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Burn Day 2 is complete. 3M / 4.5M AXGT has now been burned and verified. But today's update is bigger than the burn itself: AxonOS Beta is now being shaped by real researchers, supported through compute grants from AxonDAO.

AxonOS is now in private beta. We are inviting qualified researchers to join the first test cohort and early grant pipeline. Selected researchers may receive free initial compute grants on the first V100-backed stack as part of the initial rollout. Apply here: forms.gle/mJrQwJpRek93jz…

You’re looking at @AxonDAO’s brand new @NVIDIA Blackwell-generation AI cluster “brain.” 16x brand new GPUs total: • 8× HGX B200 • 8× RTX Pro 6000 • ~2.2TB GPU VRAM • ~3.8TB system RAM These were custom built on the latest @Supermicro infrastructure by the experts @ICCUSA Comparisons: • Early ChatGPT AI models were trained on NVIDIA V100 GPUs (~125 TFLOPS each), while a single modern B200 delivers roughly 10–12× that compute in one chip. • For more perspective, 2.2TB of GPU memory is roughly the working memory of about 100x new laptops or more than 1,000x smartphones. • In 2018 would likely have required ~80–100 V100 GPUs costing roughly $ 1.5M–$3M in hardware alone. Now in 2026, the need for sovereign AI is more than apparent than ever, add personal data valuation, and you now have the elements for DeSci to thrive. $AXGT $ETH + Utility Note: the plastic wrap on the handles, we couldn’t make ourselves tear it off yet.

AXGT is moving toward value tied to real utilization. AxonDAO’s GPU fleet is live on @vast_ai. GPUs are rented, and revenue flows back to the DAO. A portion of profits will go to AXGT buybacks, with every buyback documented on-chain.

And this is exactly why I’m paying attention to $AXGT. Shifting from secondary GPU marketplaces to regulated, infrastructure enforced compute on Oracle Cloud changes the entire positioning of @AxonDAO. This is about enterprise grade AI for healthcare, sovereign deployment in the U.S., enforced encryption, and compliance baked into the stack. If revenue starts flowing from compliant AI compute instead of marketplace rentals, the longterm implications for the $AXGT token model become very real. Do your own research!

It’s live. AxonDAO’s GPU fleet is installed and will soon be rentable on the open market via @vast_ai. Premium GPU capacity - 8x NVIDIA B200 and 8x RTX Pro 6000 - built for large-scale AI training, inference, rendering, and research workloads. 🧵

Health data is one of the most valuable resources people often don’t realize they should have more control over. Pharma companies spend heavily on real-world data to support research and development. Insurance models are shaped by health risk signals. Tech platforms extract value from data at scale. How much of that value flows back to the individual? Often, very little. DeSci is trying to build a different model, where data contributors are stakeholders, not just sources.

🚨KEIR STARMER TO ANNOUNCE ANOTHER U-TURN JUST TWO DAYS AFTER SAYING THERE WOULD BE NO MORE U-TURNS Labour's plans for minimum wage increases are set to be scrapped after youth unemployment has SKYROCKETED Labour's fantasy economics fails again

It’s Green isn’t it ?

🚨BREAKING: Betting Markets now have Rupert Lowe as being TWICE AS LIKELY as Nigel Farage to be the next prime minister of the UK 🇬🇧 This is absolutely HUGE Not even 4 days in and Restore Britain are already make huge headway in UK politics 👀 Join Restore now!

