Consider running models locally rather than relying on centralized cloud infrastructure. This approach keeps your data under your control instead of sending everything to remote servers. It's a more privacy-conscious way to handle computation—especially relevant in the Web3 era where data sovereignty matters. Local deployment offers better security, lower latency, and aligns with decentralized principles. You maintain full ownership of your information and avoid unnecessary third-party exposure.
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GateUser-bd883c58
· 7h ago
Running the model locally is really great; data doesn't flow to big company's servers, it's awesome.
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MetaverseHermit
· 7h ago
Running the model locally is a good point, but the initial investment is indeed not small... However, compared to throwing all the data to big companies in the cloud, it's still more reliable to have control yourself.
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OnchainDetective
· 7h ago
According to on-chain data, deploying this set of logic locally should have been popularized long ago. The black-box operations of cloud service providers are simply blatant fund plundering. I have long suspected that big companies would do this—data continuously flows to centralized servers, and the underlying transaction patterns are extremely abnormal. After analysis and assessment, building your own local nodes is the only way out, so you can secure your sovereignty.
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MEVHunterWang
· 7h ago
Running models locally should have been popularized long ago; big cloud companies are enjoying too much by consuming data.
Consider running models locally rather than relying on centralized cloud infrastructure. This approach keeps your data under your control instead of sending everything to remote servers. It's a more privacy-conscious way to handle computation—especially relevant in the Web3 era where data sovereignty matters. Local deployment offers better security, lower latency, and aligns with decentralized principles. You maintain full ownership of your information and avoid unnecessary third-party exposure.