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

Want a glimpse of the exponential potential of networks... and their power to transform the world? Come to our stand at #MWC23 to see the next big evolution of Nokia.show more

People don’t realize that they need as many data... centers as possible to store data and train AI to perfection. Once they are finished and achieve true AGI, they won’t need that much space. They will run their AI and robots in their local underground doomsday bunkers with limited power and data centers, but with enough capacity for them to serve as their workers.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

What if a network could deliver AI results closer... to where data is created, instead of sending it to far‑off data centers? In collaboration with NVIDIA and Decart, we’re making that a reality by bringing GPU‑powered computing to the network edge — closer to homes and businesses — so AI applications respond in real-time. This is how we're laying the foundation for the next generation of AI‑driven services:show more

The Power of Decentralized Data 💪 Data is the... new oil, 🛢️ but it's also a valuable asset that needs to be protected. 🛡️ Traditional centralized data storage and processing methods are vulnerable to security breaches and data leaks. 🚨 Inflectiv's decentralized approach offers a more secure and efficient way to manage data. 🔐 By distributing data across the network, we reduce the risk of data loss and ensure that it remains under the control of its rightful owners. 🤝 Experience the power of decentralized data with Inflectiv. 🚀 #Inflectiv #DecentralizedData #DataSecurity #Blockchainshow more

Are you curious to know how networks can positively... transform our natural world? If so, you’ll want to check out the first article in our new Exponential Era series with Bloomberg! Harness the exponential potential of networks, read more here:show more

You don’t need a data center to support private... AI. ⬟ Private inference doesn’t live in one place. It runs across the network. If your device is online, it can contribute to privacy-preserving execution. Run a node on the Nesa network.show more

Join #TeamNokia at #MWC23 to discover how networks have... the exponential potential to transform business and society.show more

📢 AITECH Data Center is Now Live! Solidus Ai... Tech’s HPC Data Center is now live — the first ever built by a Web3 company, setting a new benchmark for decentralized AI infrastructure. 8000 sqft | 20MW capacity | 624 TFLOPS compute | RADOX cooling | <1ms latency | ISO 27001 compliant Next up is the launch of the Compute Marketplace, unlocking access to our available compute — all powered by the $AITECH token. A massive leap forward. 🔗 Learn more:show more

SpaceX's D3 chip unlocks orbital data centers that shatter... Earth's AI energy limits Sun-synchronous orbits deliver 5-13x more solar energy per area than ground panels while deep space vacuum cooling eliminates water use, targeting one terawatt of capacity impossible on terrestrial grids.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

Our collaboration with NVIDIA is a revolutionary step towards... transforming radio networks with #AI. Together we will create high-performance #CloudRAN solutions with NVIDIA CPUs for L2 processing and Nokia's In-Line acceleration for L1. Read more:show more

Water usage has been a hot topic in the... AI data center world, but the numbers may surprise you. According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling. By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero. Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets. Learn more below ⬇️show more

AI doesn’t scale without energy. Data centers don’t grow... without energy. Advanced manufacturing doesn’t happen without energy. The next era of growth will be defined by who builds enough capacity to power it. And who can keep the lights on when conditions get tested. - Jamie Gualy, COO at T1 Energyshow more