# $ZEROTRACE Social Sentiment & Intelligence — 2026-09-25 02:40 UTC

> **Asset:** $ZEROTRACE  
> **Momentum Status:** Stable  
> **Timestamp:** 2026-09-25 02:40 UTC (2026-09-25T02:40:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-09-25-02-40/crypto/ZEROTRACE  
> **Overview Brief:** https://cryptitalk.com/2026-09-25-02-40/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 162
- **Likes:** 16
- **Retweets:** 0
- **Comments:** 11

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 11, Retweets: 0, Likes: 16, Impressions: 162


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## Cited Community Posts & Evidence


### Post #1 by @spheron
> **Author:** [@spheron](https://x.com/spheron)  
> **Metrics:** 0 likes · 0 retweets · 0 comments · 442 views  


> **Source Link:** [https://x.com/spheron/status/2103314500959240582](https://x.com/spheron/status/2103314500959240582)  


> **Visual Context:** An infographic from Spheron Network highlighting a '1.75x throughput gain' for LLAMA 3.3 on H100, comparing FA2 at 12,000 tok/s to FA3 + FP8 at 21,000 tok/s.  

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> "Serving Llama 3.3 70B on H100 at 8K context and batch 32: FA2 gets you to about 12,000 tok/s. Add FlashAttention-3, then stack FP8 attention on top, and the same setup reaches about 21,000 tok/s, a 1.75x jump from software alone.

The version floor to get there: CUDA 12.3+,"




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## Contributing Accounts

- `@david_lee2085` (https://x.com/david_lee2085)