你可以在区块链上存储多少数据？

MetaCatОпубліковано о 2022-12-15Востаннє оновлено о 2022-12-15

Анотація

比特币和以太坊存储的数据非常少；但 Arweave、Filecoin 等其他区块链专为下一代数据存储而构建。

随着区块链技术的最新进展，人们想知道这项技术可以解决哪些现实问题。区块链似乎准备颠覆的一个领域是数据存储。

区块链上可以存储多少数据？存储在区块链上的数据从兆字节 (MB) 到拍字节 (PB) 不等，具体取决于区块链。最流行的区块链：比特币和以太坊，存储的数据非常少。但 Arweave、Filecoin、Storj 和 Sia 等其他区块链是专为下一代数据存储而构建。

在这篇文章中，我们将探讨如何使用区块链来存储数据以及它们必须拥有的数据容量。

第一个区块链：比特币和以太坊数据存储

比特币数据存储

比特币区块链经常因其安全性和透明度而受到称赞。比特币网络上发生的每一笔交易都不可篡改地记录在区块链上。这意味着你可以回头查看在比特币网络上进行过的每一笔交易。

但是比特币适合数据存储吗？虽然比特币忠实地记录了发生在其上的所有交易的公开分类账，但这需要相对较少的存储量。

实际上，比特币区块链在数据存储方面效率不高。这是因为记录在区块链上的每一笔交易都必须经过网络验证才能添加到链上。这个验证过程需要大量的计算能力和处理时间。因此，比特币区块链目前每秒只能存储大约四笔交易。

虽然有些人在比特币上隐藏了秘密信息 [1]，但它不是用于存储重要数据的地方。

截至 2022 年 12 月，比特币区块链上存储了 440 GB 的数据。为了比较起见，Dropbox 为其初始个人帐户提供了 2 GB 的存储空间。

以太坊数据存储

以太坊区块链是数字货币、全球支付和应用程序的家园。该社区已经建立了蓬勃发展的数字经济，为创作者提供了大胆的在线赚钱新方式，并继续走在计算机科学创新的前沿。

以太坊还支持数据存储。与比特币不同，以太坊对其区块大小没有限制。这意味着以太坊区块链理论上可以处理无限数量的交易。

但是，与比特币一样，它不是存储数据的好地方。高昂的 gas（交易）费用和高昂的存储成本使其对大多数用户来说不切实际。2022 年 2 月，在以太坊上存储 500KB 的数据就需要 20,000 美元 [2]。

以太坊的主要目的是记录金融交易和所有权变更——而不是数据存储。

截至 2022 年 12 月，以太坊区块链的大小为 1055 GB。同样，这比前面提到的 Dropbox 上的个人帐户空间要少得多。

总而言之，比特币和以太坊不适合大量数据存储。但是其他可用的区块链选项更适合数据存储。让我们看看一些专注于存储的区块链以及它们可以容纳多少。

其他区块链上的数据存储

随着比特币和以太坊的技术突破，开发人员将目光转向使用区块链技术存储大量数据只是时间问题。

他们为什么不呢？必须有一个分散的、低成本的、不可变的数据存储市场，对吧？

到 2010 年代中期，人们开始投入大量精力创建区块链，使大量数据的存储具有成本效益。这些努力产生的主要区块链是 Arweave、Filecoin、Storj 和 Siacoin。

总存储容量（这些区块链可以容纳的数量）达 25 亿 GB ，或换句话说，是当今互联网大小的几倍。同样，每个人都可以从小到大上传文件。

让我们来看看这些区块链，看看每个区块链上可以存储多少数据。

你可以在这些区块链上存储多少？

存储空间的主要参与者是 Filecoin 和 Arweave。Filecoin（如 Siacoin 和 Storj）基于类似于亚马逊或谷歌提供的每月订阅费，而 Arweave 提供一次性的永久存储费用。

让我们看看这两个选项，看看它们在存储方面提供了什么。

Filecoin

Filecoin 是一个去中心化的存储网络，用户向矿工付费以将他们的文件存储在世界各地的服务器和节点上。Filecoin 目前是最大的去中心化网络。

Filecoin 的主干是 IPFS（InterPlanetary File System），它是一种点对点的分布式文件系统，允许用户以去中心化的方式存储和共享数据。Filecoin 建立在 IPFS 之上，并将其用作数据存储层。

