🤖 ExoBrain is a compute device built for large-scale... AI collaboration, supporting model training, inference, and long-running Agents With a standardized architecture and continuous execution capability, it delivers efficient, reliable compute for AI systems ⚡ From one-time calls to continuous operation, ExoBrain enables AI to execute persistently, produce ongoing outputs, and generate long-term value #ExoBrain #AICompute #AIAgents #AGIshow more

ROBA Compute is our GPU execution layer for robotics.... A distributed infrastructure layer for simulation, training, inference, and autonomous workflows — built for our stack first, then opened to external builders. GPU rental is already a category. The missing layer is robotics-native infrastructure: templates, allocation, benchmarking, and persistent execution for embodied AI. That’s the opportunity. ROBA Compute is designed to become the infrastructure layer where robotics workloads actually run.show more

70% of AI compute in 2026 is inference. Not... training. The models are built. The real infrastructure challenge is serving them at scale to millions of users and agents, every day, in production. Most enterprise infrastructure is still optimized for the wrong workload.🧵show more

📡 Data access may determine which autonomous agents can... actually function onchain at scale. Lithosphere explores why continuous access to reliable data, coordination layers, and execution context is becoming essential infrastructure for AI-native systems. Read more 🔍 #Lithosphere #Web4 #AutonomousAgents #AIInfrastructure #OnchainDatashow more

Partnership Announcement Exabits x {QuillAI Network} : AI Compute... Meets Autonomous Security The future of Web3 doesn’t just run on AI—it protects itself with it. Exabits and QuillAI Network are teaming up to push high-performance AI compute + adversarial AI security into the onchain economy. Who’s in the Room? Exabits → The Mothership of AI Compute: The Base Layer Everyone Builds On, scaling autonomous intelligence at the edge. QuillAI Network → AGI-grade security, where adversarial AI agents run trustless audits on smart contracts. What’s Happening? We’re cutting the friction between AI infrastructure and Web3 security. AI models need compute; smart contracts need protection. Now, they get both. Secure AI Compute: Exabits fuels QuillAI’s adversarial AI, giving security agents the firepower to scale autonomously. AI-Powered Defense: QuillAI safeguards Exabits’ compute layer, ensuring models run without vulnerabilities. Smarter Web3 Infrastructure: The merge of AI compute + security agents unlocks trustless AI governance, fortified DeFi stacks, and scalable digital ownership models. What’s Next? Web3 isn’t waiting. AI autonomy needs distributed compute + bulletproof security to thrive—and we’re delivering it. This partnership sets the foundation for AI systems that build, protect, and scale themselves. The new AI economy isn’t coming—it’s already here. Let’s move.show more

🔐 𝗣𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗪𝗮𝘃𝗲 𝗼𝗳 𝗔𝗜 We're proud... to partner with Stempoint to secure the future of decentralized AI compute. StemPoint is building one of the most advanced distributed AI infrastructures on the planet, sharded GPU compute, open model libraries, and secure data flows across a global mesh. Now with Naoris Protocol’s Sub-Zero Layer and dPoSec consensus, every node, model, and data packet gains: • Post-quantum cryptographic protection • Real-time validation of compute and algorithms • A decentralized trust layer for sovereign AI 🚫 No more trusting black boxes. ✅ Verifiable AI infrastructure at scale.show more

Holy sh!t ! OpenAI will have their custom inference... chips ready in just a few months and deployed at scale by the end of the year! 🤯 Training chip = The heavy lifters that require massive amounts of data and power to build and teach the AI models from scratch. Inference chip = The specialized, highly efficient chips that actually run the AI and generate the answers in real-time when you use it. This is going to help OpenAI drastically cut down their massive compute costs, speed up model reasoning times, and finally break free from relying entirely on Nvidia to scale their operations.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

$ZKHIVE X $NMT 🤝 We are excited to announce... our major partnership with one of the leading AI projects in the space - NetMind.AI ! $NMT is an award winning AI powerhouse that has quickly become one of the most recognized decentralized AI platforms in the space, thanks to their wide range of offerings, from cost effective compute farms to elite AI consultancy services and AI chatbots. As part of our long term partnership, $ZKHIVE and NMT are going to build security AI models together 🤖🐝 #zkHive will also receive an access to $NMT’s compute farm as well as AI consultancy from $NMT’s team of experts, and $NMT will get access to all of #zkHive’s products and APIs! This partnership will improve zkHive’s AI capabilities and introduce thousands of new users to $ZKHIVE ecosystem!show more

