
Cloud GPU
TensorDock GPU Cloud
Paperspace
GPU.LAND
Amazon AWS
DigitalOcean
CloudGPU.app
GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.

Firefoo
Fuego App
Rowy
Firebase
The Firebase Console is fine for a quick look. Chiselbase is a desktop app for the rest of your day: Firestore, Auth, Storage and logs in tabs, JSON/CSV export, bulk edits, and an MCP server for AI agents. Everyday work on one project is free.

Which is more popular?
Based on our record, Vast.ai seems to be more popular. It has been mentioned 236 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | vast.ai | chiselbase.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Germany · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Vast.ai yet.
Chiselbase is a desktop app for Firebase developers who spend their day in Firestore, Auth and Cloud Functions logs. One window, all of your project Firestore, Realtime Database, Authentication, Storage and Cloud Functions logs sit side by side in tabs, so you stop jumping between Console pages....
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Vast.ai is particularly recommended for researchers, data scientists, machine learning practitioners, animators, and anyone else requiring high-performance GPU resources for tasks such as deep learning, data analysis, scientific research, and rendering. It's ideal for those with sporadic or project-based needs who want to minimize fixed costs.
No analysis of Chiselbase yet.
Walkthroughs and reviews on video.
Using Vast.ai to set up a machine learning server
No Chiselbase videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Vast.ai and Chiselbase.
Chiselbase's answer:
Chiselbase brings everyday Firebase development and data management into one desktop app. Instead of switching between the Firebase Console, command-line tools and custom scripts, developers can work with Firestore, Realtime Database, Authentication, Storage and Cloud Functions logs in one tabbed workspace.
Beyond browsing data, Chiselbase offers saved queries, reusable dashboards, data exports, bulk edits and transfers between projects or the local emulator. Built-in production safeguards help prevent costly mistakes, with write protection, audit logs and undo support for eligible changes.
It also includes a local MCP server that lets AI coding agents like Claude Code and Cursor interact with Firebase through project-specific permissions and approval-controlled writes.
Chiselbase's answer:
Chiselbase goes beyond a typical Firestore GUI. It combines Firebase data management, debugging, database administration and AI agent integration in a single desktop application.
Developers can inspect data, manage users, investigate function errors, work with security rules and indexes, and handle backups without constantly switching tools. Advanced operations like bulk editing, importing and exporting data, and copying collections between projects are available in Pro.
Safety is built into the workflow rather than treated as an afterthought. Production connections start write-protected, sensitive operations require confirmation, and changes can be tracked in a local audit log.
Chiselbase also takes a privacy-conscious approach: Firebase credentials stay in the operating system's secure credential storage, and the app communicates directly with Google's APIs without routing project data through Chiselbase servers.
A genuinely useful Free plan supports one cloud project, requires no account, has no expiration date and includes the production safeguards. Pro adds advanced data tools, multiple projects and controlled AI agent access.
Chiselbase's answer:
Chiselbase is built for Firebase developers who regularly inspect, debug and manage application data.
Its primary users are independent developers, freelancers, startup founders and small development teams building applications with Cloud Firestore or Realtime Database. It's particularly useful for developers working across development, staging and production environments who want faster workflows without sacrificing safety.
Chiselbase also serves developers using AI coding assistants such as Claude Code or Cursor who need a secure, controlled way to give those agents access to Firebase projects.
Chiselbase's answer:
Chiselbase started from a simple frustration: everyday Firebase tasks were taking too many tools.
I kept switching between the Firebase Console, command-line utilities and one-off scripts just to export a collection, copy data to staging, fix multiple documents or investigate an issue. None of these tasks was particularly complicated, but the workflow was unnecessarily fragmented.
As AI coding agents became part of development, another problem emerged: how do you let an agent work with Firebase without handing it unrestricted access to your projects?
I built Chiselbase to solve both problems. It's the Firebase desktop tool I wanted to use myself: a focused workspace for everyday data operations, with production safeguards and controlled access for AI agents.
Chiselbase is independently developed and maintained by a solo developer.
Chiselbase's answer:
Chiselbase is built with Rust and Tauri v2 for its desktop application, using the operating system's native web view instead of bundling an entire browser.
The frontend uses Vue 3, TypeScript, Tailwind CSS and Vite. Firebase integration relies on Google Cloud REST APIs and gRPC for live updates, while AI agent integration uses the Model Context Protocol (MCP).
Share your experience with using Vast.ai and Chiselbase. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Where to provision: Both engines are free; the money goes to hardware and hosting. For benchmarking the stack yourself, Lambda GPU Cloud offers on-demand compute with no egress fees — the cheapest honest way to run the harness above at... - Source: dev.to / 6 days ago
3. Rent a 4090 with https://vast.ai to run vllm 4. Let llm model invent its own category and tag names freely 5. `code is going up as open source` soon (TM). - Source: Hacker News / 3 months ago
I (think) that Vast [1] did something vaguely similar a few years back where regular people could rent out their nVidia GPUs. Might be worth looking into if that's an option. [1] - https://vast.ai. - Source: Hacker News / 4 months ago
Tracking Chiselbase since Oct 2026.
When comparing Vast.ai and Chiselbase, you can also consider the following products.

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Gain power over your Cloud Firestore data with a smart GUI
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Easy-to-use, secure, and affordable GPU cloud ⌛ Start training ML models in 2 minutes with ready-made templates 👩💻 REST API and CLI 🔒 Servers at secure data centers ✏️ Edit servers to right-size workloads 💸 Save up to 70% ✅ CPU-only servers availab…
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GPU cloud computing made easy. Effortless infrastructure for Machine Learning and Data Science
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Rowy is an open-source low-code platform to build your product, from MVP to scale. Manage your database in a spreadsheet-like UI, write Cloud Functions effortlessly in the browser, build automation with ready-made extensions to your favorite tools.
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