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$GMT

Cooling Down

Snapshot Window: 2026-07-17 04:20 UTC · ← Back to Crypto Overview

Tracked Posts
2
Total Impressions
251
Total Likes
6
Retweets & Quotes
0
Comments
0

Social Momentum Summary

Total Engagement - Comments: 0, Retweets: 0, Likes: 6, Impressions: 251

Verbatim Community Citations & Social Evidence 2 source posts analyzed

@HuuHoang88

Why is RWA tokenization attracting so much attention? As institutions explore blockchain, the demand for compliant and scalable infrastructure continues to grow. @CNPYNetwork is developing a Layer-1 designed specifically for tokenized real-world assets. Cross-chain

@Eli5defi

Inference has quietly become the main event on GPUs, pushing training into the background. A financial layer is forming around it in real time. Offchain, CME + Silicon Data and ICE + @OrnnExchange are lining up GPU futures. Even @Kalshi recently launched its compute market.

The image, titled "Compute Stacks: How crypto is building the financial layer around GPU inference," is an infographic from EliSdefi breaking down the growing crypto-based financial ecosystem around GPU compute, highlighting market participants like CME Group, ICE, and Kalshi forming compute markets, key statistics such as Morgan Stanley's $2.9T data-center capex forecast and McKinsey's $3.7-9T AI-processing projection by 2030, and three emerging crypto categories—Own the Access (Venice), Mine the Production (Ambient, Pearl), and Finance the Hardware (USDAi). It visually supports the post by illustrating how inference is becoming the central GPU use case and how both traditional (CME, ICE, Kalshi) and crypto-native players (Venice, Ambient, Pearl, USDAi) are building parallel financial layers around compute access, production, and hardware financing.

AI visual note: The image, titled "Compute Stacks: How crypto is building the financial layer around GPU inference," is an infographic from EliSdefi breaking down the growing crypto-based financial ecosystem around GPU compute, highlighting market participants like CME Group, ICE, and Kalshi forming compute markets, key statistics such as Morgan Stanley's $2.9T data-center capex forecast and McKinsey's $3.7-9T AI-processing projection by 2030, and three emerging crypto categories—Own the Access (Venice), Mine the Production (Ambient, Pearl), and Finance the Hardware (USDAi). It visually supports the post by illustrating how inference is becoming the central GPU use case and how both traditional (CME, ICE, Kalshi) and crypto-native players (Venice, Ambient, Pearl, USDAi) are building parallel financial layers around compute access, production, and hardware financing.

Contributing Voices for $GMT

@STEPNatBEAR @1235_sj