将文件上传到 Filecoin 的付费方式是通过类似于亚马逊或谷歌的订阅服务。最终，Filecoin 旨在与 Amazon S3 和 Microsoft Azure 等中心化存储提供商竞争，并且很可能必须成为低成本的存储生产商才能生存。

Filecoin 的容量是多少？Filecoin Network 已达到 18 exbibytes (EiB) 的数据存储能力。

你可以将多大的文件上传到 Filecoin？每个文件 64GiB 或 68,182,605,824 字节。

如果你的数据集太大怎么办？你可以对超过 64 GiB 的数据集进行离线存储传输。

Arweave 开发了一个区块链来提供永久存储

Arweave

Arweave 是一种去中心化存储协议，它以可通过一次付费，持续和永久的存储数据，允许用户和开发人员真正永久地存储数据——这是第一次。

Arweave 是一个去中心化网络，允许任何人永久和安全地存储数据。它旨在抗审查，并允许用户上传任何大小的文件。

Arweave 有一种新颖的收费模式，该模式为存储成本提供永久资金。这意味着用户只需要支付一次性费用就可以将数据永久存储在 Arweave 上。

Arweave 已经在其区块链上存储了超过 110 TB 的数据，使其成为数据存储方面最大的区块链。你可以在此处 [3]查看所有 Arweave 上传统计数据。

如果你正在寻找更适合长期数据存储的区块链选项，Arweave 是一个不错的选择。

Arweave 上可以存储多少数据？Arweave 对可以存储的数据量没有限制。

Arweave 上文件的大小限制是多少？Arweave 上的文件没有大小限制，但您可能会受到用于将文件放到 Arweave 上的工具或应用程序的限制。

我如何使用 Arweave？有许多应用程序正在 Arweave 上构建，以帮助人们将他们的文件放到网络上。查看 ardrive.io 或 arweave.net 寻求帮助。

arweavefees.com 上显示的动态价格

Трендові криптовалюти

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

ZRX（0X）ZRX

PancakeSwapCAKE

Пов'язані матеріали

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbit8 хв тому

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbit8 хв тому

Beyond the Stadium: The Profitable Games Surrounding the World Cup

"Beyond the Pitch: The Profit Game Around the World Cup" The FIFA World Cup transcends being a sporting spectacle, evolving into a massive global arena for speculation and profit-seeking. The 2026 tournament has amplified this dynamic, creating a multi-layered ecosystem of financial opportunism alongside the football. **Prediction markets** have surged into the mainstream. Platforms like Polymarket and Kalshi saw trading volumes for World Cup contracts soar, attracting new users with their financial trading model and high-profile, chain-based wealth stories that overshadow traditional sports betting in terms of growth and narrative. However, **traditional sportsbooks** remain the dominant force, leveraging established user habits, legal markets, and comprehensive product offerings to handle the vast majority of speculative wagers, with projections suggesting record-breaking betting volumes. Capital markets also react. **"Concept stocks"** in countries like South Korea and Japan experience volatile price swings based on team performance and anticipated fan spending on items like chicken, beer, and viewing parties, effectively becoming a stock market reflecting fan sentiment. The **ticket resale market** has become a sophisticated arena for arbitrage. Prices fluctuate wildly based on team draws and star power, with sellers sometimes listing tickets they don't yet own in a practice akin to short-selling, while FIFA's own "Right to Buy" tokens add another layer of speculative trading. **Collectibles and merchandise** offer another avenue. Panini sticker albums, with their inherent scarcity and nostalgic value, can become high-value collectibles. Limited-edition or locally themed jerseys command significant premiums on secondary markets, and even counterfeit vendors profit from fans' desire for affordable match-day identity. The **cryptocurrency** space has seen a frenzy of speculative, unauthorized World Cup-themed meme coins on chains like Solana. These tokens, often exploiting team names and player imagery, experience extreme pump-and-dump cycles, creating stories of massive gains for a few early entrants and steep losses for many others. Finally, an entire industry thrives on **providing information and tools** to other speculators. Developers create platforms like SeatSidekick to track ticket inventory and prices, while paid Telegram groups and subscriptions sell betting tips and predictions, monetizing the widespread desire for an informational edge. In essence, the World Cup has become a compressed, global laboratory for speculation. While the games determine champions on the field, a parallel, complex network of financial transactions—spanning prediction contracts, bets, stocks, tickets, collectibles, crypto, and information services—settles its own scores in the global market.

