Groq vs FastRecall
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 FastRecall
| Detail | Groq | FastRecall |
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| What it does | Premier neocloud for fast inference
| Context across AI models. Made for routers and multi-agent systems.
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| Stage | Established
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
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| Pricing | Not given
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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
| - Lightning fast context recall
- Free context retrievals
- Model-free context compaction
- Multi-model support
- FlashCompact intelligent context organization
- Model provider caching integration
- Persistent context across providers
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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
| - No LLM-based compaction overhead
- Multi-model compatibility
- Inexpensive storage pricing
- Fast recalls with no retrieval fees
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 85 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 37 | 0 |
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| Citation Flow (Majestic) | 56 | 25 |
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| Referring domains (Majestic) | 12552 | 27 |
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3 details filled in for both companies.
More alternatives to Groq More alternatives to FastRecall