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Mirror Tang
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It's still the foreigners who make the fool of themselves
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Mirror Tang
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下个里程碑,感谢大家
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过去大家拼命上云, 但推理阶段的单位算力成本让很多团队意识到:长周期、大规模的 AI 推理在云上烧钱太快. AI 原生应用更适合将关键推理任务下沉到本地机房, 既降低延迟又节省带宽和云租用费用 争夺内存是深度学习训练早期的典型特征(谁的显存大谁赢) , 但今天: 存储到 GPU 的数据吞吐极限直接影响推理 QPS GPU 与 CPU/加速卡之间的交互速度是流水线性能的上限 单机柜 AI 集群功耗可达数十千瓦,PD设计不合理会直接卡死算力部署规模 如果数据中心布局还停留在 2015 年传统 Web/数据库业务的设计范式,就会在 AI 工作负载下直接翻车 在福布斯上查看我们的见解:https://www.forbes.com/councils/forbestechcouncil/2025/08/08/20-tech-experts-on-emerging-hardware-trends-businesses-must-watch/
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跟进 B3 这个项目很久了,一开始以为只是一个GameChain,看了他们的最新进展,已经逐步在走消费者应用入口的路线了,回购金库公布是短期拉升的前兆,投资者应重点关注
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🎉 ZEROBASE 现已上线 BinanceWallet! ZK 会自动追踪你的持仓 —— 所以你不需要亲自操作 现在只需一键,即可开始获得可验证的收益
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SEC 确定流动性质押收据不属证券. 这无疑是 DeFi 与 ETH 的重大利好,合规风险骤降,资金进场窗口打开 下一个叙事:可信收益层!
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