Cluster Protocol 🤝 StarLandAI We're forming a strategic alliance... with StarLand.AI StarLandAI is a generative AI network that supports running large models on decentralized computational power, offering MaaS (Model as a Service) API services for partners to easily build on-chain generative AI Dapps. 🤖🦾 Together, we are creating a more efficient and scalable environment for developing AI-driven applications. Stay tuned for groundbreaking AI innovations!show more

Today, we launch YouAgent, an AI agent with code... execution for more accurate answers to complex math and science questions. Unlike other consumer chat engines that cannot do reliable, multiple-step reasoning, it will also compute your mortgage accurately ;) A🧵 >show more

🚀 Early Access to Sahara AI Studio is NOW... OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:show more

🚀 Hyra AI app just leveled up! Optimized for... performance, built for passive yield. With an enhanced training engine and smoother UX, earning $HYRA on your device is now more efficient than ever. 🧠 Plug into edge AI. 💸 Train-to-Earn in the background. 📈 Let your phone generate real on-chain value. Update and start earning now: 🍎iOS: 📱Android: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

Agentz is a revolutionary platform that merges personalized AI... agents with a user-driven marketplace, creating a dynamic ecosystem for AI development. Users benefit from customized AI agents that enhance productivity across various tasks while simultaneously contributing to the evolution of AI. This collaborative model creates a continuous improvement cycle, where user input refines AI performance, and enhanced AI capabilities draw in more users. By bridging the gap between AI consumers and contributors, Agentz is pioneering a new paradigm in artificial intelligence. The platform empowers every user to benefit from and actively participate in shaping AI technology, driving a future where AI is both user-driven and continuously evolving. Agentz is incubated by the DePIN AI Intel Layer - Rivalz Network, to guarantee state of the art data management and privacy.show more

This guy built a mini AI farm out of... 4 Nvidia boxes It does not look like a data center. It looks like a stack of small machines sitting next to a laptop. But each box is a DGX Spark with Grace Blackwell inside, 128GB unified memory, and enough room to run models normal gaming GPUs cannot even open. Using the launch price from the article, 4 of them is almost $12,000 of local AI compute on one desk. That sounds expensive until you compare it to cloud GPUs. A serious AI builder can burn $1,500 to $3,000 a month renting A100s and H100s for client work, fine-tunes, agents and 70B models. He basically moved that bill from the cloud into hardware he owns. 4 Nvidia boxes. 512GB unified memory. No hourly meter running in the background. No rented GPUs eating the margin every time an agent runs too long. The funny part is most people still think local AI means a slow laptop running a toy model. Meanwhile guys like this are stacking compute at home. Save this, local AI is turning into the new mining farm.show more

At Applied Compute, we're not just training models, we're... building a model factory. To help researchers scale, we built Ari, our in-house AI research agent. Ari diligently sifts through gigabytes of logs to find evidence of unhealthy behavior, remembers results the team has learned from past experiments, and produces styled research reports for the team to review.show more

Built on Flaunch: ODEI is a decentralised platform designed... to build personal AI agents. It operates using a graph-native, constitutional World Model that acts as a persistent memory and governance layer for AI systems. They have earned $236.6K in trading fees since launching in February.show more

Weekend read: 𝗔𝗴𝗲𝗻𝘁𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 (𝗮𝗻𝗱 𝗗𝘂𝗿𝗮𝗯𝗹𝗲) Serverless... platforms are amazing for many AI agents, especially if they do a lot of bursty work (chat sessions with long inactivity) or react to events (approvals). Two things are needed to make this work well: (1) Durable execution / orchestration, to let agents recover and suspend (scale to zero) when they wait for input. (2) A durable execution orchestrator that has a push model that works with serverless platforms. Super fun to see agents with restate go brrrrrrrrrr: starting as durable functions on Modal's compute platform, scaling up, running, scaling down. Just out of the box, no extra code, no workers deployed. 👇show more

OpenLedger is integrating with Algebra, the DEX engine powering... liquidity across 90+ decentralized exchanges. This enables AI systems to reason over and route across deeply fragmented on-chain liquidity, operating directly at market scale. Every action is attributable and verifiable by design, setting a new standard for how autonomous systems interact with DeFi markets. This capability will be brought to market through MAIN, serving as an early flagship for attribution native AI tradingshow more