jilebi vs dotcore
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
jilebi compared with dotcore
| Detail | 
jilebi | 
dotcore |
|---|
| What it does | Linux machines in the cloud for AI agents
| Run AI models on your own hardware with automatic optimization and a single endpoint
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| Stage | Startup
| Not given
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| Founded | Not given
| Not given
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| Based in | Not given
| Not given
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| Pricing model | Paid
| Open source
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| Pricing | CPU: $0.009/vCPU·hr, Memory: $0.009/GB·hr, Disk: $0.0001/GB·hr. Stopped machines cost $0.0001/GB·hr.
| Not given
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| Key features | - Launch machines in seconds
- Auto-sleep when not in use
- Wake up in milliseconds
- Dedicated CPU, memory and disk per instance
- Clone machines with same setup
- Automatic routing without IP configuration
- Standard tools support (docker, ssh)
- Share routes with selective access
| - Automatic model loading from Hugging Face and other sources
- Hardware-aware model optimization for VRAM and context length
- OpenAI-compatible endpoint
- Support for multiple inference engines
- Single unified endpoint for all models and machines
- Distributed compute across multiple machines
- Built-in app catalog with chat UIs and RAG tools
- Integration with cloud providers
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| What makes it different | - Machines wake in milliseconds
- No special CLI required
- Fully isolated virtual sandbox for each machine
- No credit card required to start
| - No manual engine configuration needed
- Automatic workload-based tuning
- One endpoint covers local and cloud models
- Built on trusted community engines
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 7 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 19 | 0 |
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| Referring domains (Majestic) | 10 | 0 |
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4 details filled in for both companies.
More alternatives to jilebi More alternatives to dotcore