0% 0%
Virtual Desktop
100% 100%
100% 100%
Machine Learning Tools
0% 0%
0% 0%
Cloud Desktop
100% 100%

Questions & Answers

As answered by people managing Runcrate and Hinode.

Why should a person choose your product over its competitors?

Hinode's answer:

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.

Which are the primary technologies used for building your product?

Hinode's answer:

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.

What makes your product unique?

Hinode's answer:

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.

How would you describe the primary audience of your product?

Hinode's answer:

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.

What's the story behind your product?

Hinode's answer:

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.

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