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In an era where centralised digital infrastructure has proven increasingly vulnerable to regional and global disruptions, FAR AI introduces a new approach to AI sovereignty. The initiative bypasses traditional data center risks by activating the world’s largest untapped resource: over 500 million idle GPUs. By allowing individuals and organisations...

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FAR Labs

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185,726 просмотров • 5 месяцев назад •via X (Twitter)

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MARA expands its AI infrastructure pipeline by entering into an agreement to acquire Long Ridge Energy & Power, which owns, among other assets, a highly efficient 505 MW nameplate CCGT power plant and over 1,600 contiguous acres in one of the world’s largest AI and data center infrastructure markets. Read the full release:
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MARA expands its AI infrastructure pipeline by entering into an agreement to acquire Long Ridge Energy & Power, which owns, among other assets, a highly efficient 505 MW nameplate CCGT power plant and over 1,600 contiguous acres in one of the world’s largest AI and data center infrastructure markets. Read the full release:

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AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.
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AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.

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15,783 просмотров • 2 месяцев назад

“It’s about $1 million a megawatt all-in, between infrastructure and compute, to build a Bitcoin mining site. The AI site, just the infrastructure without compute, is $10 to $15 million a megawatt.” $MARA CEO Fred Thiel points out the math of Bitcoin miners pivoting to AI: An AI data center costs 10-15x more per megawatt to build than a Bitcoin mine but it earns far more per unit of power. And because the tenants are companies like Google, banks will actually finance it. The pricier build is the easier one to fund. Don’t miss the full interview streaming now.
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“It’s about $1 million a megawatt all-in, between infrastructure and compute, to build a Bitcoin mining site. The AI site, just the infrastructure without compute, is $10 to $15 million a megawatt.” $MARA CEO Fred Thiel points out the math of Bitcoin miners pivoting to AI: An AI data center costs 10-15x more per megawatt to build than a Bitcoin mine but it earns far more per unit of power. And because the tenants are companies like Google, banks will actually finance it. The pricier build is the easier one to fund. Don’t miss the full interview streaming now.

Natalie Brunell ⚡️

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The $HASHAI Ecosystem Over the past 15 months, Hash AI has built a robust and sustainable ecosystem that delivers real value to both individual users and businesses, all while operating under a fully self-sustaining 0/0% tax business model. ⚡️Crypto Mining Infrastructure 1,000+ ASIC Miners Efficient, high-performance machines dedicated to large-scale crypto mining. 100+ AI-Optimised GPU Rigs Enhanced by our AI algorithm for maximum efficiency and performance. 🌐 Node Rental & Lending Our high-performance nodes serve both B2B and B2C clients, providing scalable and reliable compute power for blockchain and AI workloads. Users can also lend their own nodes to the Hash AI ecosystem, contributing to network capacity while earning rewards. 🏢 Global Facilities Hash AI’s global infrastructure is designed for maximum uptime, security, and energy optimisation. These facilities ensure efficient operation and profitability across all mining activities. 💰Community Share Pool Designed to deliver consistent and reliable passive income, the Community Share Pool has already distributed nearly $1.5 million in mining profits to $HASHAI token holders. ⚙️ Coming Soon: Fractionalized ASIC Ownership Purpose-built facility in the UAE Located to provide the lowest operational costs and highest yields. Fractionalised ASIC Ownership Own a portion of physical crypto mining machines. Fully hosted and maintained by Hash AI. Earn Passive Mining Rewards Receive mining rewards without the hassle of managing hardware. RWA Marketplace Trade tokenised real-world assets using $HASHAI and other currencies.
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Hash AI

21,489 просмотров • 1 год назад

Hyra AI Reborn. Stronger. Faster. Decentralized. 🔥 Reimagined. A new direction. A new era of decentralized intelligence. From privacy-first edge compute → to a global AI mesh owned by the people. From inference on your device → to digital sovereignty at scale. ✨ Every device is now a node. ✨ Every user is a Hyrasapien. ✨ Every action builds the future of AI. We’re not just rebranding ~ we’re reshaping the narrative of AI. Together, let’s build an AI infrastructure that’s secure, verifiable, and community-owned. 🔑 Your Device. Your Power. Your Sovereignty. 🌐 Explore the new era:
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Hyra AI

