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Akash(AKT)是一個分散的雲計算市場,可促進計算資源的買賣。
00. Active leases also rose 26% QoQ to reach 875 daily leases on average. These metrics indicate a strong demand for Akash’s decentralized cloud services, driven by key initiatives such as NVIDIA’s acquisition of Brev.dev and Akash’s expansion into Latin America.
00。主動租賃也增加了26%的QOQ,平均每天達到875個租賃。這些指標表明,在Nvidia收購Brev.dev和Akash擴展到拉丁美洲等關鍵計劃的推動下,對Akash的分散雲服務的需求很大。
Akash’s compute resource utilization saw notable shifts, with a 428% YoY increase in GPU usage and a 214% YoY rise in RAM usage. This reflects a growing preference among users for deploying AI and machine learning workloads on Akash's decentralized infrastructure. Despite a decline in storage usage, capacity continued to expand, ensuring Akash remained equipped to handle diverse workloads.
阿卡什(Akash)的計算資源利用率顯著轉移,GPU使用率增加了428%,RAM使用率增長了214%。這反映了用戶在Akash的分散基礎架構上部署AI和機器學習工作負載的日益偏好。儘管存儲使用率下降,但產能仍在繼續擴展,確保Akash仍然能夠處理各種工作量。
The network also saw a steady increase in active providers, rising 11% QoQ to reach 67 providers. This growth was fueled by the Provider Incentives Pilot 2 program, which aimed to onboard advanced GPUs and expand Akash’s capacity for high-performance computing.
該網絡還看到了活躍提供者的穩定增長,增長了11%的QOQ,達到了67個提供商。提供者激勵措施2計劃促進了這種增長,該計劃旨在登上Advanced GPU並擴大Akash的高性能計算能力。
On the token front, AKT’s market capitalization increased 26% YoY to reach $692 million, while the total staked AKT decreased by 11.0% QoQ. The staking ratio also dropped from 55% to 47% of the circulating supply, reflecting adjustments in network incentives or strategic reallocation of assets by validators and delegators.output: Key Insights
在令牌方面,AKT的市值增長了26%,達到了6.92億美元,而總固定AKT的AKT降低了11.0%QOQ。放電率也從循環供應量的55%下降到47%,反映了驗證者和委託人對資產的調整或資產的戰略重新分配。輸出:關鍵見解
Primer
底漆
Akash (AKT) is a decentralized cloud computing marketplace that facilitates the buying and selling of compute resources. It is an open-source, permissionless protocol that provides an alternative to today’s centralized cloud services (i.e., AWS, Azure, and Google Cloud). Akash aims to leverage the global amount of underutilized server capacity, which can range from 5% to over 30%. The Akash marketplace functions via a reverse auction, giving users the ability to name a price and describe the resources they want for deployments. Akash’s decentralized network of compute providers runs its open-source software and competes to provide resources, often at a fraction of the cost of big cloud providers. Specifically, Akash hosts containers where users can run any cloud-native application (e.g., AI workloads, gaming servers, blockchain nodes, and websites). Akash offers extensive cloud management services like Kubernetes, which can be used for hosting and managing containers. Additionally, Akash supports decentralized AI applications such as Venice.ai, AkashChat, and AkashGen, reflecting its role in enabling AI infrastructure.
Akash(AKT)是一個分散的雲計算市場,可促進計算資源的買賣。這是一個開源,無許可的協議,為當今的集中式雲服務(即,AWS,Azure和Google Cloud)提供了替代方案。 Akash旨在利用全球數量未充分利用的服務器容量,範圍從5%到30%以上。 Akash Marketplace通過反向拍賣起作用,使用戶能夠命名價格並描述他們想要的部署資源。 Akash的分散計算提供商網絡運行其開源軟件,並競爭提供資源,通常是大雲提供商成本的一小部分。具體來說,Akash主機可以在該容器中運行任何云新應用程序(例如,AI工作負載,遊戲服務器,區塊鏈節點和網站)。 Akash提供了諸如Kubernetes之類的廣泛雲管理服務,可用於託管和管理容器。此外,Akash支持分散的AI應用程序,例如威尼斯。
Akash is a Tendermint-based blockchain built using the Cosmos SDK. Marketplace activity (requests, bids, lease details, etc.) is stored onchain and payments are settled with Akash’s native token (AKT). For a full primer on Akash, refer to our Initiation of Coverage report.
