The update showed how AxonDAO is turning its DeSci infrastructure strategy into working paths for researchers, builders, compute users, and the wider community.

Funding and GPU revenue are strengthening the compute strategy

The team shared two commercial updates.

Chris confirmed that AxonDAO secured a six-figure pre-seed from a lead investor. The funding provides a stronger base for continued development across compute, AI, and DeSci infrastructure.

AxonDAO also crossed $50,000 in GPU-related revenue through Vast.ai deployments. This revenue comes from infrastructure already in use, while the team continues preparing direct AxonOS access around the V100 stack and planning future GPU expansion.

The call also explained the current AXGT compute utility. Users pay for direct AxonOS compute with ETH. Eligible AXGT holders can receive tiered discounts on the ETH price, with a maximum discount of up to 25% based on wallet balance.

AXGT is not required to use the core compute path. Its current role is to reduce compute costs for eligible holders and connect token utility to infrastructure usage.

The AxonDAO Grants Program is live

The AxonDAO Grants Program gives researchers and builders a clearer path into the ecosystem.

The program is designed for projects working on:

  • Health AI
  • Bioinformatics
  • Molecular simulation
  • Scientific computing
  • DeSci tooling
  • Citizen science
  • Experimental AI and science projects moving from idea to execution

Support may include funding, compute access, technical guidance, scientific collaboration, mentorship, and industry connections.

For researchers who need infrastructure to test a workload, run experiments, or build around open science, the grants program is one of the most direct ways to begin working with AxonDAO.

Apply: axondao.io/grants

The new website gives each audience a clearer path

The new AxonDAO website is live.

It was rebuilt to make the ecosystem easier to understand for people arriving with different needs. A researcher looking for GPU-backed workspaces should not have to follow the same path as a token holder, an enterprise compute buyer, or someone learning about DeSci for the first time.

The site now provides clearer routes into AxonOS, AxonGPU, CURERING, AXGT, grants, and community participation.

This is especially important for researchers and traditional scientific users who may be interested in the infrastructure without already using Web3 terminology. The goal is to help each visitor understand what AxonDAO is building, find the relevant product, and know what to do next.

Visit: axondao.io

AxonOS Beta is becoming a persistent research workspace

AxonOS is a browser-accessible remote desktop environment designed for researchers and scientists. It gives users GPU-powered workspaces with the tools and environment needed to run scientific computing workloads.

Recent beta work has focused on making those workspaces more reliable for real research use.

Persistent storage is now part of the system. Files saved within the user environment can remain available across sessions, helping researchers preserve datasets, molecular models, scripts, documents, and environment configurations.

The team also confirmed progress on multi-session access. This allows multiple users to claim GPU sessions and work in separate desktop environments at the same time, helping the beta support more researchers without placing every user into one shared session.

Performance and browser access

Performance has been another major engineering focus.

AxonOS has moved from a noVNC-based remote desktop interface toward a hybrid WebRTC architecture. The goal is to improve streaming quality, reduce latency, and better support tools that involve visual interaction, including molecular visualization and 3D workloads.

Scientific templates are the next layer

Scientific templates are preconfigured environments for common research workflows, including tools such as GROMACS and other scientific computing stacks.

Templates are intended to reduce setup work. Instead of rebuilding the same software environment for every session, researchers can begin closer to the tools and configuration their workload requires.

AI-assisted workflows are being tested inside AxonOS

The team also shared early examples of AI-assisted scientific workflows running inside AxonOS.

AxonOS supports local AI tools including Ollama and OpenCode. This allows users to interact with models inside the same GPU-powered environment where their scientific software is running.

The goal is to make the environment easier to operate, particularly for users who may not know every command required by a research tool.

During the call, Dr. Avi described testing OpenCode with GROMACS. The agent checked whether GROMACS was installed, ran version checks, and verified whether the environment could access the available GPUs.

He also tested the agent with PyMOL. In one example, the agent opened PyMOL and loaded a molecular structure using a Protein Data Bank ID. In another, it used web lookup tools to find molecular data related to rheumatoid arthritis and load a relevant structure into PyMOL.

These are early examples, but they show the intended direction: a workspace where GPU access, scientific software, and AI assistance can operate together.

Advanced users gain more control inside one environment. Less technical researchers gain a simpler route into tools that often require command-line experience.

AxonOS remains the current engineering priority

AxonOS remains the main engineering focus. Current priorities include stability, scientific templates, persistent workspaces, performance improvements, and researcher onboarding.

CURERING and Axon Voice remain part of the longer-term health data and AI direction. The team discussed future work around wearable data, on-device AI, voice interfaces, and research participation, but the immediate focus remains on AxonOS product readiness.

This sequencing provides a base for the wider ecosystem. Compute access, persistent environments, and AI-assisted workflows can support future research and health-data products.

What comes next

The June 10, 2026 update gave the community a clearer view of what is live, what is progressing, and where people can take part.

Explore the AxonDAO website: axondao.io

Apply for the AxonDAO Grants Program: axondao.io/grants

Follow the AxonOS access path: axondao.io/axonos

Follow compute updates: axondao.io/dashboard

AxonDAO's current focus is to make GPU compute, AI-assisted workflows, research environments, and DeSci participation easier to access for the people ready to use them.