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The Environmental Impact of AI Computing #AI models require vast amounts of computational power, leading to increased electricity consumption and greenhouse gas emissions. Studies indicate that training a single AI model can emit as much carbon as five cars over their lifetime. Traditional cooling methods in data centers further exacerbate energy use, making sustainability a critical consideration. Sustainable Solutions in AI Infrastructure To address these challenges, companies are integrating renewable energy sources such as solar and wind into AI operations. Additionally, liquid cooling systems replace energy-intensive air cooling, drastically reducing power consumption. Another promising approach is blockchain-based decentralized computing, which optimizes computational resources across networks, minimizing waste and enhancing efficiency. AITECH's Commitment to Eco-Friendly AI #AITECH is at the forefront of sustainable AI development. Their innovative eco-friendly HPC Data Center leverages advanced cooling systems and renewable power sources to push AI boundaries while reducing carbon impact. This initiative showcases that AI computing and environmental responsibility can coexist harmoniously. Read more about AITECH’s stance here: AITECH Tweet Community-Driven Sustainability Through DAO Labs The role of community contributions in sustainable AI development is pivotal. DAO Labs' Social Mining Solidus Hub Elements exemplify how decentralized efforts drive progress. By enabling individuals to participate in AI sustainability projects, DAO Labs ensures that environmental responsibility is a shared mission rather than an isolated initiative. Conclusion The future of AI lies in sustainable innovation. The industry can mitigate its environmental impact by leveraging renewable energy, efficient cooling systems, and decentralized computing. With organizations like AITECH and DAO Labs leading the way, AI can thrive without compromising the planet’s well-being. #Sustainability #HPC @TheDAOLabs @AITECHio
The Environmental Impact of AI Computing

#AI models require vast amounts of computational power, leading to increased electricity consumption and greenhouse gas emissions. Studies indicate that training a single AI model can emit as much carbon as five cars over their lifetime. Traditional cooling methods in data centers further exacerbate energy use, making sustainability a critical consideration.

Sustainable Solutions in AI Infrastructure

To address these challenges, companies are integrating renewable energy sources such as solar and wind into AI operations. Additionally, liquid cooling systems replace energy-intensive air cooling, drastically reducing power consumption. Another promising approach is blockchain-based decentralized computing, which optimizes computational resources across networks, minimizing waste and enhancing efficiency.

AITECH's Commitment to Eco-Friendly AI

#AITECH is at the forefront of sustainable AI development. Their innovative eco-friendly HPC Data Center leverages advanced cooling systems and renewable power sources to push AI boundaries while reducing carbon impact. This initiative showcases that AI computing and environmental responsibility can coexist harmoniously.

Read more about AITECH’s stance here: AITECH Tweet

Community-Driven Sustainability Through DAO Labs

The role of community contributions in sustainable AI development is pivotal. DAO Labs' Social Mining Solidus Hub Elements exemplify how decentralized efforts drive progress. By enabling individuals to participate in AI sustainability projects, DAO Labs ensures that environmental responsibility is a shared mission rather than an isolated initiative.

Conclusion

The future of AI lies in sustainable innovation. The industry can mitigate its environmental impact by leveraging renewable energy, efficient cooling systems, and decentralized computing. With organizations like AITECH and DAO Labs leading the way, AI can thrive without compromising the planet’s well-being.

#Sustainability #HPC @TheDAOLabs @AITECHio
Solidus AI Tech GPU Marketplace: Unlocking Advanced Computing PowerThe Solidus #AITech GPU Marketplace is a comprehensive platform designed to bring high-performance GPU computing within reach of users across industries. By connecting a network of powerful GPUs through an easy-to-use interface, the marketplace is an ideal solution for developers, businesses, and researchers aiming to scale their projects efficiently. What is the Solidus AI Tech GPU Marketplace? The marketplace offers users access to a selection of GPUs from global vendors and a state-of-the-art HPC data center. This setup enables tasks that demand heavy computational power, like model training, simulations, video rendering, and beyond. How Does It Work? Users can browse and select #GPU instances tailored to their needs. With options for customizing the operating system and computing environment, they can deploy their chosen instance in one click. For added convenience, the marketplace provides real-time usage analytics and performance logs, empowering users to monitor and manage resources effectively. What are the Key Benefits? Cost Efficiency: Competitive pricing democratizes access to GPU power, allowing businesses of all sizes to afford advanced computing resources.Flexibility and Control: Customizable configurations make it easy to find and deploy the right setup for any project.Streamlined for Vendors: GPU vendors also benefit, as they can list and manage offerings while reaching a broad audience, simplifying operations and maximizing ROI. In summary, the Solidus AI Tech GPU Marketplace revolutionizes access to high-performance computing, empowering users and vendors alike to harness powerful computing resources for their innovative projects. @AITECH #HPC

