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Show HN: Hinode – Cloud Linux desktop with a dedicated GPU that auto-pauses

Hinode launched a cloud Linux desktop with a dedicated GPU that auto-pauses after 15 minutes of idle time, starting at $3.99 per hour. The service offers persistent state, one-click GPU boosting, and hybrid billing with monthly subscriptions or hourly pay-as-you-go. Hinode's Pro tier uses a dedicated L40S GPU with 48 GB VRAM, priced at $434 per month or $399 per month with a subscription.

read4 min views1 publishedAug 4, 2026
Show HN: Hinode – Cloud Linux desktop with a dedicated GPU that auto-pauses
Image: source

A Linux desktop with a dedicated GPU — in your browser or the native Mac and Windows apps. Your files and environment stay put. Boost to a bigger GPU in one click.

From $3.99/hr · Auto- when idle · Native Mac & Windows apps The problem

GPU rental wasn't built for daily work #

Rented pods are disposable. Your work isn't. The same evening, two ways.

sent 3.2 GB · done

$ python generate.py --batch 24 done · 24 images · 214 s

Terminating instance and cleaning up...

loras/

outputs/

Boost

When the model doesn't fit #

The same job on the same 24 GB card — with and without a way out.

flux-dev · 23.8 GB

CUDA out of memory — job killed

flux-dev · 23.8 GB

✓ loaded · 23.8 / 96 GB VRAM

Features

One workstation, always ready #

Everything an AI creator needs in a single environment that follows you across devices.

Persistent state + auto-

Your workstation hibernates after 15 minutes idle and wakes with everything intact. You don't pay for idle time.

Boost

One click swaps in a bigger GPU for a single training run, billed by the hour. It reverts automatically when you're done.

Hybrid billing

One product, two ways to pay. Monthly subscription if you work daily, hourly pay-as-you-go if you don't. Switch any time.

H.265 60fps streaming

Every tier streams 1440p60 with modern compression. Upgrades buy GPU power, not resolution.

AI-ready image

The AI Workstation image ships with CUDA, PyTorch, JupyterLab, VS Code, and the common ML libraries. Open it and start.

Browser or native app

Run it in your browser, or get the native Mac and Windows apps — the same live session either way.

No lock-in

Your tools, your data #

A full Linux desktop with the tools you already use, preinstalled. Import your data from any source and export it to any destination. No vendor lock-in, no closed ecosystems.

Pricing

Pay monthly, or by the hour #

Same workstation either way. Switch anytime.

Standard

Dedicated L4

  • 24 GB VRAM

  • 32 GB RAM

  • Billed by the active minute

  • Persistent state + auto-

Pro

Dedicated L40S

  • 48 GB VRAM

  • 64 GB RAM

  • Billed by the active minute

  • Persistent state + auto-

Power

Dedicated RTX Pro 6000

  • 96 GB VRAM

  • 128 GB RAM

  • Billed by the active minute

  • Persistent state + auto-

What a month actually costs

Pay-as-you-go bills active time by the minute — auto- stops the meter when you step away.

≈ 87 active hours a month

  • Pay-as-you-goSubscription
  • Standard$347$299
  • Pro$434$399
  • Power$608$599

Subscriptions include 100 active hours per workstation. Extra active time uses the lower subscriber rate shown above.

Storage billed separately by allocated GB-minute · Boost billed per hour at the delta rate

How we compare

The same GPU. A full desktop. #

Pro, our most popular tier, is a dedicated L40S — the same card RunPod rents — with a full desktop that stays put instead of a terminal you rebuild.

RunPod Vast Lambda HF Pro Hinode Pro
GPU L40S · 48 GB RTX A6000 · 48 GB A100 · 40 GB ZeroGPU · shared L40S · 48 GB
GPU access Dedicated Dedicated Dedicated Quota + queue Dedicated
Interface SSH / Jupyter SSH / Jupyter SSH / Jupyter Spaces (web) Native desktop
Session Lost on stop Tied to one host Lost on terminate Ephemeral Persistent + auto-
Devices Browser Browser Browser Browser Browser + native apps

How it works

From signup to GPU in minutes #

  • 01

Sign up

Create an account in seconds. No time-limited trial.

  • 02

Launch your workstation

It boots AI-ready: CUDA, PyTorch, and the everyday tools preinstalled.

  • 03

Connect anywhere

Open the desktop in your browser, or in the native Mac and Windows apps.

  • 04

Boost when you need it

Jump to a bigger GPU for a heavy run, then drop back automatically.

FAQ

Questions, answered #

A cloud Linux desktop with a dedicated GPU, in your browser or the native Mac and Windows apps. Your environment persists between sessions, so you never set it up twice.

Pick a monthly subscription or hourly pay-as-you-go at signup, and switch any time. Auto- means you're not charged while the workstation is idle.

A one-click upgrade to stronger hardware for a single task. Run a job on a bigger GPU, then drop back to your tier automatically. You pay the hourly delta.

No. Your workstation hibernates after 15 minutes of inactivity and wakes with everything intact.

Any supported browser, plus native Mac and Windows apps. The same live session follows you across all of them.

Chrome, Edge, and other recent Chromium browsers. The client needs WebTransport and WebCodecs, which Safari and Firefox don't fully support yet.

Active workstations run on encrypted volumes; d ones are snapshotted to object storage. Export your data anytime.

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