96,619 просмотров • 11 месяцев назад

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LayerAI | AI2Earn

27,136 просмотров • 2 лет назад

CARV envisions a new form of evolution for Artificial General Intelligence (AGI): one driven by the aggregation, sharing, and refinement of high-quality on-chain and off-chain data. To do that, CARV is building an AI chain ecosystem to enable data sovereignty at scale: • CARV SVM Chain, an AI agentic infrastructure that extends SVM's capabilities onto Ethereum. • D.A.T.A. Framework, powered by CARV ID, delivers high-quality on-chain and off-chain data, enriched with tags and metrics, enabling AI agents to learn, share, and evolve dynamically. • CARV Labs accelerates ecosystem growth in and beyond CARV’s ecosystem, spearheading innovation in the AI agentic infrastructure enabling data sovereignty with incubation, grants, and infrastructure. You build?
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CARV

274,692 просмотров • 1 год назад

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1,866,164 просмотров • 1 год назад

🇦🇲 Armenia launches one of the world’s most advanced AI data centers Armenia has officially joined the ranks of countries with their own artificial intelligence infrastructure. #EleveightAI has announced the launch of the #SouthCaucasus’ first AI Factory in the town of Gagarin, powered by #NVIDIA Blackwell B300 chips — one of the world’s most advanced architectures for generative AI. The project is now valued at up to $120 million for the first phase, significantly above the previously reported $70 million. The facility is designed to scale up to 35 MW of computing capacity and is considered supercomputing-class infrastructure. According to the company, Armenia has the potential to become a new global hub for #AI computing — an alternative location to the United States and Western #Europe. Among the advantages cited are lower energy costs, the availability of technical talent, and the region’s growing international connectivity. Eleveight AI CEO Arman Aleksanyan stated that the goal of the project is to transform Armenia from a consumer of AI into a country where AI is developed, trained, and deployed. The company is also considering future expansion into #CentralAsia'n and European markets. Twenty percent of the center’s computing capacity will be provided free of charge to Armenian universities, research institutions, and non-profit organizations. The project is already being described as part of a broader strategy to turn #Armenia into a regional technology and AI hub. As part of that strategy, another AI data center — developed by FireBird — is expected to launch in #Hrazdan, with planned investments of $500 million in the first phase and $4 billion in the second. NVIDIA Blackwell B300 chips are considered among the most advanced AI processors in the world and are designed for generative AI, supercomputing, and high-performance computing workloads. Access to such technology is subject to #US export-control regulations and is granted under strict licensing and compliance requirements. #IT #technology #MiddleEast #EU
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🇦🇲 Armenia launches one of the world’s most advanced AI data centers Armenia has officially joined the ranks of countries with their own artificial intelligence infrastructure. #EleveightAI has announced the launch of the #SouthCaucasus’ first AI Factory in the town of Gagarin, powered by #NVIDIA Blackwell B300 chips — one of the world’s most advanced architectures for generative AI. The project is now valued at up to $120 million for the first phase, significantly above the previously reported $70 million. The facility is designed to scale up to 35 MW of computing capacity and is considered supercomputing-class infrastructure. According to the company, Armenia has the potential to become a new global hub for #AI computing — an alternative location to the United States and Western #Europe. Among the advantages cited are lower energy costs, the availability of technical talent, and the region’s growing international connectivity. Eleveight AI CEO Arman Aleksanyan stated that the goal of the project is to transform Armenia from a consumer of AI into a country where AI is developed, trained, and deployed. The company is also considering future expansion into #CentralAsia'n and European markets. Twenty percent of the center’s computing capacity will be provided free of charge to Armenian universities, research institutions, and non-profit organizations. The project is already being described as part of a broader strategy to turn #Armenia into a regional technology and AI hub. As part of that strategy, another AI data center — developed by FireBird — is expected to launch in #Hrazdan, with planned investments of $500 million in the first phase and $4 billion in the second. NVIDIA Blackwell B300 chips are considered among the most advanced AI processors in the world and are designed for generative AI, supercomputing, and high-performance computing workloads. Access to such technology is subject to #US export-control regulations and is granted under strict licensing and compliance requirements. #IT #technology #MiddleEast #EU

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63,899 просмотров • 3 месяцев назад

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.
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Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.