Akash是使用Cosmos SDK構建的基於Tendermint的區塊鏈。市場活動(請求,投標,租賃詳細信息等)被存儲在鏈上,並且與Akash的原始令牌(AKT)一起定居。有關Akash的完整入門,請參閱我們的覆蓋範圍報告。
Website / X (Twitter) / Discord
網站 / X(Twitter) / Discord
Key Metrics
關鍵指標
Usage and Provider Analysis
用法和提供商分析
Leases and Revenue
租賃和收入
Akash’s marketplace uses a reverse auction, in which users propose a bid that describes the resources they’d like to use for a deployment. When accepted, a lease is opened onchain managing the activity of this relationship.
Akash的市場使用反向拍賣,用戶提出了一個競標,描述了他們想要用於部署的資源。接受後,打開了租賃,以管理這種關係的活動。
New leases on Akash Network represent agreements between users and providers for renting computational resources. In Q4 2024, Akash recorded a 274% QoQ increase in new leases, rising from 16,000 in Q3 to 61,000 in Q4, and a 317% YoY growth compared to 15,000 in Q4 2023. This growth reflects the impact of key developments in Q3 and Q4 2024.
Akash網絡上的新租賃代表用戶與提供商之間的協議,用於租用計算資源。在2024年第四季度,阿卡什(Akash)的新租約QOQ增長了274%,從第三季度的16,000增加到61,000,而第4季度的增長率為317%,而第四季度2023年的增長率為15,000。 2024。
A key driver was NVIDIA’s acquisition of Brev.dev in Q3, which enhanced Akash’s GPU ecosystem and attracted enterprise users focused on AI and high-performance computing. In Q4, Akash’s expansion to three countries in Latin America supported regional adoption. The beta release of Akash Console 2.0 introduced fiat payments and free trials, reducing barriers for non-crypto-native users. Additionally, reduced take rates for uAKT (1%) and axlUSDC (2%) made leasing more affordable, while the launch of permissionless AI access to advanced models broadened Akash’s appeal to developers and researchers, further driving adoption.
NVIDIA在Q3中收購了Brev.dev,它增強了Akash的GPU生態系統,並吸引了專注於AI和高性能計算的企業用戶。在第四季度,阿卡什(Akash)擴展到拉丁美洲的三個國家支持地區採用。 Akash Console 2.0的Beta版本引入了菲亞特付款和免費試驗,從而減少了非透明用戶的障礙。此外,UAKT(1%)和AxlusDC(2%)的收入率降低,使租賃更加負擔得起,而無許可的AI訪問對高級模型的訪問則擴大了Akash對開發人員和研究人員的吸引力,進一步推動了採用。
Active leases on Akash represent ongoing agreements where users utilize and manage computational resources on the network. Leases remain active as long as they are in use and cease once closed. In Q4 2024, Akash Network’s average daily active leases increased 26% QoQ and 74% YoY, rising from 693 in Q3 to 875 in Q4. This growth was driven by strategic integrations, enhanced accessibility, and broader adoption across diverse workloads. Key partnerships, such as those with Sentinel Scout and Passage, introduced scalable and recurring use cases, including AI
阿卡什(Akash)上的主動租賃代表了正在進行的協議,用戶在網絡上利用和管理計算資源。只要使用並停止關閉,租賃就保持活躍。在第4季度2024年,Akash網絡的平均每日活動租賃增長了26%QOQ和74%的同比增長,從第三季度的693增加到第4季度的875。這種增長是由戰略一體化,增強的可訪問性以及在各種工作量中更廣泛採用的驅動的。關鍵合作夥伴關係,例如具有前哨偵察兵和通過的關鍵夥伴關係,引入了可擴展和反復出現的用例,包括AI
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