Solv Protocol serves as an on-chain Bitcoin reserve, offering BTC holders the opportunity to earn yield on their assets through SolvBTC and more.

 currently boasts a market capitalization of $1.96 trillion, solidifying its position as the world’s most valuable cryptocurrency. Yet, much of this BTC remains idle in investors' wallets, held for long-term gains. But what if there were a way to generate yield while 

ing Bitcoin? Enter Solv Protocol — a platform designed to maximize Bitcoin's utility by enabling users to earn staking and 

 (DeFi) yields on their BTC holdings. Let's dive in!

 serves as an on-chain Bitcoin reserve, offering BTC holders the opportunity to earn yield on their assets through 

 (WBTC) for SolvBTC, which can then be utilized in 

 (LSTs) across multiple chains. By integrating with BTC liquidity solutions, Solv Protocol bridges the gap between Bitcoin and DeFi. The platform currently boasts $2.7 billion in 

 (TVL), with nearly 26,000 BTC staked and over 590,000 users.

 is Solv's universal Bitcoin reserve token. Designed to unlock the full potential of over $1 trillion in BTC assets, SolvBTC ensures price stability with a direct 1:1 peg with Bitcoin. 

Users can mint the SolvBTC token by depositing either native Bitcoin or WBTC. Doing so provides them with an asset they can utilize to earn additional yield on their Bitcoin holdings via 

Through Solv DeFi vaults, you can utilize your Bitcoin in DeFi applications to generate yield and 

. Solv Protocol has integrated DeFi protocols from across 12 blockchains, enabling users to execute SolvBTC strategies ranging from lending and liquidity provision to staking and restaking.

SolvBTC LSTs establish the standard for all liquid staking tokens within Solv’s ecosystem. By staking SolvBTC in the form of an LST, you can earn staking rewards on your assets while maintaining liquidity. Since there’s no need to lock up your Bitcoin, you can generate additional yield on SolvBTC LSTs by depositing them to DeFi protocols. These liquid staking tokens can be unstaked at any time to access SolvBTC deposits and cash out staking rewards, and can be transferred seamlessly across multiple blockchains. Examples of SolvBTC LSTs include SolvBTC.BBN, SolvBTC.CORE, SolvBTC.ENA and SolvBTC.JUP.

How Does Solv's Staking Abstraction Layer (SAL) Work?

SAL is the core infrastructure underpinning Solv's ecosystem. As a unified interface for Bitcoin holders, it abstracts BTC staking's complexities across several blockchains. SAL provides users with a range of multichain yield-generating strategies, which they can execute while holding SolvBTC (a liquid representation of their BTC holdings). SAL integrates with different DeFi platforms and ecosystems, simplifying the process for holders who wish to diversify their yield strategies while keeping exposure to Bitcoin.

How Solv Protocol Enables Users to Earn Yield on Their Bitcoin Holdings

Solv enables users to participate in DeFi by providing a seamless entry point into staking for Bitcoin holders. This is in great contrast with BTC residing on the Bitcoin mainnet, which lacks native yield-generation properties. As mentioned above, with Solv Protocol users can swap their BTC for SolvBTC to earn staking rewards via SolvBTC LSTs and generate yield via DeFi protocols.

In addition to offering new opportunities for Bitcoin holders to maximize their earnings, Solv's platform also simplifies the BTC staking process and makes it accessible to more users. In addition, Solv is integrated with multiple blockchains — including Bitcoin, Ethereum, BNB Chain, Merlin Chain, Arbitrum, Botanix, Linea, Scroll and Core — unifying liquidity across these chains and enabling users to access cross-chain yield opportunities with minimal effort through SolvBTC.

Solv Protocol maintains a transparent Proof-of-Reserve (PoR) system to ensure SolvBTC's 1:1 peg with BTC. These on-chain reserves can be publicly verified by anyone, with Solv featuring completed security audits from Quantstamp, CertiK, SlowMist, Salus and Secbit.

Solv's ecosystem consists of the following key players.

Solv Protocol offers an innovative solution for BTC holders seeking to maximize their assets’ utility beyond long-term investment. By bridging the gap between Bitcoin and DeFi, Solv empowers users to maintain liquidity while they earn rewards through staking and via LSTs. 

