AI doesn’t just need more GPUs. It needs better... routing. OpenGPU connects AI workloads to underused data centers around the world. $OGPUshow more

We need to build more data centers. AI needs it.

A Legendary Partnership is Born $OGPU x $NFNT NFINITY... is the first AI project to build AI agents on the OpenGPU Network infrastructure. This isn’t just progress—it’s a leap forward for decentralized AI. One step closer to decentralizing power. More to come.show more

we need more AI data centers for this.

I wrote one article. Someone built a data center.... No GPUs. Just $599 boxes. Jensen Huang is having a bad year. The new AI data center doesn’t need NVIDIA. It needs a Costco membership and a good Wi-Fi router.show more

pov you just raised 500 billion dollars for ai... data centersshow more

Most people think AI data centers are giant buildings... in the desert. One guy installed four mini Nvidia AI data centers right behind his work desk and now they pay him every month. Each unit is about the size of a small fridge. Inside: Nvidia GPUs running AI workloads 24/7. He hooked them up next to his AC system and that was basically it. Now the company pays him a flat monthly fee for the electricity and Wi-Fi they use. According to him, it brings in around $10,000/month straight into his account. The crazy part: the units also cool part of the house, cutting his AC bill by roughly $600. That’s more than $120,000 a year from four AI boxes sitting inside his home office. His mortgage is basically being paid by AI hardware behind his chair. Quietly, regular homes are starting to become AI infrastructure. Save this post. You’re watching the next gold rush move into people’s homes.show more

China just took AI infrastructure underwater. The country has... reportedly launched a wind-powered underwater data center near Shanghai, designed to cool AI servers using seawater instead of traditional cooling systems 🌊🤖 Around 2,000 servers are said to be sealed inside submarine-grade modules, helping reduce land use, water consumption, and cooling energy. The project is powered by offshore wind and built for AI workloads, big data, and large-scale computing. Why it matters? AI is creating massive demand for electricity, cooling, and infrastructure. If underwater data centers prove reliable, they could become a new way to scale AI while using less energy. But the challenge is huge: corrosion, maintenance, sea conditions, and long-term reliability still need to be proven.show more

70% That's the share of data center capacity expected... to support AI by 2030. Data centers need power, cooling, and space, but most of all a network - networks make AI possible. Nokia builds that network. Find out more → #Nokia #DataCenter #AIInfrastructure #CloudNetworksshow more

AI is transforming everything and it demands blazing-fast, high-capacity... storage to keep up. Supermicro, powered by AMD EPYC™ processors, delivers the performance and efficiency your AI workloads need to thrive. Watch our AI Webinar Highlights to Learn More!show more

Our newest AI accelerator Maia 200 is now online... in Azure. Designed for industry-leading inference efficiency, it delivers 30% better performance per dollar than current systems. And with 10+ PFLOPS FP4 throughput, ~5 PFLOPS FP8, and 216GB HBM3e with 7TB/s of memory bandwidth it's optimized for large-scale AI workloads. It joins our broader portfolio of CPUs, GPUs, and custom accelerators, giving customers more options to run advanced AI workloads faster and more cost-effectively on Azure.show more

#Developers, looking to scale your business? ✨ #DigitalOcean’s got... the tools you need—powerful GPUs + expert guides to level up your #AI & #MachineLearning. 🚀☁️ Join us at Deploy in Austin, TX to learn how to run AI/ML workloads & scale effortlessly with DigitalOcean. 🔗show more

Nebulai 🤝 RAX Finance We’re partnering with RAX Finance... to accelerate decentralized AI. Turning real AI compute into on-chain, yield-bearing assets. ⚡️ Together, we enable: 🔹 Tokenized, verifiable access to GPUs & data centers 🔹 On-chain exposure to institutional-grade AI hardware 🔹 An open, efficient foundation for the AI economy Building the backbone of AI, on-chain. 🚀show more

More than ever, AI needs needs trusted data. The... D.A.T.A Framework fuels AI agents with secure, real-time insights across chains. It turns raw data into smart, autonomous action. This is how AI grows with privacy and power combined. Read our docs:show more

What is the point of this tech? Revenge porn?... Scam? Just AI SLOP? And billions in data centers to support this?show more

Modernizing data centers takes more than power. It takes... partnership. Lenovo and AMD are pushing enterprise performance forward with trusted compute built for AI, hybrid cloud, and demanding workloads, giving customers the scale and speed the digital economy requires to drive business transformation. See how the most trusted companies trust AMD: #TogetherWeAdvanceshow more

$oGPU | OpenGPU Network Found something interesting just now.... A fresh wallet funded by Binance with nearly 100E started to accumulate only $oGPU since this morning. Team teasing with a T1 CEX listing. Probably nothing. Keep fading. $oGPU is one of the strongest AI projects right now. The chart is looking really good. Next weeks will be exciting. Keep in mind what I shared now. Team is cooking really hard. 500M is coming soon. ✍️show more

AI needs data to grow. But accessing high-quality datasets... is becoming harder than ever. · Data collection is increasingly centralized in the hands of a few large players. · Platforms are locking content behind expensive APIs and private data deals. · Specialized datasets (medical, legal, code) can cost 20–40× more than general web data. · And while 94% of companies are exploring Gen-AI, only 12% have reliable data channels. The result? A growing data bottleneck for AI development. The future of AI won’t just depend on better models. It will depend on who can access and activate quality data.show more

ELON MUSK: The future of AI data centers is... space and sooner than you’d think. Mark my words… in 36 months the most economically compelling place to put AI will be space. JENSEN HUANG: The amount of energy that we need for computing is probably 1,000x more than we currently have. JEFF BEZOS: The idea of data centers in space is very realistic. Data centers in space will happen. SAM ALTMAN: No. —— Sam Altman is getting too comfortable after taking OpenAI from Elon, forgetting that in the end, the ones who control the infrastructure, data centers and energy, will decide the future of AI.show more

All AI data centers on January 1, 2027

We need to build more data centers to cure... cancer, right?show more