Overview / Description
Hinode is a cloud GPU workstation, an AI developer tool that gives you a persistent GPU desktop in the cloud accessed from a browser without managing your own infrastructure. It runs a real Linux desktop on a dedicated or fractional GPU so you can do AI/ML training, image generation with tools like ComfyUI, and other GPU-intensive work without re-provisioning an environment every session. State persists across sessions: processes and files stay where you left them, and you can reconnect from a laptop, phone, or TV via WebTransport streaming. The workstation auto-pauses when idle so you are not billed during downtime, and wakes back up in roughly 15 to 30 seconds. Hinode is aimed at developers and researchers who want a cloud GPU desktop that is always ready rather than a stack of cloud-infrastructure consoles to configure. Tiers range from a Standard plan on a fractional AWS L4 GPU to a Pro plan with a full L4, billed hourly with metered usage. It is an early-stage service onboarding users through a waitlist, so capabilities and tiers are still evolving.
Used For
Running GPU-intensive AI/ML and image-generation workloads on a persistent cloud GPU desktop for developers and researchers
Pricing
Pros & Cons
Pros
- Persistent state — files and running processes survive between sessions, no re-provisioning
- Auto-pause when idle so you are not billed during downtime
- Fast wake times of roughly 15 to 30 seconds
- Browser-based access via WebTransport streaming from laptop, phone, or TV
- Dedicated full L4 GPU on Pro; fractional L4 on the Standard tier
Cons
- Early-stage service with waitlist onboarding; tiers and features still changing
- GPU options center on AWS L4-class hardware, not top-end training cards
- Hourly metered billing can be unpredictable for always-on workloads
- Public pricing is limited to tier descriptions and an early-adopter discount
Questions & Answers
Alternatives
RunPod, Paperspace, Vast.ai, Lambda Cloud