Цена AIOZ NetworkAIOZ

#AIOZ is looking primed for a solid 3x move. Recommended Entry: $0.2877 – $0.3300 Best Entry: On a retest… but will we get that perfect pullback? Maybe not. That’s why we DCA in smartly with low leverage and strong risk management. Stop Loss :- 0.2633 Reminder: Always place a stop-loss. It’s not optional it’s crucial. #Crypto

Rug pulls may have happened less often so far in 2025, but the financial damage they’re causing has increased dramatically, according to blockchain analytics firm DappRadar. Their report shows just seven incidents recorded this year – that’s down 66% compared to 21 rug pulls seen in the same period last year. But that huge loss figure is staggering – nearly $6 billion compared to just $90 million early last year. And the vast majority of this year’s damage, about 92%, is linked to the Mantra Network project, which faces accusations of pulling off one of the largest rug pulls ever. Mantra’s founders, however, have denied these claims. The Mantra Network incident really highlights this costly trend. The project ran on the Polygon blockchain and was listed on DappRadar. It saw a sharp jump in on-chain activity around mid-April, just before the alleged rug pull. Related: Cardano’s Hoskinson Sparks Controversy Over Meme Coin Rug Pull Incident During that mid-April period, key metrics like unique active wallets (UAW), transaction count, and volume all increased. According to DappRadar’s data, transaction volume hit almost $800 then, its highest point since December 2023. This mid-April activity surge stands in contrast to Mantra’s usual pattern. Its activity was typically low, aside from isolated spikes back in December, when volume topped $2,000 and UAW hit about 65, and another spike last June. There was no steady upward trend seen until that burst of activity in mid-April. This incident also reflects a shift in where these scams are happening. Data shows that in early 2024, rug pulls were spread more evenly across DeFi, NFT, and memecoin projects. But the incidents recorded in 2025 have focused mainly on the memecoin sector. While this narrows the focus of the threat, the effectiveness of these scams appears higher. Related: L1 Tokens Post 7,000% Growth in 2024, Led by Mantra, AIOZ, and SUI And it’s not just the targets changing; the tactics are evolving too. According to the report, scam teams are using better branding and more structured stories, making risks harder to spot early on. DappRadar analysts noted rug pulls are less frequent now, but more damaging and harder to detect. Disclaimer: The information presented in this article is for informational and educational purposes only. The article does not constitute financial advice or advice of any kind. Coin Edition is not responsible for any losses incurred as a result of the utilization of content, products, or services mentioned. Readers are advised to exercise caution before taking any action related to the company.

We've compared the leading decentralized compute projects: Render, Chutes (Bittensor), Aethir, IOnet, AIOZ, Akash, Phala, Nosana, AO, and NodeAI. Each was evaluated on market cap, FDV, and reported compute capacity (GPU/CPU). An FDV/unit metric was calculated to estimate cost per unit of compute: the lower the metric, the cheaper the project. AIOZ currently appears cheapest on this metric. Chutes ranks among the most expensive. However, reported capacity figures in this sector are often unreliable. IOnet, for example, once listed over 2M units, later revised to ~6K. This raises questions about large capacity claims from Aethir, AIOZ, and Phala. Phala’s data seems more grounded, but there's still some uncertainty. When balancing cost, transparency, and technical progress, Akash stands out. It's one of the cheaper options after AIOZ, Aethir, and Phala, and recently integrated TEE, previously a key differentiator for Phala. Also, the team has a solid track record. One concern: Akash currently has only 64 providers, which may suggest centralisation risk if capacity is concentrated. Still, among this group, Akash offers one of the strongest overall profiles. Researcher: @ItsCryptoNas.

short aioz high risk.. but rewarding.. tp: 0.355-0.36

Global developers solve contemporary computing problems through decentralized networks including Bittensor, NEAR Protocol, AIOZ Network and Render Network. The platforms leverage blockchain technology to provide next-generation instruments for machine learning combined with content distribution and 3D rendering operations. Consequently, a growing number of tech experts explore these systems to create efficient, scalable applications. Current price :$429.37 Market cap:$3.61B Bittensor leads the charge with its decentralized machine learning network, rewarding developers with TAO tokens for valuable contributions. Programmers train models together, tapping into a shared pool of intelligence. This approach draws attention from those seeking cost-effective AI solutions without centralized control. Current price: $3.31 Market cap:$3.93B NEAR Protocol attracts developers with its user-friendly design, swapping complex wallet addresses for simple account names. The platform tackles slow transaction speeds and limited scalability, common headaches in other blockchains. Besides, its Doomslug consensus mechanism ensures smooth operation, appealing to creators of everyday decentralized apps. Current price: $0.4160 Market cap:$482.95M AIOZ Network maintains momentum through its extensive use of decentralized systems that optimize video streaming framework and storage operations. The connection between Ethereum and Cosmos enables developers to access affordable fees and adjustable smart contracts. Additionally, the platform rewards users who share resources, sparking interest in its live streaming capabilities. Current price: $3.96 Market cap:$2.05B Render Network connects artists with node operators, offering fast GPU-based rendering through a peer-to-peer system. This setup cuts costs and boosts efficiency for 3D projects. Moreover, developers build new tools on the platform, eyeing its potential for digital economy applications. DISCLAIMER: The information on this website is provided as general market commentary and does not constitute investment advice. We encourage you to do your own research before investing.