Solidus AI Tech GPU Marketplace: Unlocking Advanced Computing Power

The Solidus #AITech GPU Marketplace is a comprehensive platform designed to bring high-performance GPU computing within reach of users across industries. By connecting a network of powerful GPUs through an easy-to-use interface, the marketplace is an ideal solution for developers, businesses, and researchers aiming to scale their projects efficiently.

What is the Solidus AI Tech GPU Marketplace?
The marketplace offers users access to a selection of GPUs from global vendors and a state-of-the-art HPC data center. This setup enables tasks that demand heavy computational power, like model training, simulations, video rendering, and beyond.

How Does It Work?
Users can browse and select #GPU instances tailored to their needs. With options for customizing the operating system and computing environment, they can deploy their chosen instance in one click.
For added convenience, the marketplace provides real-time usage analytics and performance logs, empowering users to monitor and manage resources effectively.

What are the Key Benefits?
Cost Efficiency: Competitive pricing democratizes access to GPU power, allowing businesses of all sizes to afford advanced computing resources.Flexibility and Control: Customizable configurations make it easy to find and deploy the right setup for any project.Streamlined for Vendors: GPU vendors also benefit, as they can list and manage offerings while reaching a broad audience, simplifying operations and maximizing ROI.
In summary, the Solidus AI Tech GPU Marketplace revolutionizes access to high-performance computing, empowering users and vendors alike to harness powerful computing resources for their innovative projects. @AITECH #HPC
Solidus @AITECH GPU Marketplace: Unlocking High-Performance Computing Power for AI & HPC Projects Solidus AI Tech introduces the GPU Marketplace, a powerful platform connecting users with advanced GPU resources. Utilizing a top-tier HPC Data Center in Europe and a global GPU vendor network, this marketplace provides businesses, startups, and developers with affordable, scalable computing options for AI, HPC, gaming, and more. Key Features: Customizable Options: Choose from a range of GPUs, operating systems, and configurations for tailored solutions. User-Friendly Management: A control panel offers real-time analytics and performance insights to streamline resource management. One-Click Deployment: Rapidly deploy high-performance instances with just a click, optimizing for speed and efficiency. Benefits for Developers: Accelerated AI Development: Train and infer AI models faster at competitive rates. Broad Application Support: From VR and blockchain to finance and healthcare, users can unlock new project potential. Affordable & Accessible: Competitive pricing democratizes high-powered GPU access, fostering innovation. Vendor Opportunities: GPU vendors can reach a global audience, manage listings easily, and maximize ROI with the platform's streamlined tools and centralized metrics. Ready to Explore? Join the Solidus AI Tech GPU Marketplace and power your innovations with fast, scalable, and cost-effective computing. Visit AITECH.io to get started. #AITECH #GPUMarketplace #HPC
Solidus @AITECH GPU Marketplace: Unlocking High-Performance Computing Power for AI & HPC Projects

Solidus AI Tech introduces the GPU Marketplace, a powerful platform connecting users with advanced GPU resources. Utilizing a top-tier HPC Data Center in Europe and a global GPU vendor network, this marketplace provides businesses, startups, and developers with affordable, scalable computing options for AI, HPC, gaming, and more.

Key Features:

Customizable Options: Choose from a range of GPUs, operating systems, and configurations for tailored solutions.

User-Friendly Management: A control panel offers real-time analytics and performance insights to streamline resource management.

One-Click Deployment: Rapidly deploy high-performance instances with just a click, optimizing for speed and efficiency.

Benefits for Developers:

Accelerated AI Development: Train and infer AI models faster at competitive rates.

Broad Application Support: From VR and blockchain to finance and healthcare, users can unlock new project potential.

