.Starcloud is bringing AI compute to orbit—cutting energy costs... and enabling real-time insights from space.show more

NVIDIA is advancing graphics and simulation with agentic and... physical AI at #SIGGRAPH2026. From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation, and robotics. Read the latest announcements. 👇show more

NVIDIA's full-stack AI is enabling autonomous operations for the... world's leading brands and platforms. Key capabilities driving this shift: 📈 Causal marketing analytics at enterprise scale 🤖 Secure, trustworthy agentic workflows ⚡Real-time, hyper-efficient auction bidding 🎬 Frame-level contextual video intelligenceshow more

🚨 BREAKING: Starcloud just turned Starlink’s laser network into... the backbone for orbital AI data centers. A company called Starcloud has ordered 50+ Starlink Mini Laser terminals to equip 25+ future satellites. Not ground stations. Not fiber cables. Direct laser-linked computing nodes in orbit plugged straight into SpaceX’s space-based optical mesh. This is the sci-fi future arriving now: Orbital cloud computing AI servers floating in space Powered by 24/7 sunlight Connected globally at light speed via Starlink lasers The insane part: Starcloud says its satellites will eventually handle full AI inference and training workloads directly in orbit. Data won’t always need to come back to Earth to be processed. The advantages are massive: • Unlimited solar energy (no grid limits) • Zero land or water constraints • Passive radiative cooling in vacuum • Instant global relay with zero terrestrial bottlenecks • Near real-time Earth observation analysis Their first major spacecraft (Starcloud-3) is designed for 200 kilowatts in orbit a full-on space-based data center node, not just a satellite. And here’s the bigger picture: SpaceX has filed plans for up to ONE MILLION orbital data centers of its own. Read that again. We may be watching the birth of the first true space-based computing infrastructure layer for civilization. The internet already left the ground. Now AI might be next. What happens when the cloud literally moves into space? Follow for more frontier physics and future technology.show more

Open models are at the center of one of... the most important shifts in AI. At #NVIDIAGTC, NVIDIA founder and CEO Jensen Huang is bringing together leaders from some of the most exciting AI companies to discuss what comes next. Featuring leaders from: Ai2, Black Forest Labs, Cursor, LangChain, Mistral AI, OpenEvidence, Perplexity, Reflection AI, Thinking Machines, and University of Washington.show more

STARMIND sounds like something from a sci-fi movie. Naturally,... SpaceX set its mind to make it real. Starlink connects the world from space. STARMIND would run AI from space. Solar-powered orbital compute, laser-linked satellites, and eventually a massive xAI network above Earth. Starlink's wi-fi connection went into orbit first. Now the xAI brain wants a launch window. SpaceX / Writer: Annette, Designer: Jannéshow more

🚨 Visa × OpenAI is bringing payments to AI... agents. Agents are moving from answers to actions. In Web3, this future is already here. At Bluwhale, users can pay AI agents with $BLUAI, enabling creators to monetize their AI agents on-chain. Web2 is enabling AI payments. Web3 is building the AI agent economy. 🤖 Read more:show more

We’re announcing two new partnerships to bring innovative energy... generation and storage to our data centers: 1/ 🛰️ Space Solar: Partnering with Overview Energy to beam up to 1 GW of space solar power from orbit to Earth for around the clock power production.show more

AI tokenization is evolving from experimental infrastructure to production... systems. The shift is toward bringing real, production AI into on-chain coordination and settlement layers. THEA is tokenizing behavioral AI that has been operational for 10+ years across 30+ jurisdictions. Through Solana settlement, we're enabling broader access across enterprise clients and global on-chain participants.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

An AI-powered economy needs to prove that AI actually... did the work DeepProve and GAIB are bringing cryptographic integrity to AI compute and yield 🧵show more

A global real estate company partnered with IBM to... collect and analyze data to pinpoint inefficiency using AI, helping them cut energy, costs, and emissions.show more

We’re announcing a $60M extension to our Series D... from AMD, Arm and Qualcomm Ventures, bringing together partners across the automotive compute stack to simplify integration and accelerate time-to-market of our AI Driver across ADAS and automated driving systems worldwide.show more

Every search, recommendation, simulation and AI-generated response depends on... rapid access to #data.​​ From training large AI models to enabling real-time inference, #DRAM helps keep today's most demanding workloads moving at the speed innovation requires.​​ This National DRAM day, join us in celebrating the technology that helps bridge the gap between processors and data, enabling everything from smartphones and PCs to #AI infrastructure.show more

⚙️ Decentralized AI Training Powerhouse VerAI leverages decentralized compute... to deliver efficient, scalable, and sustainable AI training for developers. 🌍 Our platform is built to optimize performance across diverse workloads, empowering you to build cutting-edge AI solutions. Here’s how VerAI drives technical excellence: 💻 VerAI’s Technical Edge ✅P2P Compute Network: Dynamically orchestrates AI training across consumer GPUs, cutting costs by 50% through efficient resource sharing. ✅API-Driven Integration: Supports TensorFlow, PyTorch, and more via robust APIs, enabling seamless multi-framework workflows. ✅Workload Optimization: Advanced scheduling ensures efficient resource allocation for training large models like LLMs. ✅Sustainable Compute: Reduces CO2 emissions by 20% per cycle with shared resources, aligning AI with eco-friendly practices. Join our waitlist and unlock the power of decentralized AI training optimized for performance, cost, and sustainability! 🌱 👉 #VerAI #AIForAll #SustainableTech #JoinTheFuture #EarnCrypto #AIAgents #Innovationshow more

Thrilled to introduce ApexTrader & NeuroQuant, our newest AI... agents now live in the Beta! These cutting-edge algorithms combine advanced ML with real-time market data to deliver sharper insights, predictive analytics, and dynamic strategy optimization. Elevate your trading game—try them now and stay tuned for more AI releases!show more

BREAKING: Grok is hitting all time high usage. Massive... global demand is driving Grok to the #1 rank and making it one of the most downloaded apps across multiple countries worldwide. xAI team is bringing additional compute online in real time to support the continued growth.show more

Samsung is really putting AI first on the new... Galaxy Watch9 and Ultra 2 "Now enhanced with intelligent, AI-driven insights, it is evolving to help us better understand and proactively manage our health in real time."show more

🎙 AMA Alert: Scaling AI with Decentralized Compute –... Building the Future of AI Infrastructure 🔧🤖 🧠 Join our AMA to explore how decentralized infrastructure is shaping the next wave of AI — from real-world use cases to tackling latency, privacy, and compliance. 🗓 July 9, 2025 | 2PM UTC 📍 X Space: 🎙 Hosted by Dustin, BDM AIxBlock 👥 Featuring: Prakarsh Pathak, Head of Ecosystem | Sagar Punjabi, Operations and CS Lead NodeOps 💬 Topics: Key advantages of decentralized compute for AI Privacy, latency & regulatory challenges Real-world examples from leading Web3 infra teams Let’s reimagine AI infrastructure — together.show more