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宋雨琦你可以说不舒服。。。 #idle# #宋雨琦# #YUQI#
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Took me years to realize the steadiest money in crypto never comes from guessing candles. While traders bleed out chasing narratives, the quietest businesses here just act as the middleman between projects that need liquidity and wallets sitting on idle cash. That is literally all @turtledotxyz does. Instead of gambling on token prices, they brought in $1.04M in cash in Q3, up from $898K in Q2, just by connecting protocols, creators, and depositors. Holding $TURTLE doesn't mean you automatically get a cut of that cash, but watching a boring middleman print 7 figures in a choppy market is a good reminder of where the real money sits.
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Three different idle poses, and only Yixuan has them The devs clearly love her. #ZenlessZoneZero# #zzzero# #ゼンゼロ#
Lending and borrowing are now live on dreamDEX. Put idle assets to work between trades, or borrow against them when you need liquidity. Markets provided by @somnialend
Introducing Runware Serverless. The lowest-cost way to run your own custom AI workloads. $0 while idle. Then from $0.63/GPU-hour. Deploy Python code or a container, choose your GPU and configure scaling. We handle the scheduling, queues, workers and routing.
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Asset Yield is live. Idle stocks earn while you hold them. Your NVDA goes into a band just above the price: below it the shares stay yours, inside it they earn the pool fee on every trade, through the top they are sold at a price you saw before signing. Cash goes to Spark Savings at 3.50%. Public contracts only. No Verdex contract, no Verdex
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Introducing Runware Serverless, now available, with industry-leading pricing. Deploy Python code or a container, choose your GPU and configure scaling. We handle the scheduling, queues, workers and routing. - $0 while idle - From $1.60/GPU-hour on demand - From $0.99/GPU-hour with commitment
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[📢] True Damage is back, featuring SOYEON as Akali. "Know My Name" out Oct 8, 6PM PT. #아이들# #idle# #소연# #SOYEON# #TrueDamage# #KnowMyName# #LeagueOfLegends#
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Cheaper tokens should mean cheaper AI bills. They don't. Cheaper tokens unlock agentic workflows, and agents burn 5-30x more tokens per task. Consumption is outpacing the price drop. The real problem is idle GPUs. With average enterprise utilization sitting around 5% most companies aren't paying too much for tokens, they're paying for compute they're not using.
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