Affordable & Accessible: Competitive pricing democratizes high-powered GPU access, fostering innovation.

Vendor Opportunities:

GPU vendors can reach a global audience, manage listings easily, and maximize ROI with the platform's streamlined tools and centralized metrics.

Ready to Explore?

Join the Solidus AI Tech GPU Marketplace and power your innovations with fast, scalable, and cost-effective computing.

Visit AITECH.io to get started.
#AITECH #GPUMarketplace #HPC
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IREN Moves from Bitcoin Mining to AI: Is This a Billion-Dollar Breakthrough?On March 31, 2025, Australia's leading Bitcoin mining company – IREN – announced a surprising decision: to pause the expansion of Bitcoin mining operations to focus on AI data center and AI cloud services. With plans to achieve 52 EH/s mining capacity in the coming months, IREN is shifting its strategy, promising to create a new wave in the technology industry. Is this the right move to capitalize on the booming AI trend?

IREN Moves from Bitcoin Mining to AI: Is This a Billion-Dollar Breakthrough?

On March 31, 2025, Australia's leading Bitcoin mining company – IREN – announced a surprising decision: to pause the expansion of Bitcoin mining operations to focus on AI data center and AI cloud services. With plans to achieve 52 EH/s mining capacity in the coming months, IREN is shifting its strategy, promising to create a new wave in the technology industry. Is this the right move to capitalize on the booming AI trend?
AI's rapid growth is fueling demand for HPC, but at what cost? Energy-intensive computing raises sustainability concerns. Can we achieve powerful AI while minimizing its environmental footprint? AITECH says yes! 💡🌱 #AI #Sustainability #HPC AI is a game-changer, but its high energy consumption is alarming! ⚡ 🔹 AI data centers consume up to 50x more power than traditional IT systems. 🔹 The carbon footprint of AI training is equivalent to five cars' lifetime emissions! 🚗💨 Did you know? Community-driven initiatives like Social Mining empower sustainable AI development! AITECH + DAO Labs' Solidus Hub Elements = a new model where contributors drive green tech innovation. 🌱
AI's rapid growth is fueling demand for HPC, but at what cost? Energy-intensive computing raises sustainability concerns.

Can we achieve powerful AI while minimizing its environmental footprint? AITECH says yes! 💡🌱
#AI #Sustainability #HPC
AI is a game-changer, but its high energy consumption is alarming! ⚡

🔹 AI data centers consume up to 50x more power than traditional IT systems.
🔹 The carbon footprint of AI training is equivalent to five cars' lifetime emissions! 🚗💨
Did you know? Community-driven initiatives like Social Mining empower sustainable AI development!

AITECH + DAO Labs' Solidus Hub Elements = a new model where contributors drive green tech innovation. 🌱
Cipher Mining raises $50M in a undisclosed funding round Cipher Mining secures $50M in a funding round led by #SoftBank . The funding will support Cipher’s development of its high-performance computing (HPC) data center business, with SoftBank now positioned as a key primary investor in the company. #CipherMining is a company which focused on the construction and operation of large-scale data centers, which are primarily used for Bitcoin mining and other #HPC services, such as supporting #AI workloads.
Cipher Mining raises $50M in a undisclosed funding round

Cipher Mining secures $50M in a funding round led by #SoftBank . The funding will support Cipher’s development of its high-performance computing (HPC) data center business, with SoftBank now positioned as a key primary investor in the company.

