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Livepeer Vision

The vision for Livepeer is to evolve from decentralized video infrastructure to become the open GPU network that powers real-time AI and world models, establishing itself as the AI infrastructure layer for an interactive, intelligent world.Core Pillars & Messaging Doug: “open video infrastructure” enabling next-generation applications in interactive media, AI training, and digital creativity.

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Core Mission

The network’s strategy is built upon a foundation of core value propositions and messaging pillars:
  • Core Pillars
    • Real-time Performance / Performance at Scale: Industry-standard low latency optimized for real-time video AI and media, enabling sub-second inference and proven scalability.
    • Cost Efficiency: Access to GPU compute at 5–10x lower cost through an open marketplace with transparent on-chain economics and a pay-per-use model.
    • Automagic Scalability: The ability to scale capacity up or down dynamically in real-time via an elastic network supply, smart routing, and incentivized idle GPU utilization.
    • Openness & Community: Permissionless, open-source, community-driven infrastructure that provides global access, on-chain verifiable compute, and rewards all participants.
NOTES ONLY BELOW HERE
  • Brand Essence & Messaging - Brand Essence: “Open video infrastructure for the AI-powered internet.” - Tagline/Slogan: “Powering open video for the AI era.” - Key Messages: The brand emphasizes a confident, clear, mission-driven, and builder-first tone with example language like: “Build real-time AI that runs at the speed of thought.” and “Compute without compromise.”

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Why Livepeer?

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Livepeer Offers

  • On-demand, open-access, real-time video broadcasting at a fraction of the price of cloud equivalents
  • On-demand, open-access AI pipelines

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Livepeer Advantages

  • 60% cheaper than cloud for video broadcasting
  • Built-in redundancy & network resilience (thanks to a distributed open access compute)
  • Lower latency (thanks to global distributed nodes - your neighbour might be running the compute you’re using!)
  • On-demand pricing - only pay for what you use - forever.
  • Open Software (forever - developers can rest easy knowing their businesses will never be at risk of APIs getting closed-sourced)
  • Verifiable and auditable jobs (which AI loves)
  • Permissionless, open network - you don’t need to talk to sales to try it out or join the innvoation economy

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Key Achievements

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2016-2017
  • Doug Petkanics and Eric Tang found Livepeer
  • Mission: decentralize the hardest layer of video infrastructure: transcoding - using crypto-economic incentives.
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2018
Network Launch
  • Livepeer protocol launches on Ethereum.
  • First decentralized marketplace for video transcoding goes live.
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2019-2020
  • Network proves it can deliver lower-cost, reliable transcoding at scale.
  • Orchestrator + delegator model stabilizes supply and quality.
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2021
  • Major platforms and apps use Livepeer for production workloads.
  • Livepeer Inc. productizes access (APIs) while the network keeps running permissionlessly.
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2022
  • Livepeer doubles down on video-native infra, resisting the “generic GPU cloud” path.
  • Early exploration of video + ML workloads.
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2023
  • Livepeer introduces AI-first gateways, combining video & AI workloads.
  • First real-time AI video pipelines demonstrated on the network.
  • Founders outline a vision for AI-first infrastructure.
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2024
  • Public articulation of Livepeer’s shift to real-time AI video infrastructure (“Cascade”).
  • Orchestrators upgrade hardware; inference becomes a first-class workload.
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2025
  • Livepeer Foundation launched to steward the network’s long-term growth.
  • First Special Purpose Entities (SPEs) formed: AI SPE, Cloud SPE.
  • Daydream launches (real-time AI video creation).
  • ComfyStream / ComfyUI integration enables visual, real-time AI workflows.
  • Majority of network fees now driven by AI inference, not just transcoding.
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2026
  • Livepeer recognized as the open, real-time AI layer for video.
  • Differentiation is clear: low-latency streaming + AI inference at scale, powered by a decentralized GPU network.