With its seamless multichain integrations and transparent 

 (PoR) system, Solv Protocol simplifies BTC yield generation, making it accessible to a broader audience and unlocking Bitcoin's full potential.

You can also earn rewards with Solv Protocol on 

 through Jan 20, 2025, 10AM UTC. Simply stake Solana (SOL) tokens as Bybit Staked SOL (bbSOL), and you can win a share of 1.3 million native Solv Protocol (SOLV) tokens. Don't miss this exciting opportunity to maximize your holdings — 

Intermediate

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Solv Protocol: Earn Diverse Yields Through Bitcoin Staking

Ethena Labs unveiled its 2025 roadmap on January 3, highlighting a Telegram app for payments and savings using its sUSDe stablecoin, aiming to offer a "neobank experience." 

Daily Top Performer — Injective Protocol (INJ)

The S&P 500 gained 1.26% Friday, led by tech stock rallies. Coindesk Indices, an index measuring broader cryptocurrency market performance was down by 0.24%, with Bitcoin and Ether dropping by 0.22% and 0.35%, respectively in the past 24 hours.

Today's top performer is INJ, which surged 6.9% following the approval of Injective's $INJ 3.0 proposal to drastically reduce token supply.

Injective Protocol (INJ), launched in 2018, is a Cosmos-based DEX with cross-chain trading, using an order book model for efficiency. INJ tokens power governance, staking, and trading fees. Injective's governance proposal for $INJ 3.0 

 with 99.99% approval, initiating a new phase to significantly reduce token supply and make $INJ highly deflationary.

Check Out the Latest Prices, Charts, and Data of 

, highlighting a Telegram app for payments and savings using its sUSDe stablecoin, aiming to offer a "neobank experience." The app allows users to manage sUSDe for savings and payments, including Apple Pay integration. Ethena’s goal is to rival Tether by evolving into Ethena Network, a platform for on-chain financial innovation. Key projects include Ethereal, a perpetual and spot exchange, and Derive, an on-chain protocol for options. The roadmap also emphasizes dollars as the backbone of DeFi and the expansion of stablecoin-based products using sUSDe.

Between December 30, 2024, and January 3, 2025, BTC Spot ETF flows showed significant fluctuations. GBTC saw total outflows of $167.2M, while non-GBTC investments experienced inflows of $423.2M, resulting in a net inflow of $256.0M for the period. Notable activity included a large non-GBTC inflow of $908.1M on January 3, 2025, despite earlier outflows on December 30 and January 2. Cumulatively, GBTC has recorded outflows of $21.5B, while non-GBTC investments have attracted $57.4B, yielding a net inflow of $35.9B to date.

" and is currently offering a waitlist. Users can claim their Human role on Discord by joining the server and adding their Human ID. Additionally, daily RWT claims are redeemable for H tokens at TGE. The farming process is free, so don't miss out!

Beginner

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Ethena Labs Reveals 2025 Roadmap with Telegram Payments, sUSDe Integration, and DeFi Innovations

Find out more about AI Rig Complex (ARC), an advanced AI agent framework built in the Rust programming language.

Artificial intelligence (AI) isn’t going away anytime soon, and crypto protocols have started embracing it more and more. 

AI Rig Complex (ARC) is an advanced AI agent framework built in the Rust programming language. It goes beyond the capabilities of traditional AI systems, enabling applications to comprehend and react to human desires and contexts naturally. 

Through its modular and scalable architecture, ARC is redefining the way developers approach AI in a blockchain environment. Whether it’s integrating large language models (LLMs) for intuitive interaction or leveraging Rig Framework's innovative design, AI Rig Complex stands at the intersection of AI and decentralization.

This article explores the foundational elements of ARC, its technological framework and its future potential in the AI and 

 frameworks are rapidly evolving platforms that can improve the way humans interact with technology, particularly with regard to crypto and the broader 

 realm. These frameworks enable applications to perform tasks autonomously, moving beyond simple automation to workflows driven by natural language processing and decision-making processes.