#CipherMining is a company which focused on the construction and operation of large-scale data centers, which are primarily used for Bitcoin mining and other #HPC services, such as supporting #AI workloads.
AI Compute vs. Sustainability—A False Tradeoff?The rapid growth of artificial intelligence has fueled an unprecedented demand for high-performance computing (HPC), pushing technological boundaries further than ever. However, this explosion of AI-powered compute comes at a cost: increased energy consumption and rising carbon emissions. Many argue that AI’s progress and environmental sustainability are at odds, but does innovation have to come at the expense of our planet? Rethinking AI's Environmental Footprint AI model training and inference are power-intensive processes, often requiring thousands of GPUs or TPUs running for days or even weeks. According to a study by the University of Massachusetts, training a single large AI model can generate over 626,000 pounds of CO₂, equivalent to the lifetime emissions of five cars. The industry’s reliance on traditional energy sources raises serious concerns about AI’s long-term sustainability. AITECH’s Eco-Friendly HPC Approach AITECH challenges the assumption that high-performance computing must be environmentally destructive. By developing a sustainable HPC Data Center, AITECH is proving that cutting-edge AI and eco-consciousness can coexist. Their approach integrates: ✅ Renewable Energy Integration – Using solar, wind, and hydroelectric power sources to fuel AI computation. ✅ Liquid Cooling Systems – Reducing energy-intensive air cooling methods, which waste vast amounts of electricity. ✅ Distributed Computing – Leveraging decentralized, blockchain-based computing to optimize efficiency while reducing central power demands. Decentralized Computing: A Game Changer for Sustainability Traditional, centralized data centers contribute significantly to global energy consumption. However, blockchain-based decentralized computing offers a compelling alternative. Platforms like DAO Labs’ Social Mining Solidus Hub empower communities to participate in AI’s development while distributing computing workloads more efficiently across global nodes. This method: 🔹 Reduces single-point energy strain by spreading AI processing tasks across multiple systems. 🔹 Incentivizes sustainable contributions by rewarding community engagement through tokenized models. 🔹 Optimizes compute resources by minimizing redundancy and prioritizing energy-efficient tasks. The Path Forward: AI Without the Carbon Cost By embracing green HPC solutions, blockchain decentralization, and community-driven innovation, AI can evolve without overloading the planet’s resources. The key lies in leveraging cutting-edge AI models while prioritizing sustainability at every level of computation. 🚀 Join the conversation on AI and sustainability: 🔗 AITECH's Official Tweet What do you think? Can AI achieve sustainability without slowing down innovation? Let's discuss! @TheDAOLabs @AITECHio #Sustainability #HPC #AITECH #BTC☀ #UkraineRussiaCeasefire $BNSOL

AI Compute vs. Sustainability—A False Tradeoff?

The rapid growth of artificial intelligence has fueled an unprecedented demand for high-performance computing (HPC), pushing technological boundaries further than ever. However, this explosion of AI-powered compute comes at a cost: increased energy consumption and rising carbon emissions. Many argue that AI’s progress and environmental sustainability are at odds, but does innovation have to come at the expense of our planet?

Rethinking AI's Environmental Footprint

AI model training and inference are power-intensive processes, often requiring thousands of GPUs or TPUs running for days or even weeks. According to a study by the University of Massachusetts, training a single large AI model can generate over 626,000 pounds of CO₂, equivalent to the lifetime emissions of five cars. The industry’s reliance on traditional energy sources raises serious concerns about AI’s long-term sustainability.

AITECH’s Eco-Friendly HPC Approach

AITECH challenges the assumption that high-performance computing must be environmentally destructive. By developing a sustainable HPC Data Center, AITECH is proving that cutting-edge AI and eco-consciousness can coexist. Their approach integrates:

✅ Renewable Energy Integration – Using solar, wind, and hydroelectric power sources to fuel AI computation.

✅ Liquid Cooling Systems – Reducing energy-intensive air cooling methods, which waste vast amounts of electricity.

✅ Distributed Computing – Leveraging decentralized, blockchain-based computing to optimize efficiency while reducing central power demands.

Decentralized Computing: A Game Changer for Sustainability

Traditional, centralized data centers contribute significantly to global energy consumption. However, blockchain-based decentralized computing offers a compelling alternative. Platforms like DAO Labs’ Social Mining Solidus Hub empower communities to participate in AI’s development while distributing computing workloads more efficiently across global nodes. This method:

🔹 Reduces single-point energy strain by spreading AI processing tasks across multiple systems.

🔹 Incentivizes sustainable contributions by rewarding community engagement through tokenized models.

🔹 Optimizes compute resources by minimizing redundancy and prioritizing energy-efficient tasks.

The Path Forward: AI Without the Carbon Cost

By embracing green HPC solutions, blockchain decentralization, and community-driven innovation, AI can evolve without overloading the planet’s resources. The key lies in leveraging cutting-edge AI models while prioritizing sustainability at every level of computation.

🚀 Join the conversation on AI and sustainability:

🔗 AITECH's Official Tweet

What do you think? Can AI achieve sustainability without slowing down innovation? Let's discuss!

