AITECH Cloud Network

AITECH Cloud Network

By AITECH Cloud Network

Intelligent developer copilot automating code completion, refactoring, and debugging.

3.4(1 reviews)
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Development & CodingDecentralized ComputeGPU RentalsAI Agent OrchestrationWeb3 Infrastructure+4
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Freemium
Paid plans available

Overview

Summary: AITECH Cloud Network is a decentralized AI infrastructure ecosystem that combines on demand GPU compute with no code AI agent orchestration. Previously known as Solidus AI Tech, it rebranded and migrated its token to Ethereum as ACN in 2026. It operates an 8,000 square foot European data center and serves Web3 teams, decentralized AI builders, and enterprises seeking tokenized compute options. The platform reports 99.98 percent uptime and offers GPU rental starting at $0.80 per hour for an NVIDIA L40S, alongside Agent Forge plans with a free trial entry point.

What is AITECH Cloud Network?
AITECH Cloud Network is built around two core layers. The Compute Layer provides on demand GPU infrastructure for AI training, inference, rendering, and large scale data processing, with no long term contract required. Available hardware includes NVIDIA L40S, H100, H200, B100, B200, B300, and RTX 6000 series cards, with published hourly rates for the headline tiers and quote only pricing for higher end configurations. The Agent Forge layer is a no code and low code environment for designing, deploying, and managing multi step AI agent workflows that can connect to external systems and data sources. The platform uses hybrid Web2 and Web3 billing, where payments made in the native ACN token unlock discounts and trigger automatic token burn mechanics. Security is handled through CertiK audited smart contracts and blockchain level transparency. The network also includes staking and governance features, with more than 10 percent of total supply reported as staked. Its main trade off is that it has no published SOC 2, ISO 27001, or HIPAA compliance certifications and no fixed, disclosed data center region list, which makes enterprise evaluation harder than with centralized cloud providers.

Verifiable Stats:

  1. AITECH Cloud Network was previously Solidus AI Tech, and the rebrand included a token migration from AITECH to ACN on Ethereum, according to the official migration announcement referenced by Hokai.

  2. Solidus AI Tech, now AITECH Cloud Network, raised a total of $6.99 million from one ICO round on August 28, 2023, according to Tracxn.

  3. CB Insights lists total funding of $9.09 million for Solidus AI Tech, while Prospeo reports $12.6 million across two rounds and an estimated valuation of $12.1 million.

  4. Caplight records an estimated valuation of $29.7 million for AITECH Cloud Network with total funding raised of $9.33 million as of November 1, 2023.

  5. Prospeo estimates annual revenue of $3,764,420 for Solidus AI Tech, with revenue per employee around $86,000.

  6. Headcount grew from roughly 21 employees in November 2022 to 35 by September 2024, reaching 46 by June 2026, according to Crustdata.

  7. GPU pricing lists the NVIDIA L40S at $0.80 per hour, the H100 at $2.40 per hour, and the H200 at $2.84 per hour, with AITECH stating these are introductory rates that may change.

  8. Agent Forge offers Basic, Plus, and Pro plans with a free trial entry point, and the platform generates revenue through workflow execution fees, agent compute fees, and marketplace fees, according to its documentation.

  9. The platform reports 99.98 percent uptime, more than 10 percent of total supply staked, and an 8,000 square foot European data center, according to its homepage and Hokai profile.

  10. Funding an account requires a crypto or fiat credit deposit rather than direct card billing, and higher end GPU tiers plus bare metal clusters are quote only rather than published, according to Hokai.

Screenshots & Demo

AITECH Cloud Network Screenshot 1
AITECH Cloud Network Screenshot 2

Key Features

Core capabilities and functionalities provided by AITECH Cloud Network.

Dual-Product Architecture: Compute Layer + Agent Orchestration Layer

ACN is deliberately structured as two independently operating products rather than one tightly coupled platform. The Compute Layer (Compute Marketplace) provides enterprise-grade access to distributed high-performance compute for AI training, inference, and rendering, while Agent Forge is a no-code orchestration layer for designing, deploying, and managing AI-driven workflows. The separation means an organization can buy GPU capacity without adopting the agent platform, or run agent workflows without migrating its compute, which is unusual among AI infrastructure providers.

On-Demand NVIDIA GPU Marketplace

The Compute Marketplace aggregates GPU capacity from a distributed network of providers rather than a single data centre. The published inventory spans data-centre cards including the H100, H200, B100, B200, and B300, alongside workstation-class GPUs such as the L40S, RTX 6000 Ada, and RTX 6000 Pro, supporting training, inference, rendering, and large-scale data processing. Hourly, pay-as-you-go provisioning with no subscription or long-term contract is the default model, and bare-metal clusters are available on request.

