700,000 AXGT burned today, permanently removing those tokens from circulation.
That brings the reported supply to:
• 719.1M total supply
• 228.2M circulating
• 490.9M non-circulating
• 280.9M removed from the original 1B supply
What makes this more interesting is the combination of shrinking supply with an ecosystem that is still expanding across GPU compute, AxonOS and DeSci infrastructure.
Less supply. More utility. More infrastructure. $AXGT 🔥🧬
A long research run shouldn't hold your laptop hostage.
Run your workload on AxonOS and keep your own machine for everything else.
https://t.co/Q4WMPdvc6d
This is exactly why $AXGT keeps getting more interesting.
AxonDAO already has real GPU revenue, AxonOS is live, and the token now has a direct role inside the product through compute payments and holder discounts.
As usage grows, the connection between $AXGT, GPU demand and scientific/AI workloads becomes much more important.
The infrastructure is already working. Now it’s about scaling usage. 🧬⚡
This is what makes the AxonDAO story so interesting.
$150K in GPU revenue from real workloads, with the numbers visible on a public dashboard instead of hidden behind vague claims.
Compute is being used, revenue is being generated, and the infrastructure keeps expanding around AxonOS and $AXGT.
Real usage. Real revenue. Public data. 🧬⚡
This is the kind of utility that actually matters.
$AXGT can now be spent directly on AxonOS for GPU compute, giving the token a clear role inside the product researchers are using.
$AXGT → compute → experiments → research
As AxonOS usage grows, that connection between the token and real infrastructure becomes even more interesting.
DeSci with a working economic layer. 🧬⚡
This is where the bigger AxonDAO vision starts getting interesting. 🧬
GPU infrastructure is already generating revenue, AxonOS is giving researchers access to compute, and CureRING is bringing user-controlled health data into the picture.
AxonLife could eventually bring these pieces together into a much broader ecosystem.
The foundations are taking shape, and $AXGT connects the community to the network through governance and utility.
Still early. Still building. ⚡
$150,000 in GPU revenue.
Every dollar comes from real workloads on the AxonGPU fleet, and every dollar is tracked in public.
Live numbers: https://t.co/XGNbQmfGnN
Humans move. Ideas move. Now research doesn't have to wait.
Pay for GPU compute with $AXGT, USDC, and ETH directly on AxonOS.
Keep research moving: https://t.co/Q4WMPduEgF
This is a great example of what AxonOS is actually built for.
Eight molecular dynamics simulations ran in parallel on 8 NVIDIA V100 GPUs, modelling a 63,708-atom membrane system and producing 364 ns of simulated molecular motion.
The result was clear inside this model:
At 0.30 and 0.50 V/nm, water-filled pores formed in every run. At the stronger field they appeared in roughly 1.2 ns, and after the electric field was switched off, the pores remained open throughout the full 15 ns observation period.
What I like most is the reproducibility side. The inputs, random seeds, software versions, analysis code, results and file checksums are being shared so others can reproduce and extend the experiment.
And the entire campaign went from launch to completed simulation in around 9 hours using AxonOS.
This is the direction I want to see DeSci move in: accessible compute, transparent methods and research that others can actually build on.
$AXGT 🧬⚡
https://t.co/spoDB1BDmY
Can electricity open a door in a cell membrane? ⚡️
8 GPU simulations on AxonOS. 63,708 atoms each. At 0.30 V/nm and up, a water channel punched straight through the membrane.
https://t.co/BAgiSdpy25
Instead of researchers spending time configuring hardware and environments, the compute layer is already there. Open the browser, bring the dataset or experiment, and start working.
GPU compute, JupyterLab, RStudio, AI and bioinformatics tools in one place, with real $AXGT utility built into access.
Less friction around compute means more time for actual research.
That’s the kind of DeSci infrastructure worth paying attention to. $AXGT
DeSci is finally getting its own operating system🧬⚡️
@AxonDAO just put AxonOS live: a research environment running straight from your browser, with GPU compute, JupyterLab, RStudio, AI and bioinformatics tools ready to go.
The interesting part? We bring the dataset, model or experiment. AxonOS handles the heavy compute.
And with ethereum:0x6112c3509a8a787df576028450febb3786a2274d, holders can access up to 25% off V100 compute 👀I love these first insights✨
Less hardware. Less setup.
More science actually getting done🧪
#AXGT #DeSci #AI #Web3
This is MUCH bigger than people realize. 👀
#AxonOS isn’t just another product, it’s infrastructure being built for the NEXT ERA OF #SCIENCE.
#AI. #Compute. #Research. #Wearables. $DeSci. All converging into ONE ecosystem.
And this is only the beginning…
First came the infrastructure.
Now the ecosystem is taking shape.
Next comes the part everyone will wish they saw coming.
#DeSci is the revolution powering a healthier tomorrow.
$AXGT is the fuel behind it. ⛽️🧬🔥
@svpino We also care about helping. Stopping blockers. Putting researchers out front. We just launched AxonOS. Hope you have a chance to check it out and see what else we are building!
A 15x move followed by a clean pullback is exactly where things get interesting again.
ethereum:0x6112c3509a8a787df576028450febb3786a2274d has gone from pure speculation to a project with real GPU infrastructure, real revenue, AxonOS live and growing token utility.
The market has already shown what can happen when attention hits.
Now it’s back in a zone where I’m watching closely again.
Still early. Still building. ethereum:0x6112c3509a8a787df576028450febb3786a2274d.