Void

10 slots. 15 minutes each. We watch you deploy an agent live. We fix what breaks. You tell us where it's hard. Most useful session you'll have this week — and you leave with a working agent. → join.nunet.io/widget/booking…

The first surface for NuNet AI Agents is Telegram. Hermes agents in a chat window every tester already has open. No new app required. Web control plane ships next. Default has to be familiar. → agents.nunet.network

@scottmelker @BlackRock just validated the entire compute economy @nunet_global is already live connecting idle GPUs & CPUs worldwide into a decentralized compute layer for AI. 5 years of building. When institutions start chasing compute exposure will be on the menu. nunet.io

NuNet AI Agents alpha is live for the first cohort. Pick a language model. Connect Telegram. Deploy Hermes. 24-hour deploy window during alpha. Beta waitlist is open. community.nunet.io/agents

Hermes Agent just passed Claude Code in GitHub stars. Open agents are winning. The next question is where they run. Final touches going in, 60-second agent deploys, Alpha testers in first, Hermes shipping as the first agent live on the network. Sign up: community.nunet.io/agents

$NTX @nunet_global is about to change everything.$3M market cap @bengoertzel on the council. Decentralized AI compute. Alpha release incoming with HERMES agent. Deploy an AI agent on a peer to peer network in 60 seconds while similar projects sit at $500M+ mcap #AICompute #ASI

Pick an agent. Pick a model. Connect Telegram. About sixty seconds later you've got an AI agent running on a peer-to-peer compute network, chatting to you where you already are 🚀 Alpha release coming soon with @NousResearch #HERMES agent 👀

Seven weeks of NuNet Network Live. Here's where things stand. Six releases shipped. Multi-chain settlement live. Open provider access. Real AI workloads running on the network. A thread on what's running, and what's next.

Everyone’s talking about AI agents. But they’re still stuck on Big Tech infrastructure. @nunet_global is building something different: A decentralised AI agent economy. → Share compute. Earn → Deploy agents in 60 seconds → Run without relying on the cloud Already live: Hermes agents, OpenClaw frameworks, Telegram deployments No gatekeepers. No lock-in. Just agents running on decentralised compute. #NuNet #DePIN #AIAgents

Two AI agents. Two containers. Two machines. One seamless handoff. No cloud, no API gateway, no central server in the middle Just agents coordinating across NuNet infrastructure the way the protocol was designed to work.

You literally could stop overpaying for centralized cloud servers that contradict the very "decentralized" AI you’re trying to build. You can now deploy powerful frameworks like @openclaw on @nunet_global using @ollama as a network provider in few minutes, using peer-to-peer compute that requires no big-tech lock-in and zero data privacy compromises. Grab the NuNet Appliance today and take back control of your compute. “The question is no longer if decentralized compute works. It is more of what you can build with it” Visit: nunet.io now to begin.

How do machines pay each other on NuNet? Let’s break it down 👇 Step 1/5 — Medium of Exchange 💸 @nunet_global uses crypto for payments. NTX powers the network, and ADA can be used directly. No banks. No friction. Just programmable money.

@ZssBecker Look into $NTX 🚀 Deeply linked with ASI $FET. NuNet: Breaking the cloud monopoly. Open. Scalable. Transparent. ☁️🔓

Energy. AI infrastructure. AI compute. Privacy. In a post AI world all of these will need to be decentralized. Crypto is the only way to do this. Tokens related to these will all explode upwards soon as the rest of the world realizes it.

We deployed @openclaw on decentralized compute this week and the whole thing took about 10 minutes with no cloud account needed. OpenClaw running @Alibaba_Qwen 3.5:2b through @ollama, all deployed via the NuNet Appliance on peer-to-peer infrastructure. The interesting part is that everyone building AI agents is designing them to be autonomous and decentralized, but the compute actually powering those agents is still sitting on AWS and Google Cloud. That contradiction matters more than people realise. We went with a 2B parameter model because most agent tasks like routing, classification and tool selection don't need anything close to GPT-4 scale. Smaller models on modest hardware is what makes genuine distribution across a network possible, which is the whole point of decentralized compute. For anyone building agents this opens up a real alternative where you pay for what you actually use, there's no single point of failure, and your data stays on hardware you control. x.com/nunet_global/s…

The edge AI market is set to hit $37 billion this year. The devices are ready. The models are ready. You can run small language models on a $50 Raspberry Pi. What's missing? The infrastructure to orchestrate billions of distributed devices across owners, locations, and connectivity conditions. Cloud can't do it. Centralized control breaks at the edge. That's the problem NuNet solves Full breakdown on our blog 👇 x.com/nunet_global/s…

This is just an example. The protocol can be used to run stuff across - your own fleet of devices - combination of local and cloud devices including those offered by community and data centres Practically anything that can be dockerised can be run

We deployed a fully private AI agent on NuNet in under 5 minutes 🚀 @openclaw running @Alibaba_Qwen through @ollama , one of the hottest open source model families right now, entirely on decentralized compute. No cloud. No API keys. No data leaving the machine. This is what private AI looks like when you actually build it instead of just talking about it. Your model. Your hardware. Your rules. Full walkthrough showing exactly how it works: youtu.be/KXpoorhADuo What should we deploy next?

The model race produced intelligence. But intelligence alone doesn't run operations. In 2026, AI orchestration became the real infrastructure problem. Coordinating multiple agents across distributed compute, in real time, with failure recovery. The $8.5B question isn't who builds the biggest model. It's who coordinates them. Our latest blog breaks down what's shifting and why compute orchestration is the layer underneath it all x.com/nunet_global/s… medium.com/nunet/why-ai-o…

This isn’t a smart home. It’s a compute node. @nunet_global × AL’MA are turning buildings into decentralized AI + energy infrastructure. The future isn’t in the cloud… it’s in your home. #AI #Ntx #DecentralizedCompute