First, let's talk about the value of the Google Cloud credit limit.

Not regular sponsorship, but a support program for Google AI startups ( aimed at high-potential tech teams ) requires a three-step evaluation: technical solution, team background, and commercial prospects.
Analogy: equivalent to the "Oscar" in the world of technology, confirming that the architecture of the AI project has received approval from leading cloud providers.

What can be done with 200,000 dollars?
Support:
Over 10,000 hours of GPU computing power (training an AI model with a trillion parameters)
500TB level of storage and data analysis on the blockchain
One million API calls for AI computations every month
Saving on development ≈ equivalent cost of early funding $500,000+

Secondly, the direction of strengthening the $CA CAILA ecosystem

1. Technical breakthrough

AI model optimization on the blockchain: using Google TPU computing power to enhance model efficiency, for example, reducing Gas consumption by over 30%.

Reliable data processing: connecting to Google BigQuery for blockchain data analysis and generating high-accuracy oracle output data.

2. Implementation at the product level

Free limit for users: distribution of test points for AI services ( such as online smart consultant, tools for NFT generation ) to attract users and retain customers.

B2B corporate services: providing subsidized AI infrastructure for collaborative projects ( such as MEV protection algorithms for DEX, NPC engine for GameFi ), B2B entry capture.

3. Strengthening Tokenomics
$CA use case scenarios for extension:
Payment for AI services ( after deducting expenses for Google Cloud )
Rate for obtaining higher computing power
Launch of the deflation mechanism: part of the service fees is used for the repurchase and burning of $CA.
Core Logic:(