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Solidus Ai Tech is evolving into the AITECH Cloud Network (ACN).
ACN brings it all together into one system:
- Compute Layer
- AI Agent Orchestration Layer.
- Economic Layer
Check it out: aitech.io
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AITECH CLOUD NETWORK
9,858 posts
AITECH CLOUD NETWORK
@AITECHio
Enterprise-grade AI infrastructure ecosystem enabling autonomous AI systems at scale.
Joined August 2021
- Choosing Compute Isn't About Performance, It's About Removing Bottlenecks! Most AI teams don't struggle because their GPUs aren't powerful enough. They struggle because they can't access enough compute when they need it. A model that takes 3 days to train instead of 1 day
- AI Agents Need Receipts! An AI agent can decide to spend $50 on GPUs, but how do you prove it spent exactly $50? Which provider did it choose? Which model was trained? When did the job start? Was the result actually delivered? As AI agents begin making decisions and executing
- 250k+ AI Agents and 240k+ Active Users on ERC-8004! ERC-8004 now hosts more than 250,000 registered AI agents, alongside 240,000 active users interacting with the ecosystem. Adoption continues to grow as developers explore on-chain identity, discoverability, and monetization
- What's the first role most companies will replace with AI?Administration25.6%Content Creation22.2%Customer Support31.2%Research & Analysis20.9%468 votesFinal results
- Have you already signed up for Agent Forge 2.0? If not, now is the time. Agent Forge 2.0 is designed to move beyond basic automation, enabling autonomous workflows where agents can operate across systems, execute tasks, and adapt based on outcomes with minimal manual input. By
- The Cost Of A 5-Minute Task! Most business tasks don't take hours. They take five minutes. • Five minutes to review a request. • Five minutes to update a system. • Five minutes to approve something. • Five minutes to assign work to the right person. Individually, none of
- The Problem Isn't GPU Performance. It's GPU Utilization! A dedicated GPU running at 100% capacity can be a great investment. A dedicated GPU sitting idle is an expensive one. That's the challenge many AI teams face. Workloads aren't always predictable. Training demand changes.
- Automation Follows Instructions, AI Agents Pursue Outcomes! For years, automation has been built around rules. If this happens, do that. If a form is submitted, send an email. If a payment is received, update a database. It works, but only when the situation matches the
- What percentage of your work do you think AI will handle by 2030?Less than 10%12.1%10–30%15.2%30–50%18.2%More than 50%54.5%33 votesFinal results
- Why AI Developers Are Moving To Compute Marketplaces! One of the biggest challenges in AI isn't building the model. It's getting access to the hardware needed to run it. When a cloud provider runs out of capacity, development slows down. Training schedules get delayed. Product
- It has been one year since the Stake, Earn & Burn campaign concluded. Since then, rewards have continued to be distributed to eligible participants on a monthly basis, recognizing the community’s contribution to the campaign’s success. Thank you to everyone who staked,
