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GPU.LAND VS Hinode

Compare GPU.LAND VS Hinode and see what are their differences

GPU.LAND

Cloud GPUs for Deep Learning — for ⅓ the price!

Rating
0 reviews
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Alternatives Is it good?
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.

Rating
0 reviews
Pricing
Paid $0.29 (Workspace)
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ReleasePad
Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast. sponsored

Which is more popular?

Based on our record, GPU.LAND seems to be more popular. It has been mentioned 8 times since March 2021.

social mentions
8 vs 0
AI popularity
100% vs 0%
alternatives listed
66 vs 2

Base details

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

GPU.LAND
Hinode
Website gpu.land hinode.run
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
Hardware Software Engineering Developer Tools AI Machine Learning +2
Cloud GPU Cloud Computing Generative AI AI Tools Cloud Desktop Virtual Desktop AI +4

About GPU.LAND and Hinode

In their own words, as submitted to SaaSHub.

GPU.LAND
Hinode

No description of GPU.LAND 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.

GPU.LAND 4 features
Hinode 13 features
  • Performance
    GPU.LAND provides high-performance computing capabilities, which are ideal for tasks that require extensive data processing and parallel computing, such as machine learning and scientific simulations.
  • Scalability
    The platform allows users to scale their computing resources easily to match workload needs, making it suitable for growing businesses and projects that require varying levels of computing power.
  • Cost-effectiveness
    GPU.LAND can be more economical than purchasing and maintaining physical servers, as users only pay for the resources they consume.
  • Accessibility
    The online platform makes GPUs accessible from anywhere with an internet connection, which is especially beneficial for remote teams or international collaborations.

Possible disadvantages

  • Dependency on Internet
    Access to GPU.LAND relies on a stable internet connection, which might be a limiting factor in areas with poor connectivity.
  • Security Concerns
    Storing and processing data on an external platform might raise security and privacy concerns, especially for sensitive information.
  • Learning Curve
    New users might face a learning curve when getting accustomed to the platform's interface and features, impacting initial productivity.
  • Limited Control
    Compared to owning physical hardware, users have less control over the underlying infrastructure and may face limitations imposed by the platform's management.
  • 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
GPU.LAND
Hinode
100% 100%
AI
0% 0%
0% 0%
AI Tools
100% 100%
100% 100%
Developer Tools
0% 0%
76% 76%
Cloud Computing
24% 24%

Questions & Answers

As answered by people managing GPU.LAND 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.

User comments

Share your experience with using GPU.LAND and Hinode. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

GPU.LAND 8 mentions
Hinode 0 mentions
  • Looking for people to test my new GPU/Ubuntu virtual machine "cloud' service!
    I'm just going to mention here the experience of someone who ran gpu.land (doesn't exist any more). He did something similar, monetized it (very cheap) and then had to shut down because people were running crypto miners on it. I hope you... Source: over 4 years ago
  • [D] How did the do hyper-parameter tuning for large models like GPT-3, ERNIE etc, as they cost them millions for just training?
    RIP to gpu.land... I was hoping they would take off because they seemed to have a cool product with great pricing. Source: over 5 years ago
  • [P] I created a page to compare cloud GPU providers
    There's also https://gpu.land (which has their own comparison page). Source: over 5 years ago

View more

Tracking Hinode since Sep 2026.

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