# $MONET Social Sentiment & Intelligence — 2026-09-11 00:10 UTC

> **Asset:** $MONET  
> **Momentum Status:** Fading Quickly  
> **Timestamp:** 2026-09-11 00:10 UTC (2026-09-11T00:10:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-09-11-00-10/crypto/MONET  
> **Overview Brief:** https://cryptitalk.com/2026-09-11-00-10/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 99
- **Likes:** 2
- **Retweets:** 0
- **Comments:** 0

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 0, Retweets: 0, Likes: 2, Impressions: 99


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## Cited Community Posts & Evidence


### Post #1 by @spheron
> **Author:** [@spheron](https://x.com/spheron)  
> **Metrics:** 0 likes · 0 retweets · 1 comments · 295 views  


> **Source Link:** [https://x.com/spheron/status/2098202568874987906](https://x.com/spheron/status/2098202568874987906)  


> **Visual Context:** An infographic from Spheron.network comparing infrastructure setup costs for a 235B MoE Model, showing 4X H100 (FP8) at $2.18 per million tokens versus 1X H200 (Expert Offload) at $0.79 per million tokens with an 18% throughput trade-off.  

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> "We ran the same 235B-parameter MoE model (it only activates a few expert networks per token) twice. Same weights, same prompts.

- 4x H100 at FP8: $2.18 per million tokens
- 1x H200 with expert offload: $0.79 per million tokens

The difference: DynaExq, a quantization method that"




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## Contributing Accounts

- `@retrogeneral` (https://x.com/retrogeneral)