Big Brain AI

90,276 просмотров • 6 месяцев назад

World’s 1st human-trained AI agent from visual data. iAgent leverages decentralized GPU infrastructure to turn gaming skills into valuable digital assets, enabling scalable AI training. Your Skill. Your Asset. Your iAgent. Own and monetize AI-powered agents, building your digital empire. Web3 and AI combined – the future of gaming and beyond. AI agents are set to scale globally across industries, and iAgent is leading the way in AI and gaming. Led by Jamie* GodJira_gangz, a Web3 veteran with a proven track record and backed by top investors like Dingaling among others. And strategic partners include Gaimin, AethirCloud, Team Secret, and Node City. We're excited to offer the 42 community early access to one of the top AI projects in the space. Register now:
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World’s 1st human-trained AI agent from visual data. iAgent leverages decentralized GPU infrastructure to turn gaming skills into valuable digital assets, enabling scalable AI training. Your Skill. Your Asset. Your iAgent. Own and monetize AI-powered agents, building your digital empire. Web3 and AI combined – the future of gaming and beyond. AI agents are set to scale globally across industries, and iAgent is leading the way in AI and gaming. Led by Jamie* GodJira_gangz, a Web3 veteran with a proven track record and backed by top investors like Dingaling among others. And strategic partners include Gaimin, AethirCloud, Team Secret, and Node City. We're excited to offer the 42 community early access to one of the top AI projects in the space. Register now:

Q42

20,262 просмотров • 1 год назад

Shaun Maguire on SpaceX IPO: "Starship is the railroad to space." "In 2019, it was very predictable that Starlink would work and produce a massive amount of revenue, and we called that right." "We're now in a very similar point to where Starlink was in 2019 with AI infrastructure and orbital compute." "I think people are really underestimating how far along the orbital compute product is right now." On the $22 trillion TAM: "What do you think is the TAM for intelligence? What's the TAM for all compute infrastructure 50 years from now?" "People are underappreciating how much infrastructure is going to be built in space and how much easier it is to access energy in space." "We're at the beginning of this AI era, and we're going to double or triple the total amount of intelligence that we have access to over the next decade — so yes, I absolutely believe in the TAM, and I would even argue it's an underestimate." How much is the "railroad to space" worth in the era of AI and orbital compute? Now imagine the railroad company also owns the AI and the orbital compute. Elon Musk Shaun Maguire
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Shaun Maguire on SpaceX IPO: "Starship is the railroad to space." "In 2019, it was very predictable that Starlink would work and produce a massive amount of revenue, and we called that right." "We're now in a very similar point to where Starlink was in 2019 with AI infrastructure and orbital compute." "I think people are really underestimating how far along the orbital compute product is right now." On the $22 trillion TAM: "What do you think is the TAM for intelligence? What's the TAM for all compute infrastructure 50 years from now?" "People are underappreciating how much infrastructure is going to be built in space and how much easier it is to access energy in space." "We're at the beginning of this AI era, and we're going to double or triple the total amount of intelligence that we have access to over the next decade — so yes, I absolutely believe in the TAM, and I would even argue it's an underestimate." How much is the "railroad to space" worth in the era of AI and orbital compute? Now imagine the railroad company also owns the AI and the orbital compute. Elon Musk Shaun Maguire

KanekoaTheGreat

39,709 просмотров • 2 месяцев назад

🚨 Hasan Piker’s Producer Cheers China’s AI Rise and Patriotic Robots While Fearing America’s Tech Will Be Used Against Him This is Eric Hovagim, a producer and researcher for Hasan Piker, reporting from China that America is “getting lapped” technologically. Hovagim praises China’s state-directed approach to technological development and argues that people there view AI as a tool of “liberation.” He then excitedly describes Beijing building an international AI coalition spanning much of the Global South, including BRICS, the African Union, the Arab League, CARICOM, and the Shanghai Cooperation Organization. This clip is a good example of why Americans should bring more nuance to debates over AI and data-center development. Legitimate concerns deserve serious debate, but reflexive opposition also carries costs, especially while China is treating AI infrastructure as a source of national strength and global influence. In China, AI and the infrastructure needed to power it are presented as engines of national progress, liberation, and Global South power. Here in the United States, AI is increasingly portrayed as inherently sinister, its companies are targeted by far-left activists, and opposition to data-center development has become one of the left’s most popular organizing causes. The contrast should be obvious. China is building with the intention of leading the future, while much of the American left is organizing against the infrastructure the United States will need to compete.
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🚨 Hasan Piker’s Producer Cheers China’s AI Rise and Patriotic Robots While Fearing America’s Tech Will Be Used Against Him This is Eric Hovagim, a producer and researcher for Hasan Piker, reporting from China that America is “getting lapped” technologically. Hovagim praises China’s state-directed approach to technological development and argues that people there view AI as a tool of “liberation.” He then excitedly describes Beijing building an international AI coalition spanning much of the Global South, including BRICS, the African Union, the Arab League, CARICOM, and the Shanghai Cooperation Organization. This clip is a good example of why Americans should bring more nuance to debates over AI and data-center development. Legitimate concerns deserve serious debate, but reflexive opposition also carries costs, especially while China is treating AI infrastructure as a source of national strength and global influence. In China, AI and the infrastructure needed to power it are presented as engines of national progress, liberation, and Global South power. Here in the United States, AI is increasingly portrayed as inherently sinister, its companies are targeted by far-left activists, and opposition to data-center development has become one of the left’s most popular organizing causes. The contrast should be obvious. China is building with the intention of leading the future, while much of the American left is organizing against the infrastructure the United States will need to compete.