The adoption of agents in real-world applications has surged this year, with developers increasingly integrating them into workflows. For instance, the percentage of LLM-app developers using agents on 

 jumped from 7% to 43%, highlighting their growing utility. Enterprises are focusing on automation and simplification, particularly within customer service, IT, marketing and software development workflows.

Large companies, such as Microsoft AutoGen, Phidata and LangGraph, are also advancing open-source frameworks, demonstrating broader potential beyond crypto. As the market matures, differentiation will be critical. Key characteristics, such as modularity, extensibility and integrations, are becoming essential, while advanced features like 

 (RAG) allow agents to incorporate new information seamlessly into conversations.

 represents a cutting-edge evolution in AI frameworks that’s designed to transcend the limitations of traditional chatbots. While many AI systems excel at executing basic tasks, ARC focuses on creating applications that understand and adapt to human desires and contexts in a far more intuitive manner. Its goal is to make software interactions seamless, contextual and human-like, paving the way for more meaningful engagements between users and AI systems.

At the heart of ARC is Playgrounds, a powerful platform that serves as the foundation for building and experimenting with AI applications. Playgrounds combines a unified interface for multiple LLMs with advanced AI workflow abstractions, enabling developers to implement sophisticated setups like RAG and multi-agent frameworks.

Powered by Rust, ARC offers unmatched performance, safety and scalability. Features ranging from type-safe LLM interactions and flexible embedding support to seamless vector store integration allow developers to build efficient and production-ready AI systems. ARC’s modular design encourages customization and extension, while 

 architecture optimizes resource utilization.

By unifying advanced AI tools and workflows under a consistent API, ARC eliminates vendor lock-in and accelerates development, positioning itself as a leading framework for next-generation AI applications.

The core team is founded by a team with diverse expertise in AI and blockchain. 

 focuses on the technical architecture of AI frameworks, while 

 brings deep experience in software engineering and product development. Meanwhile, 

 contributes strategic insights into scaling AI solutions, and 

 specializes in building robust developer tools. 

Together, this dynamic team is redefining AI frameworks by prioritizing modularity, performance and real-world applications

AI Rig Complex primarily relies on advanced 

 to improve software interaction. These models interpret human language and intent, enabling applications to provide a more natural and interactive experience. Unlike traditional software, ARC leverages LLMs to dynamically adapt to user inputs, offering intelligent and context-aware responses that feel less robotic and more conversational.

At the heart of ARC is Rig Framework, a Rust-based library tailored for high-performance AI development. Rig offers a unified API across various LLM providers, such as 

, making it easy for developers to integrate advanced models. Its pre-built abstractions support streamlined development of workflows, including RAG and multi-agent systems.

Rig Complex’s architecture is modular, enabling scalability and seamless integration with a range of AI models and vector stores. This design ensures flexibility for developers to build applications that incorporate features like semantic search, embeddings and advanced AI-driven workflows. 

AI Rig Complex encourages developers to think beyond basic functionality and to focus on meaning and context. By prioritizing intuitive design and leveraging Rust's memory safety, Rig reduces runtime errors while ensuring that applications are efficient, reliable and ready for production. 

The ARC token is designed for broad community ownership and utility. With 90% of the supply circulating from day one, ARC ensures fair distribution. A 5.5% allocation is reserved for the prize pool, rewarding participants of ARC experiments, while 4.5% is allocated to the team for ongoing development, locked in escrow and vested over a year to align with long-term goals.

, trading 15.11% below its all-time high of $0.4259 but boasting a staggering 1,086.14% increase from its all-time low of $0.03048. The token's 24-hour trading volume is $90.87M, reflecting a 55.40% increase. Its market cap of $362.42M ranks it at #258, with a 

 (FDV) of $362.42M. Over the past week, ARC has outperformed the global market and similar tokens, rising by 87% (as of Jan 3, 2025).

AI Rig Complex is setting the stage for next-generation AI agent frameworks with its advanced platform, modular architecture and seamless integration of LLMs. Its tokenomics ensure fair distribution and long-term development alignment, while recent price performance highlights strong market confidence.

Despite being so new, the AI agent sector in crypto is set for significant growth as enterprises adopt more intelligent workflows. ARC's focus on scalability, interoperability and developer-friendly tools positions it as a top contender in this market. 