Transparent, Credit-Based, Usage-Aligned Billing

Instead of the complex variable billing typical of hyperscalers, ACN uses a credit-based model where users purchase platform credits with ACN tokens, fiat, or stablecoins and are charged only for compute actually consumed. A reservation model allows long-term commitments at lower rates, and inactive resources incur no idle charges. ACN explicitly positions transparent, market-driven pricing as its answer to the opaque billing of AWS, Azure, and GCP.

Agent Forge No-Code Workflow Orchestration

Agent Forge lets both technical and non-technical users define multi-step workflows through simple inputs rather than code. The workflow engine handles sequential and conditional logic, tool and API integrations, dynamic decision-making, and an output layer that can trigger further actions. Workflows can be deployed as APIs, embedded in existing software, or exposed externally with authentication and usage limits.

Agent Economy with On-Chain Payments

Agent Forge introduces a monetisation framework in which workflows can be offered as paid services. An ERC-8004 registry enables on-chain registration and discoverability of agents, while the x402 protocol allows workflows to request and receive payment before execution, settling in ACN tokens or stablecoins. This turns automation assets into deployable, revenue-generating units rather than internal scripts.

Developer APIs and Web3-Native Access

The platform exposes flexible API endpoints designed for decentralised applications, smart contract interactions, and custom AI tools, alongside a clean dashboard for deploying and monitoring GPU instances using either Web3 or standard authentication. This makes ACN usable both by conventional engineering teams and by teams building within the Web3 ecosystem.

Multi-File Codebase Indexing & Exploration

Deeply scans project files, dependency trees, and symbol references to provide comprehensive cross-file edits and refactorings.

Automated Git & Terminal Workflow Automation

Executes shell commands, analyzes test runs, resolves syntax and runtime bugs, and crafts clean commit messages and pull requests.

Architectural Refactoring & Security Audit

Spots security vulnerabilities, dead code paths, and architectural smells, providing one-click semantic fixes and unit tests.

Native IDE & CLI Integration

Seamlessly operates within developer terminals and mainstream code editors without interrupting daily engineering flow.

Pros & Cons

Key strengths and potential limitations of AITECH Cloud Network.

What We Like

5 Pros
  • AI Workflow Automation: Agent Forge helps users build and deploy multi-step AI workflows, reducing the need to manage every task manually.
  • Extensive Integrations: The platform advertises connections to more than 500 integrations, enabling workflows to interact with a wide range of external tools and services.
  • GPU Computing Resources: Its Compute Layer provides access to computing infrastructure designed for demanding AI workloads.
  • Flexible AI Development: The ecosystem combines AI agents and computing resources, making it useful for developers building and running AI-powered applications.
  • Multiple Pricing Options: Agent Forge offers different subscription tiers, including an introductory free option, allowing users to explore the platform before committing to a paid plan.

Where It Falls Short

5 Cons
  • Learning Curve: Configuring AI agents, integrations, and computing workloads may require technical knowledge, especially for beginners.
  • Usage and Plan Restrictions: Free-tier access and subscription limits may restrict the number of workflows, integrations, or resources available.
  • Costs Can Increase: Advanced computing requirements and paid features may increase costs as projects grow.
  • Integration Compatibility: Not every integration may support every workflow or use case, and some setups may require additional configuration.
  • Blockchain-Related Complexity: The wider AITECH ecosystem includes a token component, which may introduce additional complexity for users interested only in AI development.

Use Cases

Discover common workflows and scenarios where AITECH Cloud Network excels.

Browse All

AI Workflow Automation

Build automated workflows that coordinate multiple AI models, tools, and services to complete repetitive tasks with less manual intervention.

Custom AI Agent Development

Create AI agents designed for specific business needs, such as processing requests, retrieving information, or coordinating multi-step tasks.

Customer Support Automation

Develop AI-powered support workflows that classify customer queries, retrieve relevant information, and prepare responses for support teams

Business Process Automation

Connect external applications and APIs to automate routine operations, data transfers, notifications, and internal workflows.

AI-Powered Research

Create workflows that collect information from connected sources, summarize findings, and organize results to support research and decision-making.

Content Creation Workflows

Build AI-assisted processes for drafting, summarizing, editing, and organizing content using supported models and integrations.

Data Processing and Analysis

Automate data collection, transformation, classification, and reporting by connecting AI models with databases, spreadsheets, and other supported services.

API and Webhook Automation

Trigger AI workflows through APIs, webhooks, and external events to connect agent-based automation with existing applications.

Reviews & Community Ratings

Average rating: 3.4 out of 5 (1 total reviews)

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Frequently Asked Questions

AITECH Cloud Network is an AI infrastructure ecosystem that combines GPU computing resources with AI agent orchestration. It supports developers and businesses building, deploying, and running AI-powered applications.

Tool Information

Websiteaitech.io/
Pricing
Freemium
Paid plans available
Sub Categories
Created ByAITECH Cloud Network
LaunchedJun 2024
LanguagesMulti-language support
PlatformsWeb, iOS, Android, Desktop