If you’ve followed me for a while, you know I don't chase meme coins and speculative plays. I chase revenue. Because tokens without revenue are just momentum trades waiting to die. The web3 projects that win long-term are the ones with real web2 cash flow underneath them. And the ones that REALLY win? They use a portion of that revenue to: • Share with holders/stakers • Buy back tokens • Create structural demand • Remove supply Because that's how you create structural upward pressure instead of temporary speculation. Enter: @AxonDAO 2.0. A 3-layer revenue machine for decentralized science: 🧠 1) Axon OS (Software Revenue) Researchers subscribe to Axon OS to deploy and manage AI models without heavy infrastructure overhead. ⚡ 2) GPU Compute (Hardware Revenue) Axon owns high-end NVIDIA GPUs. Researchers pay to train and run models directly on Axon’s hardware. Compute usage = recurring revenue. 📊 3) Data Marketplace (Transaction Revenue) Users connect wearable + health data. Researchers pay for permissioned, anonymized datasets. Users get compensated. Axon takes a platform fee. Software + compute + data. Three monetization rails. Stacked together. Each reinforcing the other. This is how you turn AI + DeSci into a real business model instead of a whitepaper narrative. And the $AXGT token? The new contract allows it to be a core piece of the economic engine - embedded into compute coordination, privacy infrastructure, and on-chain supply mechanics. As revenue expands from Axon OS subscriptions, GPU usage, and data transactions, that's when AXGT buybacks and on-chain burns happen. 🔥 Adoption up. ⬆️ Supply down. ⬇️ That's how long-term price appreciation is built - not through hype cycles, but through expanding revenue feeding into token economics. Needless to say, I'm once again SUPER BULLISH on the new and improved @AxonDAO 😎

The Answer to AI is Tokenization: AxonDAO + Oracle Build the Backbone. AxonDAO has selected Oracle Cloud Infrastructure (OCI) as the foundation for our next-generation GPU compute platform—and we're not just renting cloud services. We're installing our own GPU infrastructure inside Oracle's sovereign regions, creating the backbone for tokenized AI compute. This is the missing connectivity layer between raw compute power and compliant, privacy-preserving AI utility.

Cash-flowing AI GPUs powering monthly $AXGT buybacks 📈 @AxonDAO just announced it’s building and scaling secure, enterprise-grade GPU infrastructure on Oracle Cloud Infrastructure - targeting AI & life-sciences workloads that actually pay. But here’s the best part 👇 💰 GPU revenue will be used to BUY BACK $AXGT from the open market. 📈 That means real, recurring buy pressure - not hype, not emissions. ➡️ Hundreds of thousands in monthly buy pressure to start ➡️ Scaling higher month-over-month as GPU demand grows ➡️ Less circulating supply + growing revenue = explosive price appreciation $AXGT isn’t speculation anymore - it’s a revenue-backed utility token tied directly to AI + scientific compute demand. The Axon team has been building relentlessly despite market conditions, and it's about to all pay off in 2026! 🚀

@AxonDAO just took delivery of something special for $AXGT holders… about a year in the making. The tokenized AI backbone infrastructure is no longer theoretical. It's in a large box, in our data center colo facility, ready to connect to our awaiting infrastructure. When the special transportation across the USA required armored vehicle escort and key bolts, it must be something important.

As it turns out, the market is searching for utility. AI + GPUs + Tokenization We know utility comes from real-world products and natural usage.. - Incentivized Quality Data. - Heavy AI Workloads. - Ultra Powerful GPUs. - Secure Data Networks. This has been our passion since being introduced to @Nvidia Inception late 2023, and having attended years of learning from the best @NVIDIAGTC events since then. Because of this, we’ve been building this reality with the great team @Supermicro and many others since last Spring. Now it’s all here, just in time. 👀 $AXGT @AxonDAO DeSci

Behind responsible health AI is a less visible layer: compute. Model performance, privacy guarantees, and real-world usability depend not just on architecture, but on how and where computation happens. AxonDAO’s GPU backbone, built with NVIDIA Inception access and featuring heterogeneous systems with high-performance clusters, is designed for distributed, privacy-preserving workloads that enable fast inference without centralizing sensitive data. In practice, this means: 🔹Materially faster inference for voice biomarker models 🔹Architectures that avoid moving raw data off-device 🔹Federated training across trusted environments Compute choices shape what health AI can realistically do, and how responsibly it can be done.

We don’t rent compute. We own it. Backed by $AXGT. Distributed by @AxonDAO. More soon…

In our last X Space, @Chris_AxonDAO unpacked why modern science increasingly depends on access to GPUs, not just good ideas. As research shifts toward AI, simulation, and large-scale data analysis, compute becomes the layer that determines who can move forward and who has to wait. When access is scarce or centralized, discovery slows, no matter how strong the hypothesis is. This is why compute infrastructure matters so much for decentralized science. 🎧 Catch the full conversation in the recording here: x.com/i/spaces/1OdJr…