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AI Rig Complex (ARC): AI Agent Framework in Rust

Phala Network is a cloud computing platform that runs AI models and programs inside a secure module called a trusted execution environment (TEE). Learn more now!

 became the predominant narrative in the crypto market in 2024, a trend that’s likely to continue in 2025. New and emerging projects — such as 

 — have shown glimpses of what’s possible when these two emerging technologies collide. 

As AI technology spreads, the privacy of the model that’s training data sets becomes an important issue. Phala Network offers a solution to this pressing concern.

 is a cloud computing platform that runs AI models and programs inside a secure module called a trusted execution environment (TEE). TEEs are isolated environments that guarantee the code and data loaded inside are protected from external observation or tampering. This method allows Phala to execute sensitive information like AI model training and inference without compromising the privacy of the data or the integrity of the process. 

Through this innovation, Phala has managed to carve out a niche as the go-to AI coprocessor on web3. In 2024, it hit several notable performance metrics, as detailed below:

To understand Phala’s strong growth in the AI sector, let’s delve deeper into its hybrid architecture and discover what sets it apart from its competitors. 

What Is a Trusted Execution Environment (TEE)?

Phala uses a TEE-blockchain architecture that combines the strengths of TEEs and blockchain technology to create a secure, scalable and efficient system.

TEE refers to a segregated area of hardware that’s protected from the rest of the system using encryption. Data in the TEE can’t be read or tampered with by any code outside that environment; only trusted applications within the environment can access and modify the data. This architecture has been used by governments, enterprises and other cloud service providers to enable secure handling of confidential information on traditional Web 2.0 mediums. With Phala’s integration of TEE to blockchain, web3 DApps have also gained access to the same level of security. 

Within this hybrid architecture, once the TEE handles secure, 

 computations, the blockchain is used to verify their integrity and make sure the computations have been executed as intended. This hybrid approach allows Phala to combine the trust of blockchains with the privacy of TEEs, thereby addressing the limitations of both systems. 

Since this approach is similar to that of 

 (ZKPs), comparisons between the two are inevitable. While TEE proofs and ZKPs share the same goal of ensuring computational integrity and verifiability, they differ in their construction and operation. The computational cost of generating a TEE proof is significantly lower than for a ZKP. In addition, the sizes of ZKPs are also larger than those of TEE proofs, which increases the cost of on-chain verification. Therefore, TEE-based verification methods are often faster and cheaper than ZK-based methods.

Benefits of a Trusted Execution Environment–Blockchain Hybrid

: TEEs ensure that sensitive data such as AI inference remains protected from unauthorized access.

: Blockchain is used to authenticate and verify the correctness of computations performed within TEEs, ensuring that results are trustworthy. 

: Compared to ZKPs, TEEs are faster and cheaper, making them ideal for large-scale computations like those required for artificial intelligence.

: By offloading computations off-chain, the hybrid architecture reduces the load on the blockchain and improves the scalability of the underlying chain.

Phala uses a 3-tier model to provide security, privacy and transparency. The image below depicts the inner workings of the network: 

 is the top layer that manages the network. It blacklists untrusted hardware and verifies the integrity of the 

 generates and manages cryptographic keys, ensuring that computations are secure and data is protected. 

 ensures that all hardwares, such as GPU and CPU and software (TEE) are secure and trustworthy. 

 provides a secure environment for the DApps to run on. 

 is used to ensure the authenticity of TEE transactions stored on the blockchain. 

On Phala 1.0, TEEs were CPU-centric in providing security and privacy. However, most AI models depend upon GPUs for the bulk of their computational requirements. To meet this new and emerging demand, the Phala team decided to upgrade the network to Phala 2.0, which brings in GPU TEE support. This enables higher processing power and efficiency to handle demanding AI workloads. With this upgrade, Phala is also integrating NVIDIA 

 technology, which allows sensitive GPU-based computations to remain isolated and protected, even if the host machine is compromised. 

Another major recent release from Phala Network is 

, a computer solution that empowers developers to offload sensitive workloads into a secure environment. The Dstack SDK streamlines the deployment process, enabling seamless program integration with Phala Network's Confidential Virtual Machine (CVM). It provides developers with an experience comparable to Web 2.0 cloud services such as Amazon Web Services (AWS), but with enhanced security. 

