We outgrew the old site. So we rebuilt it. The new AxonDAO website is live, showing the ecosystem into one surface across compute, research, data, and governance. Check out the new website: axondao.io

1,000,000 $AXGT burnt 🔥 GPU revenue closing in on $60k. Part of that revenue → buy back AXGT → remove it from circulating supply permanently. The flywheel is spinning. Proof: etherscan.io/tx/0x31593cbb43…

The new AxonDAO Grant Program is here. We’re opening support for researchers and teams building in health AI, DeSci, bioinformatics, and scientific computing. Selected applicants can access funding, compute credits, mentorship, and industry connections to help advance their work. If your research needs infrastructure, guidance, or access, start here: axondao.io/grants

Safety controls are important, especially in sensitive domains. But when legitimate biology work struggles inside closed interfaces, it shows why researchers need more than model access. They need open models, usable compute, and environments designed for scientific workflows. That is the layer AxonOS is being built for.

We’re going live in 1 hour. Chris (CEO)@Chris_AxonDAO, Dr. Avi (CTO)@iAvimanyu and Christian (CMO)@OnChainChris will be live at 2PM UTC for today’s AxonDAO team Space. If you’ve been trying to understand where AxonDAO is heading next, this is the one to join. We’ll talk through the new site, the ecosystem story behind it, the new drop coming this week, and questions from the community. Drop your question before we go live. One eligible question answered during the Space will be randomly selected to win 10,000 AXGT. Join here: x.com/i/spaces/1mGPaapqjjVJN…

Axonians, tomorrow is a big one. Join Chris (CEO)@Chris_AxonDAO, Dr. Avi (CTO) @iAvimanyu, and Christian (CMO) @OnChainChris for a team Space at 2PM UTC. We’ll be talking through the new AxonDAO site, what it means for the ecosystem, and a new drop coming this week. We’re also pulling questions directly from the comments for a live Q&A. Ask your question below. One question answered during the Space will be randomly selected to win 10,000 AXGT. Set a reminder: x.com/i/spaces/1mGPaapqjjVJN…

Axon Academy Ep 5 is live. This one is all about the process of scientific discovery. What used to be years in the lab has now turned into days or weeks of compute usage. Scientific discovery as we know it is changing, and AxonOS is positioned to support the next generation of scientific researchers.

We've crossed $50,000 in GPU revenue through AxonGPU 🫡 You can always check out the most recent live stats on our fleet by visiting: axondao.io/dashboard

We just burned 1,000,000 $AXGT to celebrate the launch of our new website. The tokens used for the burn were purchased by AxonDAO using revenue from GPU rentals. Proof: etherscan.io/tx/0x5f190be638…

Builders and researchers: What kind of workload are you trying to run right now? We want to understand the real compute needs across research, AI, and DeSci. If your workload is more specific, tell us in the comments.

ESMFold2 just open-sourced 1.1 billion protein structures - beating AlphaFold's database by a large margin. @Biohub released the model, the atlas, and the weights. All free and open source. This is a huge deal. Protein structure prediction used to require massive institutional budgets. Now any lab can download the model and start running it. Except most can't. Inference over billions of sequences, fine-tuning for disease-specific targets, downstream analysis - that still takes serious GPU hours. Open-source models lower the barrier to zero. Compute raises it right back up. That's the gap we're building AxonOS to close.

Hold AXGT? Your compute access may cost less. When AxonOS access opens, eligible AXGT holders can reduce the ETH price they pay for compute. Exact terms will be live when access opens.

Research often slows down before the workload even starts. The researcher knows what needs to run. The model, dataset, or pipeline may already be clear, and the compute may exist somewhere. The hard part is getting from intent to execution. By the time access is approved, environments are configured, dependencies are fixed, and payment or procurement is sorted, the team has already lost time before the first run begins. AxonGPU and AxonOS help close that gap by giving research and AI teams a clearer path from workload to usable compute. Scientific work should not get stuck at setup.

You ever think about where your sleep data actually ends up? Most people don’t. They connect a tracker, accept the terms, check the dashboard, and move on. But sleep patterns, heart rate, recovery, temperature, and voice signals are not just passive numbers. Over time, they can become a valuable picture of your health, habits, and routines. That data should not become more useful to everyone else than it is to the person creating it. If you use a wearable health tracker - do you know who owns your data, and the purposes for which it is being used?

AxonOS helps you go from checkout to workload in minutes. Choose your GPUs, pay with crypto, and open your AxonOS environment. No long onboarding process. Launching soon.

Most GPU products stop at access. AxonOS starts where access becomes work. AxonOS is a virtual desktop designed for scientific workloads: a Linux workspace with JupyterLab, terminal access, ML/science tooling, isolated sessions, and support for research workloads like GROMACS-style molecular dynamics. Less setup. Faster first run.

The new AxonDAO website is launching soon. It brings the ecosystem into clearer focus: decentralized compute, AxonOS, CURERING, and DeSci coordination working as connected layers. A simpler way to understand the infrastructure AxonDAO is building.