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構建分散的視頻應用(例如Twitch或Tiktok)需要現場和按需視頻流基礎架構。基於用戶的帶寬和設備,需要將視頻內容(即,轉碼)處理為可見格式。儘管AWS,Google或Microsoft等雲提供商是視頻轉編碼的常見解決方案,但它們會產生高昂的成本。
Livepeer Q4 2024 Brief
LivePeer Q4 2024簡介
Performance Analysis
績效分析
Demand for Livepeer services comes from apps and developers needing video transcoding, live-streaming, and video generation capabilities. This includes decentralized social media (DeSoc) applications, Web3-native platforms, and traditional Web2 applications requiring scalable video infrastructure. While platforms like TikTok, Twitch, Spotify, or SoundCloud rely on centralized infrastructure for streaming, similar applications in the Web3 space — such as decentralized video platforms, music streaming apps with tokenized incentives, or NFT-based media platforms — could leverage Livepeer’s decentralized video streaming and transcoding services.
對LivePeer服務的需求來自應用程序和需要視頻轉編碼,實時流程和視頻生成功能的開發人員。這包括分散的社交媒體(DESOC)應用程序,Web3本地平台以及需要可擴展視頻基礎架構的傳統Web2應用程序。雖然Tiktok,Twitch,Spotify或SoundCloud等平台依靠集中式基礎架構來流式傳輸,但在Web3領域中的類似應用程序(例如分散的視頻平台,具有標記激勵措施的音樂流式應用程序),或者基於NFT的媒體平台- 流和轉碼服務。
Network
網絡
Livepeer’s network usage can be gauged by estimating the number of minutes of video transcoded.
可以通過估計轉碼的視頻分鐘數來衡量LivePeer的網絡使用情況。
Livepeer’s transcoding network usage increased by 10% QoQ, rising from 32 million in Q3 to 35 million in Q4 2024, and saw a 15% YoY increase from 30 million in Q4 2023. This growth was likely driven by AI-powered video processing advancements, real-time streaming enhancements, and expanding developer adoption.
LivePeer的轉碼網絡使用率增加了10%QOQ,從第三季度的3200萬增加到2024年第四季度的3500萬,比2023年第四季度的3000萬次增長了15%。這種增長可能是由AI驅動的視頻處理的進步,,,,視頻處理的進步驅動。實時流的增強功能,並擴大開發人員的採用。
A key driver was the Livepeer AI SDK launch in Q4 2024, which enabled AI-powered media generation such as image-to-video, upscaling, and AI-enhanced text processing, increasing video processing demand. The introduction of Cascade further accelerated adoption by shifting from batch AI processing to real-time AI video enhancements, supporting AI-driven livestream analytics, automated video agents, and interactive avatars, significantly increasing transcoding workloads.
一個關鍵驅動力是第4季度2024年的LivePeer AI SDK啟動,該啟動啟用了AI驅動的媒體生成,例如Image-to-video,topscaling和ai-hehanced文本處理,從而增加了視頻處理需求。通過從批處理AI處理轉移到實時AI視頻增強功能,支持AI驅動的直播分析,自動化視頻代理和交互式化身,從而引入了級聯進一步加速採用,從而大大增加了轉碼的工作量。
Additionally, Livepeer’s partnership with Fishtank, an interactive streaming platform, played a role in sustaining growth. After reaching one million viewers and generating $3 million in revenue in Q3 2024, Fishtank’s continued use of Livepeer Studio in Q4 reinforced Livepeer’s position as a leading decentralized video infrastructure provider.
此外,LivePeer與互動流媒體平台Fishtank的合作夥伴關係在維持增長方面發揮了作用。在2024年第三季度吸引了100萬觀眾並產生了300萬美元的收入之後,Fishtank繼續使用LivePeer Studio在第四季度加強Livepeer作為領先的分散視頻基礎設施提供商的地位。
Fees from Transcoding
轉碼的費用
Services using the Livepeer network pay demand-side fees in ETH to access transcoding services. Node operators (orchestrators) earn these fees for processing video and distribute a portion to their delegators based on their fee-sharing structure. The likelihood of receiving transcoding work is influenced by stake weight; orchestrators with higher stake are prioritized for more work, leading to greater earnings in transcoding fees. This system incentivizes both node operators and delegators, reinforcing network participation and security.