In December 2024, Phala announced a new collaboration with ai16Z to build Eliza’s TEE framework. 

 has emerged as the leading open-source AI agent framework on Solana. Through this partnership, Phala is furthering its role as a privacy-preserving AI framework. By utilizing Phala Network’s TEE, Eliza’s various capabilities will gain cryptographic verifiability and enhanced privacy across different platforms like Telegram, X (formerly Twitter) and Discord. Additionally, Phala’s modularity and custom plug-ins will offer Eliza improved scalability and developer-friendly integrations. 

PHA is the native token of the Phala Network. It serves multiple purposes on the network, such as the following: 

The token was launched through an Initial Parachain Offering. It has a total supply of 1 billion and a 

 (FDV) of $373 million. Initial token distribution was as follows:

The intersection of AI and cryptocurrencies is a new and emerging trend in web3. As with 

 blockchains and DeFi, emerging sectors in the blockchain space often experience intense hype cycles, attracting significant attention and capital. Such growth will eventually demand the development of robust infrastructure to support scalability and innovation. For instance, during the DeFi summer of 2020, projects like 

Similarly, Phala aims to position itself as a foundational infrastructure provider in the AI sector, becoming a key player in the ecosystem through its innovative use of TEE-blockchain hybrid architecture that allows it to provide fast, cheap and secure AI computation.

Bybit users can now trade PHA by heading to the 

phala network.png

Phala: Powering Decentralized AI Computing

Bybit Learn

web3

Explainers

Altcoins

Golem Network is an Ethereum-based DApp that enables decentralized trading of computing resources.

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Decentralized sharing of computing power is among the most innovative solutions that blockchain technology offers. Over the past few years, numerous projects focused on bringing together buyers and sellers of computational power over a blockchain network have emerged. This new category of the blockchain ecosystem, DePIN (

), is among the fastest-growing niches in the industry. The origins of the DePIN concept, however, predate even the 

 (ETH) blockchain itself, the network of choice for most of these projects.

Back in late 2014, a few months before the launch of Ethereum, programmer and blockchain enthusiast Piotr Janiuk presented the initial idea behind Golem Network (GLM), a DePIN system designed to support a decentralized computing power marketplace. The pioneer of the concept, the Golem Network project, was eventually founded in 2016 and launched on Ethereum in 2018. 

To date, Golem Network remains one of the foremost innovators in the DePIN sector, with the project introducing a scalable 

 (AI) road map in early 2024. The concept of trading computational resources, such as GPU, CPU, memory or storage over a decentralized platform, truly emerged with the arrival of Golem Network.

 (DApp) designed to facilitate the flexible trade of computing power and resources over a blockchain network. 

Golem is a classic example of the DePIN concept, having pioneered it within the blockchain industry. The origins of the project date back to November 2014, when a number of blockchain technology visionaries and enthusiasts, including industry heavyweights like Vitalik Buterin and Gavin Wood, gathered in Berlin for the Devcon 0 conference.

Devcon 0 was dedicated to the exploration of the Ethereum blockchain concept, which was eventually launched the following year, and involved a small number of presentations on early ecosystem projects. Among the projects presented was Golem Network, an innovative idea for using the Ethereum blockchain to power the flexible sharing of computing resources.

After years of research and development, the Golem Network project was eventually founded in 2016 by Golem Factory. The project's Ethereum mainnet was launched in April 2018 to support the affordable and flexible trade in computing capacity between resource requesters and providers. Golem Network quickly became a viable alternative to the more expensive and restrictive cloud computing services provided by centralized entities.

The platform's initial native token was GNT. In November 2020, the project announced a migration of the GNT token to the new GLM token to improve its functionality. In late 2021, Golem added support for Layer 2 operations by establishing its presence on the 

 (POL) platform, a popular Layer 2 sidechain for Ethereum. Golem now supports transacting on Ethereum 

 and on Layer 2 through Polygon. The latter option provides significant scalability and cost savings for users.

