
Livepeer achieves record network fees as AI processing drives 72% of revenue, marking a 3x year-over-year increase in Q3.
The transformation is complete - from streaming infrastructure to real-time AI video processing powerhouse.
Key metrics:
- Q3 network fees up 3x YoY
- 72% of fees now from AI processing
- Projects like DaydreamLiveAI and Agent SPE avatars live
Three competitive advantages:
- Lowest latency for real-time AI
- Cost-effective pay-as-you-go scaling
- Open, decentralized community ownership
Next phase focuses on:
- Deep productization
- World-class latency benchmarking
- GPU marketplace scaling
- Direct builds for gaming, entertainment, robotics
Livepeer positions itself as the infrastructure layer for next-generation real-time AI video applications.
All time high fees from AI at Livepeer: The Cascade vision is officially paying off. Weโve evolved from streaming infra to powering real-time AI video, and Q3 network fees are up 3x year over year, with 72% now from AI processing ๐
Livepeer Launches Real-Time AI Video at 50-80% Lower Cost Than Cloud Providers

Livepeer has launched real-time AI video processing capabilities, offering significant cost savings of 50-80% compared to traditional cloud services. **Key Features:** - Real-time video-to-video AI processing now available - Built on decentralized infrastructure - Open source and community-powered **Try It Now:** Users can test the technology through [Daydream Live](https://daydream.live), an application built on Livepeer's infrastructure that demonstrates real-time video AI capabilities. The launch represents a practical application of decentralized video infrastructure, making AI video processing more accessible through lower costs while maintaining real-time performance.
Real-Time AI Video Infrastructure Reaches Mainstream Adoption
The real-time AI video category has matured significantly over two years. Current applications include: - Avatar streaming - Live style transfer - Instant video analysis - Adaptive content generation The technical challenge extends beyond model development. **DaydreamLiveAI** has addressed infrastructure requirements, achieving 20+ FPS with full creative control and no retraining needed. The trajectory suggests camera-enabled applications will soon integrate AI models operating below human perception thresholds for latency. This represents a shift from AI video as specialized technology to standard infrastructure across consumer applications.
Livepeer Releases LISAR SPE Update with Enhanced Community Node Features
Livepeer has released new **LISAR SPE release notes** following the successful LiveInfra SPE proposal that passed in July. The update enhances the **Community Arbitrum Node**, providing developers with: - Free, reliable RPC access - Improved uptime and redundancy - Better overall performance This development strengthens Livepeer's commitment to **public goods** and improving the developer experience for builders in the ecosystem. [Read the full release notes](https://forum.livepeer.org/t/lisar-spe-release-notes/3159)
๐ Lisar Nears Public Launch After Beta Testing
The **Lisar team** has completed key development milestones ahead of their public launch: - โ **Closed beta testing** - Full lifecycle review completed - โ **Live Transparency Dashboard** - Real-time community visibility now active The team is now preparing for **public launch mode**, marking a significant step forward for the project. This progress demonstrates steady development momentum as Lisar moves closer to broader availability.