Stu Smith

87,378 просмотров • 1 месяц назад

Had a great talk with Anjney Midha about why he left a16z to start AMP PBC (raised $1.3B), his early bet on Anthropic, the importance of Japan in AI, his class at Stanford and a lot more. I didn't make him cry like Harry Stebbings, but I think it was a fun conversation about the future of AI Infra. Enjoy! 00:00 Introduction to AMP and AI Infrastructure 03:07 Transition from A16Z to AMP 06:01 Understanding AMP's Role in AI Compute 08:57 The Concept of a Compute Grid 11:59 The Need for Standardization in AI Infrastructure 14:59 Education and Collaboration in AI Development 17:59 Global Perspectives on AI Infrastructure 21:03 Japan's Role in AI and Robotics 23:14 Cultural Connections: Japan and Germany 25:08 The Journey to Teaching at Stanford 26:04 Security in Infrastructure: Lessons Learned 27:50 Cybersecurity and AI: A New Frontier 29:27 The Importance of Redundancy in Cybersecurity 30:39 Investing in AI: The Anthropic Experience 32:54 Wealth Creation and Public Participation 34:06 Infrastructure Bottlenecks in AI Development 36:57 Global Perspectives on Data Centers 39:11 The Need for Education on AI Benefits 42:07 Learning from China: A Systems Approach 45:47 Conclusion: Coordinating the Western Frontier
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Had a great talk with Anjney Midha about why he left a16z to start AMP PBC (raised $1.3B), his early bet on Anthropic, the importance of Japan in AI, his class at Stanford and a lot more. I didn't make him cry like Harry Stebbings, but I think it was a fun conversation about the future of AI Infra. Enjoy! 00:00 Introduction to AMP and AI Infrastructure 03:07 Transition from A16Z to AMP 06:01 Understanding AMP's Role in AI Compute 08:57 The Concept of a Compute Grid 11:59 The Need for Standardization in AI Infrastructure 14:59 Education and Collaboration in AI Development 17:59 Global Perspectives on AI Infrastructure 21:03 Japan's Role in AI and Robotics 23:14 Cultural Connections: Japan and Germany 25:08 The Journey to Teaching at Stanford 26:04 Security in Infrastructure: Lessons Learned 27:50 Cybersecurity and AI: A New Frontier 29:27 The Importance of Redundancy in Cybersecurity 30:39 Investing in AI: The Anthropic Experience 32:54 Wealth Creation and Public Participation 34:06 Infrastructure Bottlenecks in AI Development 36:57 Global Perspectives on Data Centers 39:11 The Need for Education on AI Benefits 42:07 Learning from China: A Systems Approach 45:47 Conclusion: Coordinating the Western Frontier

Nathan Lands

28,858 просмотров • 4 месяцев назад

VIDEO | India AI Summit 2026: AAP MP Raghav Chadha says, "In the 21st century, the levers of power will essentially be controlled by those who have access to AI, GPUs, compute capability and data centres. That was the key element of my argument, how India needs to build its own compute capability. Today, we are in an AI ecosystem where there is, in some sense, a monopoly. Design is controlled by one company based in the US, while nearly 90 per cent of chip manufacturing and fabrication is controlled by a company based in Taiwan. Then there are export controls, where certain countries, particularly the US, have defined these chips, GPUs and the entire AI architecture as strategic assets and imposed controls on their export." #PTIAtAIImpactSummit #IndiaAIImpactSummit2026 #AIImpactSummit2026 (Full video available on
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VIDEO | India AI Summit 2026: AAP MP Raghav Chadha says, "In the 21st century, the levers of power will essentially be controlled by those who have access to AI, GPUs, compute capability and data centres. That was the key element of my argument, how India needs to build its own compute capability. Today, we are in an AI ecosystem where there is, in some sense, a monopoly. Design is controlled by one company based in the US, while nearly 90 per cent of chip manufacturing and fabrication is controlled by a company based in Taiwan. Then there are export controls, where certain countries, particularly the US, have defined these chips, GPUs and the entire AI architecture as strategic assets and imposed controls on their export." #PTIAtAIImpactSummit #IndiaAIImpactSummit2026 #AIImpactSummit2026 (Full video available on

