Qtum extends AI infrastructure with Qtum.ai Text‑to‑Video and integrated AI router

Machine Learning


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Long-running Bitcoin-based smart contract platform evolves into modern AI and computing ecosystem

Qtum announced the expansion of its ecosystem with Qtum.ai, a text-to-video generation platform, and the upcoming Qtum AI Router, a unified inference layer designed to provide efficient access to multiple AI models. Together, these services position Qtum as a blockchain-supported AI infrastructure network built on a stable, long-running Proof-of-Stake blockchain that has been in continuous operation since 2017.

Qtum’s approach combines a Bitcoin-based UTXO architecture, EVM-compatible smart contracts, and a trusted, production-ready blockchain with the latest AI tools, GPU computing, and creator-focused workflows. The result is an ecosystem spanning blockchain infrastructure, distributed computing, and AI-generating tools under a single brand.

Also read: AiThority interview with Matej Bukovinski, Chief Technology Officer at Nutrient

Qtum.ai: Text‑to‑Video for creators and developers

Qtum.ai provides cinematic text-to-video generation using models such as Seedance 1.0, 1.5, 2.0 and HappyHorse. The platform is designed for creators, developers, and businesses looking for high-quality AI video without subscription barriers.

The main features are:

  • no credit card required
  • No subscription
  • No token packs or prepaid bundles
  • Pay-as-you-go usage
  • No data collection or model training on user content
  • No cookies, tracking pixels or ad retargeting
  • Authentication with MetaMask Snap or Google Login
  • 500 free tokens

This model eliminates common pain points with AI services, such as subscription lock-in, credit card anxiety, and persistent marketing emails. Users can generate videos without entering financial information or subscribing to a monthly plan.

Qtum AI router: integrated inference layer

The beta release will be the Qtum AI Router, which provides a unified API to route requests between multiple AI models. Similar in concept to OpenRouter, this service supports:

  • AI model routing
  • multi-model inference
  • Distributed GPU computing
  • Low-latency request processing
  • AI orchestration and workflow integration
  • Agent compatible infrastructure

Router is designed to support developers building AI agents, automation tools, and multi-model applications. ClawBot users will find it easy to operate.

Blockchain with long-term reliability

Qtum’s blockchain has been operating without downtime since 2017, offering a stability profile that is rare in the industry. The network combines:

  • Bitcoin-based UTXO security
  • EVM compatible smart contract
  • Proof of Stake Consensus
  • Enterprise-grade reliability
  • Consistent uptime over 7 years of operation
  • 50 core updates in 8 years

This reliability is central to Qtum’s position as an AI computing network. AI services require predictable and uninterrupted behavior. This is a requirement that Qtum’s blockchain has proven in production environments for many years.

Integrated ecosystem: blockchain + AI + computing

Currently, the Qtum ecosystem extends to:

  • Qtum blockchain — Long-term stable Bitcoin-based smart contract platform
  • Qtum.ai — AI video generation for creators and businesses
  • Qtum AI Router — Unified Inference Routing for Multi-Model AI
  • Kutum Ali — Desktop AI agent that integrates multiple LLMs
  • GPU infrastructure — Power your inference and generation workloads

This positions Qtum as a hybrid blockchain and AI infrastructure network that supports decentralized computing, creator tools, and useful Web3 applications.

Qtum is a Proof-of-Stake blockchain that combines Bitcoin’s UTXO model with Ethereum-compatible smart contracts. Launched in 2017, Qtum has maintained uninterrupted network operations for over seven years. Qtum is currently expanding into AI infrastructure, GPU computing, and creator-focused tools through Qtum.ai and Qtum AI Router.

Also read: ​​AI Systems – Interoperable AI Systems: Connecting models across platforms

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