🚀 Get ready for the future of AI and blockchain!
Micro Matrix Computing
Explore MC: Decentralized AI Computing Power Application Network | Micro Matrix Computing
Learn about MC (Matrix Computing), a leading decentralized AI computing power application network. Discover its role as a representative project in the AI computing power domain. Join us today to e...
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AI Training and Inference
The process of utilizing MMC for AI training and AI inference is as follows:
Resource Preparation: MMC integrates idle GPUs from abandoned Ethereum (ETH) miners and Filecoin (FIL) miners to build a distributed GPU computing network. Before using MMC, it is necessary to ensure that the computing nodes have the appropriate hardware and the capability to connect to the MMC network.
Task Scheduling: The MMC protocol handles task scheduling and task distribution. During AI training, the task scheduling module divides the tasks into appropriate computing units and distributes them to participating computing nodes in the MMC network. This ensures that tasks can be efficiently and in parallel executed across the distributed GPU computing nodes.
AI Model Training: When using MMC for AI model training, the task scheduling module distributes the training tasks to available computing nodes. These nodes utilize their GPU computing power to execute the training tasks, performing backpropagation and parameter optimization using datasets, ultimately training high-performance AI models.
AI Inference: Once the AI models are trained, MMC can be used for AI inference. Inference tasks involve passing input data to the trained models and generating corresponding output results. The task scheduling module distributes the inference tasks to computing nodes, which leverage their GPU computing power to perform real-time processing of input data and generate inference results.
By distributing AI training and inference tasks to the distributed GPU computing network of MMC, task processing speed and computational efficiency can be accelerated. MMC's distributed architecture provides greater computational power and flexibility, enabling more efficient and scalable AI model training and inference.
It is important to note that utilizing MMC for AI training and inference requires appropriate technical configurations and resource management to ensure smooth task execution. Additionally, MMC provides economic incentives to encourage participation and contribution from computing nodes, further promoting the development and application of AI training and inference.
The process of utilizing MMC for AI training and AI inference is as follows:
Resource Preparation: MMC integrates idle GPUs from abandoned Ethereum (ETH) miners and Filecoin (FIL) miners to build a distributed GPU computing network. Before using MMC, it is necessary to ensure that the computing nodes have the appropriate hardware and the capability to connect to the MMC network.
Task Scheduling: The MMC protocol handles task scheduling and task distribution. During AI training, the task scheduling module divides the tasks into appropriate computing units and distributes them to participating computing nodes in the MMC network. This ensures that tasks can be efficiently and in parallel executed across the distributed GPU computing nodes.
AI Model Training: When using MMC for AI model training, the task scheduling module distributes the training tasks to available computing nodes. These nodes utilize their GPU computing power to execute the training tasks, performing backpropagation and parameter optimization using datasets, ultimately training high-performance AI models.
AI Inference: Once the AI models are trained, MMC can be used for AI inference. Inference tasks involve passing input data to the trained models and generating corresponding output results. The task scheduling module distributes the inference tasks to computing nodes, which leverage their GPU computing power to perform real-time processing of input data and generate inference results.
By distributing AI training and inference tasks to the distributed GPU computing network of MMC, task processing speed and computational efficiency can be accelerated. MMC's distributed architecture provides greater computational power and flexibility, enabling more efficient and scalable AI model training and inference.
It is important to note that utilizing MMC for AI training and inference requires appropriate technical configurations and resource management to ensure smooth task execution. Additionally, MMC provides economic incentives to encourage participation and contribution from computing nodes, further promoting the development and application of AI training and inference.
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🌐 DePIN Track Demo Day is here! Join us on Nov 7 to witness cutting-edge #DePIN innovations in action! 🚀
🗓 Date: Nov 7
🕒 Time: 12:00 PM - 2:00 PM (UTC)
🗓 Date: Nov 7
🕒 Time: 12:00 PM - 2:00 PM (UTC)
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Due to current market conditions I now identify as a memecoin.
The ticker is $MMC
The ticker is $MMC
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NVIDIA’s influence on AI growth shows the potential of this tech revolution. 🌍 #MMC is building a decentralized AI (#DeAI) framework to make these advances more trustworthy and accessible. The future is decentralized and intelligent! 🚀
#Web3 #Innovation
https://www.forbesmiddleeast.com/money/markets/nvidia-rallies-5-ahead-of-earnings-what-to-expect-from-most-important-stocks-report
#Web3 #Innovation
https://www.forbesmiddleeast.com/money/markets/nvidia-rallies-5-ahead-of-earnings-what-to-expect-from-most-important-stocks-report
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Pump is fun and makes it easy to try out buying for newbies. This is very similar to our concept of building MMC. I think it is time for them to cooperate.
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The AI track is heating up, and on-chain solutions are the way forward! 🔥
@MicroMatrixCalc
is perfectly suited for scaling global AI data solutions—transparent, efficient, and decentralized. 🌍
What’s your next big idea in #AI? Let’s make it happen! 🚀
#MMC #DeAI
@MicroMatrixCalc
is perfectly suited for scaling global AI data solutions—transparent, efficient, and decentralized. 🌍
What’s your next big idea in #AI? Let’s make it happen! 🚀
#MMC #DeAI
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MMC Official pinned «Due to current market conditions I now identify as a memecoin. The ticker is $MMC»
💡 What is MMC?