Golem, however, isn't just a medium for exchanging computing resources: the network's ecosystem now features several DApps and solutions that streamline resource sharing, enable AI applications and even offer crypto portfolio management. For instance, the 

 project is among the first machine learning (ML) algorithm training solutions leveraging Golem. Another innovative DApp within the Golem ecosystem is 

, also known as Blockchain Automations, a 

 (DeFi) solution for automated portfolio management.

As a trailblazer of decentralized trading in computing power, Golem Network was among the top DePIN projects a few years ago, often viewed as a key competitor to another major early DePIN platform — 

 (RNDR). However, fierce competition in this sphere and the rise of other DePIN players over the past three years have dropped Golem to 16th place by market cap in the DePIN category (as of Sep 4, 2024). Even though Golem is no longer a full-fledged category heavyweight, it remains a historically significant project in the blockchain industry.

There are two key types of network actors on Golem: computing resource consumers, called 

. Requestors provide their requirements by filling out a task template in which they indicate what kind of hardware resources they need. Meanwhile, Providers join the network and offer their services to complete the tasks submitted by Requestors. In most cases, you don't need to run a high-powered machine to act as a Golem Requestor. Any laptop or desktop with relatively modern specifications can be used to provide services on Golem Network.

Providers earn rewards in GLM tokens for their resource contributions. They’re free to set their own rates for these contributions. Naturally, the rates set by Providers are one of the variables used by Requestors in their selection process. In addition to the rates charged, other selection factors frequently used by Requestors include the number of processor cores offered, the Provider's reputation and history of performance, and the urgency of the task.

While Golem doesn't require particularly onerous hardware specifications, some minimums that Providers must meet include a Linux machine with the x86-64 architecture and the nested virtualization option enabled in the machine's basic input/output system (BIOS). These basic requirements apply to standard CPU capacity sharing.

Since early 2024, Golem Network also offers GPU capacity sharing, specifically tailored for AI use cases. Providers who would like to provide GPU power to the network must meet higher minimum requirements, including more advanced specifications for storage and video cards.

In early 2023, Golem Network floated the idea of GPU capacity-sharing as a proof of concept (PoC). Since early 2024, the project has begun to offer the decentralized trade in GPU power to support resource-intensive AI computations.

As the AI field within the blockchain industry experiences explosive growth rates, many DePIN projects have launched their AI-focused products. Golem Network hasn't remained indifferent to these developments, introducing its updated GPU/AI road map in early 2024. The project aims to offer several dedicated solutions for AI applications. Among these are Modelserve AI and Golem-Workers.

Modelserve AI is a platform to let AI developers affordably run their models at scale, while Golem-Workers is an API that lets Requestors access dedicated high-level nodes to process and fine-tune AI models.

We noted above that Golem hosts not only a 

 marketplace for computational tasks, but also a variety of DApps and solutions based on the platform's technology. Below are some of the more notable among these solutions.

 is a popular Python-based distributed computing framework designed for AI and ML applications. Given Ray's focus on these fast-expanding fields, applications utilizing the framework often require access to significant computing capacity. Quickly scaling the applications to meet fluctuating demands is also a frequent requirement.

Ray on Golem is an integration of the framework with the Golem platform. Python developers can use it to access Golem's computing resources in order to run computations within their apps. This expands the use cases and reach of Ray-based apps, with more robust solutions and AI models now available through the highly popular framework.

 is an interactive computing environment that lets users create and share documents containing programming code, textual information, media files, visualizations and other pieces of digital information. Thanks to its interactivity and capacity to accommodate various media types, Jupyter is a highly popular tool for programmers and software testers, especially for tasks like prototyping, collaborative development, debugging and testing.

The Jupyter on Golem solution integrates Jupyter's Python version on Golem Network, empowering Python-based Jupyter documents to utilize the computing capacity offered by Golem. This is particularly useful for collaborative work when developing large-scale, resource-hungry Python applications.

Rendering is another area in which Golem Network has use cases and applications. Computer rendering is the process of creating finalized 3D visual outputs (e.g., images, animations and videos) from initial specifications, and modern, visually rich rendering requires a lot of processing power.

 to help the project render personalized videos and animations of buildings for its NFT users. Building co-owners and holders of the associated Reality NFTs can now generate building animations containing their personalized information, such as a building nameplate with their nickname, wallet address and share amount. Golem Network is the underlying technical solution that works in the background to power these animations seamlessly.