marsbit49 хв тому

Beyond the Stadium: The Profitable Games Surrounding the World Cup

marsbit49 хв тому

Hyperliquid ETF Claim Draws Attention As HYPE Narrative Builds On X

A social media claim has brought attention to Hyperliquid (HYPE) and the growth of its related ETF products. According to a June 20 post on X by AlphaOnChain, three Hyperliquid ETFs launched in May 2026 have collectively amassed $158 million in assets under management, led by a Bitwise fund with $88 million and a 21Shares fund with $66 million. The article notes this claim is from social media and not verified by official issuer data, advising caution. Nonetheless, the report highlights that HYPE is gaining traction as a notable altcoin narrative. Its focus on on-chain perpetual trading and exchange infrastructure places it at the intersection of DeFi and derivatives, attracting traders looking for high-conviction plays beyond Bitcoin and Ethereum. The key takeaway is that while social momentum can influence short-term markets, sustainable growth for HYPE would require confirmed demand, liquidity, and continued ecosystem development.

bitcoinist2 год тому

Hyperliquid ETF Claim Draws Attention As HYPE Narrative Builds On X

bitcoinist2 год тому

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbit2 год тому

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbit2 год тому

The "Iron Rule" of Chip Equipment Is Being Broken

For years, the semiconductor equipment industry followed an unwritten "iron rule": suppliers offered steep discounts for new tool introductions (Design-in) and faced consistent price pressure during repeat orders, especially during market downturns. This long-standing buyer's market dynamic is now being upended. Recently, SK Hynix's primary equipment suppliers have reportedly requested a 3-4% price *increase*, a nearly unprecedented move. This shift is driven by a severe supply-demand imbalance fueled by the AI compute boom. Securing equipment has become an urgent arms race as chipmakers' expansion speed dictates their ability to fulfill massive AI chip orders. Key areas feeling the strain include: **TCB (Thermal Compression Bonding) Equipment:** Demand is exploding, driven by the simultaneous needs of HBM4 memory stacking, AI chip Chip-on-Substrate (C2S), and logic Chiplet Chip-on-Wafer (C2W) packaging. Players like Hanmi Semiconductor, Hanwha Semitech, and ASMPT are receiving major orders. While hybrid bonding is seen as the future, TCB remains the pragmatic choice for HBM4 mass production, with its lifecycle extended by relaxed specifications and ongoing technological upgrades. **Test Equipment Bottlenecks:** Ironically, AI-driven shortages are now crippling test equipment manufacturing. Critical components like FPGAs, Driver ICs, and CPUs face severe shortages and extended lead times (up to 52 weeks for FPGAs), as AI data center and server vendors prioritize supply. This creates a paradoxical cycle: AI chip shortages drive fab expansion, which requires more test equipment, whose production is delayed because its key parts are diverted to make AI chips. The industry is entering a broad, AI-powered upcycle. SEMI forecasts global semiconductor equipment sales to hit a record $156 billion by 2027, fueled by investment in advanced logic/foundry, HBM-driven DRAM, and advanced packaging (like CoWoS). Major players like TSMC, SK Hynix, and Micron are aggressively ramping capital expenditure. In conclusion, leading equipment vendors are no longer just selling tools; they are selling the critical capability to deliver AI-era capacity. Pricing power is shifting decisively to those with indispensable technology in key process nodes like advanced logic, HBM, and advanced packaging, rewriting the industry's traditional power structure.

marsbit2 год тому

The "Iron Rule" of Chip Equipment Is Being Broken

marsbit2 год тому

Торгівля

Спот

Ф'ючерси

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни AR (AR).

你可以在区块链上存储多少数据？

Анотація

Трендові криптовалюти

Пов'язані матеріали

Is the 'Token Subsidy War' Among AI Giants Almost Over?

Beyond the Stadium: The Profitable Games Surrounding the World Cup

Hyperliquid ETF Claim Draws Attention As HYPE Narrative Builds On X

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

The "Iron Rule" of Chip Equipment Is Being Broken

Торгівля

Популярні статті

Як купити AR

Обговорення