@MicroMatrixCalc
is a revolutionary Layer 1 blockchain reshaping AI and decentralized infrastructure with DeAI (Decentralized AI) and DePIN (Decentralized Physical Infrastructure Networks). 🚀
🌐 Core Features:
✅ Decentralized AI (DeAI):
Empowering AI to operate transparently on decentralized GPU networks—breaking the barriers of centralized AI. Think: accessible, cost-effective, and community-driven AI.
✅ DePIN Infrastructure:
Seamless integration of real-world applications like IoT devices, edge computing, and decentralized storage within the blockchain ecosystem. 🌍
✅ Scalability & Speed:
Enjoy ultra-low latency and high transaction throughput powered by MMC’s advanced consensus mechanism. Ideal for AI-driven and infrastructure-heavy solutions. ⚡
✅ Developer Ecosystem:
Fueling innovation with a $1M builder grant program to support developers creating the next wave of decentralized applications. 💡
🔗 Let’s build the future together with #MMC!
#DeAI #DePIN #Blockchain #Innovation 🌟
@MicroMatrixCalc
is a revolutionary Layer 1 blockchain reshaping AI and decentralized infrastructure with DeAI (Decentralized AI) and DePIN (Decentralized Physical Infrastructure Networks). 🚀
🌐 Core Features:
✅ Decentralized AI (DeAI):
Empowering AI to operate transparently on decentralized GPU networks—breaking the barriers of centralized AI. Think: accessible, cost-effective, and community-driven AI.
✅ DePIN Infrastructure:
Seamless integration of real-world applications like IoT devices, edge computing, and decentralized storage within the blockchain ecosystem. 🌍
✅ Scalability & Speed:
Enjoy ultra-low latency and high transaction throughput powered by MMC’s advanced consensus mechanism. Ideal for AI-driven and infrastructure-heavy solutions. ⚡
✅ Developer Ecosystem:
Fueling innovation with a $1M builder grant program to support developers creating the next wave of decentralized applications. 💡
🔗 Let’s build the future together with #MMC!
#DeAI #DePIN #Blockchain #Innovation 🌟
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The fusion of AI and robotics is set to redefine industries, with end-to-end robot AI opening new horizons for automation and decision-making. 🚀
At MMC, we’re at the forefront of building blockchain infrastructure designed to empower these advancements. By merging decentralized systems with AI innovation, we’re shaping a smarter, more connected future. 🤖
The journey towards autonomous intelligence is just beginning—let’s build it together!
#DecentralizedAI #RoboticsRevolution #Web3Innovation
At MMC, we’re at the forefront of building blockchain infrastructure designed to empower these advancements. By merging decentralized systems with AI innovation, we’re shaping a smarter, more connected future. 🤖
The journey towards autonomous intelligence is just beginning—let’s build it together!
#DecentralizedAI #RoboticsRevolution #Web3Innovation
🏅#MMC embarks on a mission to disrupt monopolies and spearhead the era of decentralized AI.
🎯 AI GPUs are in high demand and vanishing fast.
NVIDIA CEO Jensen Huang says,
“Europe’s AI computing shortage will be resolved soon.”
But why wait?
🚀 Turn your existing GPU into a revenue stream with MMC:
✅ Decentralize your compute power
💰 Monetize your idle hardware
🔗 Get started: http://micromatrix.xyz/documentation
Don’t let your GPU sit idle—put it to work today.
NVIDIA CEO Jensen Huang says,
“Europe’s AI computing shortage will be resolved soon.”
But why wait?
🚀 Turn your existing GPU into a revenue stream with MMC:
✅ Decentralize your compute power
💰 Monetize your idle hardware
🔗 Get started: http://micromatrix.xyz/documentation
Don’t let your GPU sit idle—put it to work today.
📊 DePIN by the Numbers – H1 2025 (via Grayscale):
🟣 48.2% of DePIN market cap is powering AI workloads (compute, data scraping)
🟣 21.6% goes to data storage
🟣 20.6% supports video streaming
🟣 9.6% serves wireless/IoT
Bottom line: AI is the driving force behind DePIN.
And MMC is at the forefront—unlocking decentralized GPU compute to fuel that AI revolution.
🟣 48.2% of DePIN market cap is powering AI workloads (compute, data scraping)
🟣 21.6% goes to data storage
🟣 20.6% supports video streaming
🟣 9.6% serves wireless/IoT
Bottom line: AI is the driving force behind DePIN.
And MMC is at the forefront—unlocking decentralized GPU compute to fuel that AI revolution.
⚡️ NVIDIA’s DGX Cloud Lepton gives devs access to tens of thousands of GPUs across cloud providers.
Sounds powerful, right?
But what if your GPU could join the party? 🎉
With MMC, your idle GPU becomes part of a decentralized AI supercloud:
🛠️ No gatekeepers
🧠 Pure compute
💰 Real rewards
#MMC #DGXCloud #AI #ComputeToEarn #Web3Compute
Sounds powerful, right?
But what if your GPU could join the party? 🎉
With MMC, your idle GPU becomes part of a decentralized AI supercloud:
🛠️ No gatekeepers
🧠 Pure compute
💰 Real rewards
#MMC #DGXCloud #AI #ComputeToEarn #Web3Compute
🚨 Unpopular opinion: 90% of “AI+Web3” = Web2 AI + token sticker 🩹💰
The real AI x Web3 convergence? It’s going to be a paradigm shift.
Let me explain… 🧵👇
#AI #Web3 #DecentralizedAI #BuildInPublic #Web3Development
The real AI x Web3 convergence? It’s going to be a paradigm shift.
Let me explain… 🧵👇
#AI #Web3 #DecentralizedAI #BuildInPublic #Web3Development