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SONM • Global Leading Fog Computing Firm, the First IPFS+NFT Gem. Join in our telegram group https://xitter.gq/t.co/3A4G4fvGW7

Joined January 2017
👏👏👏 Trading volume of $SNM / $BUSD crossed $100 million in less than 18 hours Congratulations to our great community 🔥🚀❤️ #SNM #SONM #BTC #Binance
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Last call 📢 $SNM / $BUSD will be open for trading in 30 minutes #SNM #SONM #Binance #BTC 🚀🚀🚀
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💯💯💯 Count down for $SNM / $BUSD trading pair @binance #SONM #SNM #Bitcoin #Binance
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As the 1st Global Computing Resource Network, #SONM $SNM develops a Decentralized #Fog Architecture to power #web3 applications ✅Rendering ✅Machine Learning ✅Huge pool of GPU, HDD, RAM, etc ✅Docker compatibility & scalability on demand Check anything you miss about 𝗦𝗢𝗡𝗠🧐
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(6/9) On the other side, if you need rigs or your hardware is underperforming, SONM's resource pool offers you multiple options to rent. Moreover, anything that needs computing power can find a solution: #rendering, #maching learning and more.
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(2/9) As usual, hardcore first: what is _aaS?🤔 🔎IaaS: Infrastructure as a Service 🔎SaaS: Software as a Service 🔎PaaS: Platform as a Service There's definitely more _aaS, but let's focus on IaaS for this time.
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(1/9) 👨‍💻 #SONM Desk 101 - EP2 GM $SNM fam🌞 You might have heard numerous times about IaaS/SaaS/PaaS🤯. If you ever wonder what on earth is that and how SONM exerts its #IaaS force in #Web3, don't miss this thread 🧵
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(7/8) As #5G tech intertwines with #fog computing, "infomation superhighway" won't take long to achieve. SONM will go beyond its IaaS potential, and play an active part in #IoT and #energy transition in the future. Stay tuned for the latest update. rt@antgrasso
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(4/8) What to do with fog? — Anything that requires intensive computing. #MachineLearning, let's say. SONM's remote hardware is optimized to speed up and scale ML workloads and compatible to professional ML SWs like TensorFlow, Theano etc.
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(3/8) That being said, geologically distributed fog will form a network where nodes exchange and tasks are allocated to the most accessible fogs, or edge devices. When the request from users is triggered, fog-based technology will auto choose the nearest hardwares for computing.
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