@TheDAOLabs @AITECHio
#Sustainability #HPC #AITECH

#BTC☀ #UkraineRussiaCeasefire $BNSOL
AI Compute vs. SustainabilityThe rapid advancement of artificial intelligence (AI) has fueled an unprecedented demand for high-performance computing (HPC). However, this growth comes at a cost: traditional AI computing infrastructure consumes enormous amounts of electricity and contributes significantly to carbon emissions. This has sparked a critical debate—must technological progress come at the expense of environmental sustainability? At AITECH, the answer is a resounding no. By leveraging renewable energy, liquid cooling, and decentralized computing, AITECH is proving that AI’s future doesn’t have to compromise the planet. The Environmental Challenge of AI Computing AI models, especially large-scale ones, require substantial computational power. This translates into: 1. High energy consumption: Training a single AI model can consume as much energy as multiple households do in a year. 2. Increased carbon footprint: Traditional data centers rely on fossil-fuel-powered electricity, leading to high greenhouse gas emissions. 3. Inefficient cooling systems: Conventional cooling methods waste significant amounts of power, exacerbating the problem. AITECH’s Green HPC Revolution AITECH has developed a sustainable HPC Data Center that tackles these issues head-on: Renewable Energy Sources: Utilizing solar, wind, and hydro power to reduce dependency on fossil fuels.Liquid Cooling Systems: More energy-efficient than air cooling, liquid cooling significantly cuts down energy waste.Decentralized Computing: By distributing computing tasks across a blockchain-based network, workloads are processed more efficiently, reducing energy demands. The Role of Social Mining & Blockchain in Sustainability AITECH’s commitment to sustainability extends beyond technology—it empowers the community through Social Mining Solidus Hub Elements by DAO Labs. This model incentivizes community participation in shaping a greener AI infrastructure, showcasing how blockchain can drive decentralized, energy-efficient AI computing. Final Thoughts The AI boom doesn’t have to be an environmental burden. With the right innovations, AI and sustainability can go hand in hand. AITECH’s eco-friendly HPC solutions set a precedent for the industry, proving that technological progress and environmental responsibility can coexist. 🚀 How do you think AI can continue evolving without harming the planet? Join the conversation! #AI #HPC

AI Compute vs. Sustainability

The rapid advancement of artificial intelligence (AI) has fueled an unprecedented demand for high-performance computing (HPC). However, this growth comes at a cost: traditional AI computing infrastructure consumes enormous amounts of electricity and contributes significantly to carbon emissions. This has sparked a critical debate—must technological progress come at the expense of environmental sustainability?
At AITECH, the answer is a resounding no. By leveraging renewable energy, liquid cooling, and decentralized computing, AITECH is proving that AI’s future doesn’t have to compromise the planet.

The Environmental Challenge of AI Computing
AI models, especially large-scale ones, require substantial computational power. This translates into:
1. High energy consumption: Training a single AI model can consume as much energy as multiple households do in a year.
2. Increased carbon footprint: Traditional data centers rely on fossil-fuel-powered electricity, leading to high greenhouse gas emissions.
3. Inefficient cooling systems: Conventional cooling methods waste significant amounts of power, exacerbating the problem.

AITECH’s Green HPC Revolution
AITECH has developed a sustainable HPC Data Center that tackles these issues head-on:
Renewable Energy Sources: Utilizing solar, wind, and hydro power to reduce dependency on fossil fuels.Liquid Cooling Systems: More energy-efficient than air cooling, liquid cooling significantly cuts down energy waste.Decentralized Computing: By distributing computing tasks across a blockchain-based network, workloads are processed more efficiently, reducing energy demands.
The Role of Social Mining & Blockchain in Sustainability
AITECH’s commitment to sustainability extends beyond technology—it empowers the community through Social Mining Solidus Hub Elements by DAO Labs. This model incentivizes community participation in shaping a greener AI infrastructure, showcasing how blockchain can drive decentralized, energy-efficient AI computing.
Final Thoughts
The AI boom doesn’t have to be an environmental burden. With the right innovations, AI and sustainability can go hand in hand. AITECH’s eco-friendly HPC solutions set a precedent for the industry, proving that technological progress and environmental responsibility can coexist.