Golem's reputation system is a form of sophisticated 

 (DID) solution. It assigns reputational scores and properties to Golem Providers. These properties are based on Provider nodes' historical performance on the network, in addition to technical infrastructure capacity and other factors. The reputation system makes it easy for Requestors to identify reliable resource providers.

Currently, Golem's reputation system exists only for Providers, but there are plans to introduce a similar identity and scoring solution for Requestors, as well for a more balanced ecosystem.

Golem Portal provides an easy-to-use graphic interface for accessing the platform's services and DApps. Instead of using command-line options, developers and users can take advantage of Golem Portal to launch apps with just a few clicks. The portal also provides visualizations that show the steps for launching Golem apps and services; the number of active Providers on the network; and other useful platform-wide information.

 token on the Ethereum and Polygon chains. GLM is primarily used to facilitate the trade in computing power on Golem Network. Requestors pay in GLM for access to hardware resources, while Providers are rewarded in GLM for providing the resources. GLM is also used for 

Golem's original token, GNT, was issued on Ethereum back in 2016, when the blockchain's ERC-20 standard for fungible tokens hadn't yet started to gain real traction among developers. As such, the GNT token itself wasn't based on the ERC-20 standard. As the standard became popular, GNT's lack of compatibility with the standard became a serious limitation for the Golem project. In particular, Golem's plans to utilize Layer 2 processing through Polygon were hampered because GNT wasn’t an ERC-20 asset.

As a result, in late 2020, Golem Network announced a migration from the original GNT token to the ERC-20–based GLM. This migration allows GNT holders to swap their tokens for GLM at a fixed ratio of 1:1. The migration has no deadline, although most GNT tokens have already been converted to GLM as of early September 2024.

The new GLM token has inherited most of GNT’s tokenomics properties. It has a total and maximum supply of 1 billion. 

The original GNT token was allocated via three main streams as follows:

You can stake your GLM tokens to earn passive income. It’s a great way to boost earnings from GLM for resource providers or, in fact, anyone who holds GLM tokens as an investment. 

There are several options for the GLM staking process, including solo staking, staking pools and staking-as-a-service. Since Golem Network is an Ethereum-based DApp, your staked GLM is converted to ETH at the underlying level to help secure the blockchain's 

The GLM token is available on Bybit via its Derivatives market as a Perpetual futures contract with USDT (

). Bybit's Derivatives market allows you to trade hundreds of crypto assets with low fees and up to 100x leverage, depending upon the asset chosen. There are markets for Perpetuals, standard Futures and Options, with contracts based on popular stablecoins — USDT and USDC — as well as a range of other popular high-cap cryptos.

As of Sep 4, 2024, the GLM token's market value is $0.2669, which is 79.8% lower than its ATH of $1.32 on Apr 13, 2018, and over 2,800% higher than its ATL of $0.009138 on Dec 12, 2016.

Long-term price forecasts for GLM are generally bullish. PricePrediction 

 to trade at $0.52 in 2025 and $3.22 in 2030, while DigitalCoinPrice 

Depending upon your investment preferences and goals, you might consider the GLM token for the following reasons:

Large-scale applications in AI, ML and other fields that demand heavy-duty computations now rely a lot on the distributed processing model. These applications make extensive use of cloud services in Web 2.0, as well as DePIN networks in 

. Golem Network, a project that laid the foundation stone for the DePIN concept, continues to thrive and innovate in this environment.

Golem is no longer as dominant a force in its niche as it was in the early years of DePIN platforms. At #16 in market cap rankings, it can be best described as a medium-sized DePIN player. However, its time-tested nature and the capacity to regularly introduce new features still attract nothing but admiration. 

Decentralized hardware capacity-sharing started with Golem, and the project will undoubtedly play a key role in this sector of the blockchain industry for years to come.

Golem Network (GLM): A Decentralized Supercomputer Redefining Computation

Grab Up to 5,000 USDT in Rewards

Grab Up to 5,000 USDT in Rewards