Groq vs jilebi
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Groq compared with jilebi
| Detail | G
Groq | 
jilebi |
|---|
| What it does | Premier neocloud for fast inference
| Linux machines in the cloud for AI agents
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| Stage | Established
| Startup
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Not given
| Paid
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| Pricing | Not given
| CPU: $0.009/vCPU·hr, Memory: $0.009/GB·hr, Disk: $0.0001/GB·hr. Stopped machines cost $0.0001/GB·hr.
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| Key features | - GroqMetal: dedicated bare-metal infrastructure tuned for speed and reliability
- GroqCore: production-ready inference stack with no infrastructure expertise required
- GroqAssured: enterprise-grade governance, auditability, and control
- 256 LPUs per rack with 40 PB/s SRAM bandwidth
- 1,000 tokens per second per user throughput
- 128 GB on-chip SRAM per rack
- 315 PFLOPS of FP8 inference compute
- 13 globally distributed data centers across four continents
| - 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
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| What makes it different | - Fast inference at scale without sacrificing affordability
- LPU pioneered technology integrated with NVIDIA GPUs
- Fully integrated platform combining infrastructure, inference, and control
| - Machines wake in milliseconds
- No special CLI required
- Fully isolated virtual sandbox for each machine
- No credit card required to start
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 86 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 37 | 0 |
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| Citation Flow (Majestic) | 56 | 19 |
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| Referring domains (Majestic) | 12552 | 10 |
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4 details filled in for both companies.
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