🚀 How do you think AI can continue evolving without harming the planet?
Join the conversation!
#AI #HPC
Solidus @AITECH GPU Marketplace: Unlocking High-Performance Computing Power for AI & HPC Projects Solidus AI Tech introduces the GPU Marketplace, a powerful platform connecting users with advanced GPU resources. Utilizing a top-tier HPC Data Center in Europe and a global GPU vendor network, this marketplace provides businesses, startups, and developers with affordable, scalable computing options for AI, HPC, gaming, and more. Key Features: Customizable Options: Choose from a range of GPUs, operating systems, and configurations for tailored solutions. User-Friendly Management: A control panel offers real-time analytics and performance insights to streamline resource management. One-Click Deployment: Rapidly deploy high-performance instances with just a click, optimizing for speed and efficiency. Benefits for Developers: Accelerated AI Development: Train and infer AI models faster at competitive rates. Broad Application Support: From VR and blockchain to finance and healthcare, users can unlock new project potential. Affordable & Accessible: Competitive pricing democratizes high-powered GPU access, fostering innovation. Vendor Opportunities: GPU vendors can reach a global audience, manage listings easily, and maximize ROI with the platform's streamlined tools and centralized metrics. Ready to Explore? Join the Solidus AI Tech GPU Marketplace and power your innovations with fast, scalable, and cost-effective computing. Visit AITECH.io to get started. #AITECH #GPUMarketplace #HPC
Solidus @AITECH GPU Marketplace: Unlocking High-Performance Computing Power for AI & HPC Projects

Solidus AI Tech introduces the GPU Marketplace, a powerful platform connecting users with advanced GPU resources. Utilizing a top-tier HPC Data Center in Europe and a global GPU vendor network, this marketplace provides businesses, startups, and developers with affordable, scalable computing options for AI, HPC, gaming, and more.

Key Features:

Customizable Options: Choose from a range of GPUs, operating systems, and configurations for tailored solutions.

User-Friendly Management: A control panel offers real-time analytics and performance insights to streamline resource management.

One-Click Deployment: Rapidly deploy high-performance instances with just a click, optimizing for speed and efficiency.

Benefits for Developers:

Accelerated AI Development: Train and infer AI models faster at competitive rates.

Broad Application Support: From VR and blockchain to finance and healthcare, users can unlock new project potential.

Affordable & Accessible: Competitive pricing democratizes high-powered GPU access, fostering innovation.

Vendor Opportunities:

GPU vendors can reach a global audience, manage listings easily, and maximize ROI with the platform's streamlined tools and centralized metrics.

Ready to Explore?

Join the Solidus AI Tech GPU Marketplace and power your innovations with fast, scalable, and cost-effective computing.

Visit AITECH.io to get started.
#AITECH #GPUMarketplace #HPC
Solidus AI Tech’s Q2 Roadmap: Real Progress, Real Utility, Real ImpactI’ve been hands‑on with Solidus @AITECH 's Q2 roadmap — After diving deep into Agent Forge and watching their data-center near full operation, I’m convinced this isn’t just hype. AITech is quietly building the backbone for decentralized AI in Web3. While there’s plenty more on the roadmap to explore, here are the four milestones I’m most hyped about: 1. Agent Forge secret product launch 🚀 You can spin up your first AI agent in minutes with its drag‑and‑drop builder — zero code, zero headache. Get real‑time CoinGecko & CoinMarketCap data feeds, multi‑agent teamwork, and $65 in free credits as a first-time user to experiment and explore. Haven’t tried it yet? Head to agents.aitech.io and launch your own AI sidekick today. ✅ Completed: It’s live and empowering builders right now! 2. Trust Wallet Airdrop Campaign (Live!) 🎁 10,000 winners, $100K in rewards, and under two minutes to enter. Partnering with @TrustWallet means massive reach—and that’s exactly how Solidus is onboarding thousands of new $AITECH fans. Don’t sleep on this—join before April 16 at trustwallet.aitech.io. ✅ Ongoing: You still have time to get in! 3. Data Center nearing full operation 🏭 Their eco‑friendly #HPC facility is almost fully online. Once it’s firing on all cylinders, it’ll power Agent Forge, the upcoming Compute Marketplace, and every AI service Solidus rolls out. This is the real infrastructure muscle that separates them from the pack. ✅ Nearly complete: Full operations are just around the corner! 4. Token burns underway 🔥 They’ve already started burning tokens, and more burns are scheduled as usage ramps up. Every new feature—Agent Forge, AITECH.io upgrades, the Compute Marketplace—drives demand, while burns tighten supply and reward long‑term holders. ✅ In progress: Supply is shrinking as the ecosystem grows. 🔍 And don’t miss these upcoming game‑changers: • Compute Marketplace live – Buy/sell AI compute peer‑to‑peer • AITECHPad IDOs – Launch the next wave of AI/Web3 projects on Solidus • Strategic partnerships – Enterprise integrations & cross‑chain use cases • Side event at Token2049 – Showcasing Solidus’s vision on the world stage 🔍 Dive into the infographic below to explore every Q2 milestone, highlight the ones you’re most excited about, and get a front‑row seat to how Solidus #AITECH is turning vision into reality. When you connect the dots—plug‑and‑play #AIAgents , decentralized compute, and a token economy engineered for real utility—you see the future of #AI in #Web3 . AI becomes accessible without complex setups, Web3 gains powerful new tools beyond finance, and $AITECH’s value ties directly to real infrastructure and adoption. Ready to ride the decentralized AI wave? This is your roadmap. Follow @AITECHio on X | Dive deeper at aitech.io