使用LivePeer網絡的服務付費在ETH中支付需求側費用來訪問轉碼服務。節點運營商(編排者)根據收費結構賺取這些費用,用於處理視頻並將部分分配給代表人。接受轉碼工作的可能性受危險體重的影響;優先考慮具有較高股份的編排者,以進行更多的工作,從而獲得更高的轉碼費用收入。該系統激勵節點運營商和代表人,從而加強網絡參與和安全性。
Livepeer’s demand-side fees from transcoding increased 18% QoQ, rising from $62,000 in Q3 2024 to $73,000 in Q4 2024, and saw an 8% YoY increase from $68,000 in Q4 2023, aligning with overall usage growth. This higher-than-expected fee growth compared to usage was likely influenced by Ethereum’s price surge in Q4 2024, which increased approximately 11%.
LivePeer的需求側費用從轉碼量增加了18%的QOQ,從2024年第三季度的62,000美元上升到第4季度2024年的73,000美元,從2023年第四季度的68,000美元增加了8%的增長,與整體使用率增長相符。與用法相比,這種高於預期的費用增長可能受到以太坊在2024年第四季度的價格上漲的影響,大約增長了11%。
Since transcoding fees are often denominated in ETH, the rise in Ethereum’s value elevated the USD-equivalent fees collected on Livepeer, contributing to the strong 18% QoQ growth.
由於轉碼費用通常以ETH為特徵,因此以太坊價值的上升提高了Livepeer收集的美元當量費用,這導致了強勁的18%QOQ增長。
Fees from Livepeer AI
Livepeer AI的費用
According to Messari's report, Livepeer’s AI Subnet, launched in Q3 2024, marked its expansion beyond transcoding by enabling AI-powered video generation using its GPU-based compute infrastructure. In Q4 2024, this evolution continued with Cascade, introducing real-time AI video processing for applications like automated video agents, live analytics, and AI-enhanced content creation. These advancements position Livepeer as a decentralized media compute provider, extending its role beyond traditional video transcoding.
根據Messari的報告,LivePeer的AI子網於第3季度2024年推出,標誌著其擴展,通過使用其基於GPU的計算基礎架構啟用AI驅動視頻生成,超越了編碼。在第4季度2024年,這種演變繼續以級聯的速度進行,為自動化視頻代理,實時分析和AI-增強內容創建等應用程序引入了實時AI視頻處理。這些進步位置LivePeer作為分散的媒體計算提供商,將其角色擴展到傳統視頻轉編碼之外。
In the Livepeer AI ecosystem, tickets and fees represent the economic framework for compensating node operators performing AI-powered video processing. Winning tickets are issued as part of Livepeer’s probabilistic micropayment system, allowing operators to redeem them for ETH-based fees. These fees reflect demand for AI workloads, making them a key indicator of AI adoption and network revenue.
在LivePeer AI生態系統中,門票和費用代表了補償節點運營商執行AI驅動視頻處理的經濟框架。獲獎門票是作為Livepeer概率微債系統的一部分發行的,使運營商可以兌換基於ETH的費用。這些費用反映了對AI工作負載的需求,使其成為AI採用和網絡收入的關鍵指標。
In Q3 2024, Livepeer AI usage generated $15,000 in fees, accounting for 24% of the network’s total transcoding fees, with 4,800 tickets issued at an average cost of $3 per ticket. However, in Q4 2024, AI-related fees dropped to $7,000 (10% of total transcoding fees), with ticket issuance falling 62% QoQ to 1,847 tickets, and overall fees declining 52% QoQ. Despite this drop, the price per ticket increased 25%, from approximately $3 to $4, suggesting a shift toward higher-value AI workloads rather than a pure decline in demand.
在2024年第三季度,LivePeer AI的使用產生了15,000美元的費用,佔該網絡總轉碼費用的24%,並以每張門票3美元的平均費用發行4,800張門票。但是,在第4季度2024年,與AI相關的費用下降至7,000美元(佔轉碼總費用的10%),票證發行量下跌62%QOQ至1,847票,總費用下降了52%QOQ。儘管有這種情況,但每張機票的價格從大約3美元到4美元上漲25%,這表明向高價值AI的工作量轉變而不是需求純粹下降。
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