💚 Ventory 💜

[AxonDAO @AxonDAO]

Our technical team has been hard at work on AxonOS Beta. Recently we have added:

• One-click environments (15+ stacks)
• Permanent storage between sessions
• Grace period when funds run low
• Direct SSH access for power users

All live.

[AxonDAO @AxonDAO]

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:
https://t.co/YbvLjlWOrC

[AxonDAO @AxonDAO]

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.

[AxonDAO @AxonDAO]

https://t.co/pLskf2rRnh

[AxonDAO @AxonDAO]

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: https://t.co/G8Qb247R8C

[AxonDAO @AxonDAO]

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: https://t.co/4OGsRWlU7x

[AxonDAO @AxonDAO]

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: https://t.co/Z2AjI3mcIZ

[AxonDAO @AxonDAO]

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.

[AxonDAO @AxonDAO]

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.

[AxonDAO @AxonDAO]

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.

[💚 Ventory 💜 @Tonydule1]

RT @AxonDAO: Most GPU products stop at access.

AxonOS starts where access becomes work.

AxonOS is a virtual desktop designed for scientif…

[AxonDAO @AxonDAO]

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.

[AxonDAO @AxonDAO]

AI can accelerate science, but only if the infrastructure is already there.

Compute, consented data, decentralized coordination, and research workflows need to be connected before a global threat appears.

Researchers need this today, not just when a pandemic forces the question.

That's what we're building.

[AxonDAO @AxonDAO]

https://t.co/O97RAJUIhI

[AxonDAO @AxonDAO]

Compute should start with the workload.

For research and AI teams, the first question is simple:

What are you trying to run?

From there, everything else should follow: the environment, the tools, the GPU access, the storage, the controls, and the workflow around it.

That is the direction we are building toward with AxonOS.

A more practical path from research workload to usable compute environment.

[Axelar Network @axelar]

Wherever you want to go, Axelar gets you there.

[AxonDAO @AxonDAO]

Axon Academy Episode 3 is live.

DeSci can open access to more data, more research, and more collaboration.

But access alone is not enough.

The next step is turning that information into something researchers can actually use, and that is where AI, compute, and infrastructure become essential.

AxonDAO is building for that next step: the infrastructure that helps open research become usable research.

[RenzoAI @RenzoAI]

Trade $REZ perps on @HyperliquidX

Diamond balls. Perp longs.

[AxonDAO @AxonDAO]

Day 3 burn is complete 🔥

4.5M / 4.5M AXGT has now been permanently removed from circulation.

This is part of the infrastructure work we’re building around Axon’s protocol. For us, the point isn’t just the burn itself. It’s the loop behind it:
- GPU demand leads to compute usage.
- Compute usage supports real research.
- More infrastructure enables us to expand capacity.
- More capacity gives research workflows more space to run.
Compute, research, infrastructure, repeat.

Burn tx: 0xaa56820ac2425d05c89e1110cb34e1c8cec999c58a7306bb5a55df5434fbafd7

[Dr. Evil of Crypto @DrEvilofCrypto]

In the last month...

$BIO → .015 → .06 (4x)
$RSC → .056 → .17 (3x)
$VITA → .18 → .90 (5x)

DeSci is clearly starting to wake up.

But there’s one project that still feels massively overlooked.

A project with:
• Massive utility
• Strong tokenomics
• REAL revenue generated from Nvidia GPUs
• And a tiny market cap under $1.5M

I’m talking about @AxonDAO and its native token ethereum:0x6112c3509a8a787df576028450febb3786a2274d 🔥

As “DeSci Summer” starts heating up, I genuinely don’t see another DeSci project with this level of upside relative to its valuation.

Tiny market cap.
Rapidly scaling revenue.
Still super, super early.