Description
jilebi offers cloud-based Linux machines tailored for AI development and workloads, emphasizing both performance and affordability. The platform allows developers to quickly provision isolated Linux instances, pre-installed with any required software, enabling them to ship AI projects efficiently. A key benefit is the pay-per-use model, where users are charged only for the time their machines are actively running. When a machine is stopped or idle, only a minimal cost for disk storage applies, making it a cost-effective solution for intermittent or bursty AI tasks.
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Each jilebi machine operates within its own virtualized sandbox, guaranteeing dedicated CPU, memory, and disk resources for consistent performance. This isolation enhances security and ensures that workloads do not interfere with one another. The platform is designed for speed, allowing users to launch a new machine in seconds without waiting for infrastructure setup. Furthermore, jilebi machines feature an auto-sleep function, automatically pausing when not in use and waking up in milliseconds when needed, optimizing operational costs.
For enhanced usability, jilebi simplifies network access by automatically routing traffic to machines and applications. Users don't need to remember complex IPs or ports; instead, they can connect via SSH, SCP, or cURL using simple usernames, machine names, and app names. This eliminates the need for extra configuration, streamlining the development workflow. The platform is built to integrate seamlessly with existing developer tools and practices, supporting standard commands like Docker and SSH without requiring any special CLI.
Developers can choose from pre-configured stacks like Opencode, Claude Code, or Hermes, or use their own shell scripts to customize their environment. Once a machine is configured, it can be cloned to quickly spin up multiple instances with identical setups. jilebi also facilitates collaboration by allowing users to expose ports as routes and share their applications with chosen collaborators or make them public. The service offers a straightforward onboarding process, enabling users to start their first machine without a credit card and pause it at any time.
- CategoryAI DevOps & Cloud Tools
- Pricing ModelPay-per-use
- DeploymentCloud
- PlatformsWeb
jilebi's Core Features
Affordable Linux machines for AI workloads
Isolated virtualized sandboxes with dedicated resources
Pay-per-use pricing, only for active runtime
Automatic machine sleep when not in use
Fast machine launch in seconds
Pre-installed software and customizable stacks
Automatic traffic routing to machines and apps
Support for standard developer tools (Docker, SSH)
Ability to clone machine configurations
Secure and isolated environment
Expose ports as routes for sharing applications
No credit card required to start
Pause machines anytime
How to use jilebi?
Pick a Stack: Choose from Opencode, Claude Code, Hermes, or use your own shell scripts.
Boot a Computer: A hardware-virtualized node spins up in seconds.
Connect & Ship: SSH directly into your machine over a routed subdomain.
Clone or Pause: Duplicate your machine setup or pause it when your work is done.
Share Applications: Expose ports as routes to share with friends or make public.
jilebi's Use Cases
- AI Agent Development
- Machine Learning Workloads
- Cloud Development Environments
- Rapid Prototyping
- Cost-Optimized AI Projects
- Secure AI Experimentation
