⚡️Overview of Grayscale's newly launched AI + Crypto sector——

In fact, Grayscale has created an institutional version of an investment framework, covering 20 types of assets with a total market capitalization of approximately $20 billion. A brief look shows that it is mainly divided into three categories:

1️⃣ Basic Computing Layer: Solving the computing bottleneck problem of Web2 AI

Render (RNDR) → Distributed GPU rendering/computing network

Akash (AKT) → Decentralized cloud computing market

2️⃣ Distributed Resource Allocation: Establishing an on-chain incentive system for AI model contribution, verification, and reuse

Bittensor (TAO) → Decentralized machine learning network

http://Fetch.ai (FET) → Multi-agent intelligent system

SingularityNET (AGIX) → Distributed marketplace for AI services

3️⃣ Application Interfaces and Middleware: Embedding AI into on-chain user experience

Near (NEAR) → L1 with strong integration with AI, Agent architecture

Oraichain (ORAI) → AI oracle, connecting on-chain and off-chain AI data

Currently, there are too many and too varied AI projects. Grayscale's framework still holds certain reference significance, mainly consisting of infrastructure-type projects. If you want to allocate assets or copy homework, you can refer to this table. It also serves as a good reference for sector rotation!

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