Solidus AI Tech’s Q2 Roadmap: Real Progress, Real Utility, Real Impact

I’ve been hands‑on with Solidus @AITECH 's Q2 roadmap — After diving deep into Agent Forge and watching their data-center near full operation, I’m convinced this isn’t just hype. AITech is quietly building the backbone for decentralized AI in Web3. While there’s plenty more on the roadmap to explore, here are the four milestones I’m most hyped about:

1. Agent Forge secret product launch 🚀
You can spin up your first AI agent in minutes with its drag‑and‑drop builder — zero code, zero headache. Get real‑time CoinGecko & CoinMarketCap data feeds, multi‑agent teamwork, and $65 in free credits as a first-time user to experiment and explore. Haven’t tried it yet? Head to agents.aitech.io and launch your own AI sidekick today.
✅ Completed: It’s live and empowering builders right now!

2. Trust Wallet Airdrop Campaign (Live!) 🎁

10,000 winners, $100K in rewards, and under two minutes to enter. Partnering with @TrustWallet means massive reach—and that’s exactly how Solidus is onboarding thousands of new $AITECH fans. Don’t sleep on this—join before April 16 at trustwallet.aitech.io.

✅ Ongoing: You still have time to get in!

3. Data Center nearing full operation 🏭

Their eco‑friendly #HPC facility is almost fully online. Once it’s firing on all cylinders, it’ll power Agent Forge, the upcoming Compute Marketplace, and every AI service Solidus rolls out. This is the real infrastructure muscle that separates them from the pack.
✅ Nearly complete: Full operations are just around the corner!

4. Token burns underway 🔥

They’ve already started burning tokens, and more burns are scheduled as usage ramps up. Every new feature—Agent Forge, AITECH.io upgrades, the Compute Marketplace—drives demand, while burns tighten supply and reward long‑term holders.

✅ In progress: Supply is shrinking as the ecosystem grows.

🔍 And don’t miss these upcoming game‑changers:

• Compute Marketplace live – Buy/sell AI compute peer‑to‑peer

• AITECHPad IDOs – Launch the next wave of AI/Web3 projects on Solidus

• Strategic partnerships – Enterprise integrations & cross‑chain use cases

• Side event at Token2049 – Showcasing Solidus’s vision on the world stage

🔍 Dive into the infographic below to explore every Q2 milestone, highlight the ones you’re most excited about, and get a front‑row seat to how Solidus #AITECH is turning vision into reality.

When you connect the dots—plug‑and‑play #AIAgents , decentralized compute, and a token economy engineered for real utility—you see the future of #AI in #Web3 . AI becomes accessible without complex setups, Web3 gains powerful new tools beyond finance, and $AITECH’s value ties directly to real infrastructure and adoption. Ready to ride the decentralized AI wave? This is your roadmap.
Follow @AITECHio on X | Dive deeper at aitech.io
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