Press Trust of India

47,600 просмотров • 6 месяцев назад

📣 Partnership Announcement: Solidus AI Tech and SambaNova Systems ✨ We are excited to announce a strategic partnership with SambaNova, a distinguished Silicon Valley unicorn valued at $5 billion and recognized for developing the world's fastest AI-specialized chips. This collaboration will significantly enhance our AI Marketplace by providing unparalleled AI inferencing and training capabilities, solidifying our position as a leader in industry innovation. SambaNova’s advanced technology will bring several key benefits to our HPC Data Center: 🔹 Powering a significant portion of our infrastructure with their cutting-edge RDUs. 🔹 Achieving up to 80% energy savings compared to traditional systems. 🔹 Supporting AI models with up to 5 trillion parameters per SambaNova Node. 🔹 Setting a new benchmark for AI infrastructure performance.
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📣 Partnership Announcement: Solidus AI Tech and SambaNova Systems ✨ We are excited to announce a strategic partnership with SambaNova, a distinguished Silicon Valley unicorn valued at $5 billion and recognized for developing the world's fastest AI-specialized chips. This collaboration will significantly enhance our AI Marketplace by providing unparalleled AI inferencing and training capabilities, solidifying our position as a leader in industry innovation. SambaNova’s advanced technology will bring several key benefits to our HPC Data Center: 🔹 Powering a significant portion of our infrastructure with their cutting-edge RDUs. 🔹 Achieving up to 80% energy savings compared to traditional systems. 🔹 Supporting AI models with up to 5 trillion parameters per SambaNova Node. 🔹 Setting a new benchmark for AI infrastructure performance.

AITECH CLOUD NETWORK

124,303 просмотров • 1 год назад

AI IS ABOUT TO RESET THE WORLD’S INDUSTRIES 🤯 NVIDIA CEO Jensen Huang says we’re entering the largest industrial buildout in human history driven by AI. Entire sectors are being rebuilt around AI infrastructure: 🤖 AI factories and chip plants 🤖 Robotics across $50T manufacturing 🤖 AI-powered telecom networks 🤖 Agentic retail and customer service 🤖 Real-time AI in media, gaming, and live video 🤖 Quantum + GPU hybrid systems Even telecom towers -- the backbone of the internet -- could soon become AI compute platforms at the edge. The message from NVIDIA’s GTC stage was clear: The next wave of AI isn’t just software -- it’s a global infrastructure buildout.
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AI IS ABOUT TO RESET THE WORLD’S INDUSTRIES 🤯 NVIDIA CEO Jensen Huang says we’re entering the largest industrial buildout in human history driven by AI. Entire sectors are being rebuilt around AI infrastructure: 🤖 AI factories and chip plants 🤖 Robotics across $50T manufacturing 🤖 AI-powered telecom networks 🤖 Agentic retail and customer service 🤖 Real-time AI in media, gaming, and live video 🤖 Quantum + GPU hybrid systems Even telecom towers -- the backbone of the internet -- could soon become AI compute platforms at the edge. The message from NVIDIA’s GTC stage was clear: The next wave of AI isn’t just software -- it’s a global infrastructure buildout.

CryptosRus

28,976 просмотров • 5 месяцев назад

The Federal Government has launched the Smart National Transport Data Bank, a major digital infrastructure initiative aimed at integrating real-time transport data across road, rail, air, maritime, and pipeline operations to strengthen national planning, improve logistics, enhance safety, and boost security nationwide. Approved by the Federal Executive Council in May, the initiative is expected to transform Nigeria’s transport governance through intelligent mobility systems, improved traffic management, stronger digital infrastructure, and reduced revenue leakages, while building a more efficient and technology-driven transportation ecosystem.
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The Federal Government has launched the Smart National Transport Data Bank, a major digital infrastructure initiative aimed at integrating real-time transport data across road, rail, air, maritime, and pipeline operations to strengthen national planning, improve logistics, enhance safety, and boost security nationwide. Approved by the Federal Executive Council in May, the initiative is expected to transform Nigeria’s transport governance through intelligent mobility systems, improved traffic management, stronger digital infrastructure, and reduced revenue leakages, while building a more efficient and technology-driven transportation ecosystem.

Daddy D.O🇳🇬

15,293 просмотров • 2 месяцев назад