Golem (GLM)
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Overview
A marketplace for computing power
Golem is a network for sharing computing power. People and organizations that need processing capacity, called requestors, rent it from computer owners, called providers. Providers run tasks and receive Golem Network Token (GLM) in payment. The idea is to put available computers to work instead of relying only on machines owned by one company. (docs.golem.network)
A requestor might need several computers to process data, render images, or run an application. A provider might offer part of a desktop computer or the resources of a server. Golem’s software helps the two sides find each other, agree on terms, run the work, and settle payment. GLM is the link between the computing service and its payment system. (docs.golem.network)
Price, Market Position, and Liquidity
As of 10/16/2026 05:00 UTC, Golem (GLM) trades at $0.121 with a +3.73% move over the last 24 hours.
The market capitalization stands at $119M, placing it at rank #253 by market value.
Daily trading volume is $78K. Golem (GLM) has moved -7.86% over the past seven days and +6.98% across the last 30 days.
History & Team
From an early idea to GLM
Golem grew out of work by a team with roots in Warsaw, Poland. Its four co-founders are Julian Zawistowski, Andrzej Regulski, Piotr Janiuk, and Aleksandra Skrzypczak. Their roles later split: Julian and Andrzej took charge of the Golem Foundation, while Piotr and Aleksandra led work at Golem Factory, the company developing the network. (blog.golem.network)
The project’s original token, GNT, was created through crowdfunding that began on November 11, 2016. The sale reached its target of 820,000 ETH. Golem launched its first version on the Ethereum mainnet on April 10, 2018. That early release focused on Blender rendering, which turns a digital 3D scene into a finished image. (golem.network)
In November 2020, Golem began moving from GNT to GLM at a one-for-one rate. GLM follows Ethereum’s ERC-20 token standard, making it easier to use with newer payment systems and Ethereum-based tools. The migration has no stated deadline. Golem’s early funding came from crowdfunding participants; the project’s own sale records describe the funding and token allocation rather than a named list of institutional investors. (blog.golem.network)
Technology & How It Works
Matching work with available machines
A Golem provider runs software that makes chosen computer resources available. A requestor describes the resources needed and the terms it will accept. The network matches that demand with provider offers. Once both sides agree, the requestor sends work to the provider’s machine, receives the result, and pays for the resources used. Golem’s node software, Yagna, handles these interactions. (docs.golem.network)
For work that can be divided into independent parts, a requestor can use several providers at once. Imagine an animation made of many frames: separate computers could render different frames in parallel. Other applications may need a service that stays running on one or more providers. These two patterns—short tasks and longer-running services—give developers different ways to use the network. (docs.golem.network)
The work runs on providers’ computers, while blockchain networks handle GLM payments. Polygon is Golem’s usual payment network; Ethereum mainnet is another supported option. Payment terms account for resource use, and providers can issue billing messages before a final invoice is settled. Keeping computation separate from payment lets Golem use many independent machines without placing every computing step on a blockchain. (docs.golem.network)
Golem also offers tools for developers, including a JavaScript software kit and an integration for Ray, a framework used to spread Python work across machines. Provider reputation tools help requestors search for suitable machines using measures such as processing performance, memory, and network response time. (docs.golem.network)
Tokenomics & Utility
A fixed supply tied to network use
GLM’s main purpose is to pay for computing resources. Requestors spend it to run work; providers earn it by supplying capacity. The token is an ERC-20 asset on Ethereum, with payments also supported through Polygon. It has a maximum supply of one billion tokens. The move from GNT to GLM exchanges old tokens for new ones at a one-for-one rate within that limit. (docs.golem.network)
The original crowdfunding plan allocated 82% of tokens to sale participants, 12% to Golem Factory, and 6% to the team. It stated that no new tokens would be created after the crowdfunding period. GLM therefore serves as payment for a service rather than as a reward created by mining new tokens. (blog.golem.network)
A requestor using GLM also needs the native token of its chosen payment network to cover blockchain transaction fees. On Polygon, that token is POL. Developers can use a separate test token, tGLM, while building and trying applications on Golem’s test network. (docs.golem.network)
Ecosystem & Use Cases
From rendering to AI tools
Golem’s first major example was CGI rendering with Blender. Rendering often involves many separate images, so it shows how a large job can be shared among computers. The network’s tools now support a wider range of tasks, including data processing and applications that remain online to serve users. Developers can also describe a group of connected services as one decentralized application. (blog.golem.network)
AI work has become another focus. Golem has developed experimental GPU provider software that connects graphics processors to the network. Its documentation includes an example of running an AI model on a GPU provider, while Ray on Golem gives Python developers a way to arrange distributed workloads. GPU access matters because many AI tasks benefit from processors designed to handle large amounts of parallel work. (blog.golem.network)
The ecosystem also includes projects supported by the Golem Ecosystem Fund. One example, Satori Network, has worked on using Golem machines for zero-knowledge proving, a type of calculation used in blockchain systems. Such projects show how a computing marketplace can support uses beyond its original rendering application. (blog.golem.network)
Advantages & Challenges
Flexibility requires coordination
Golem lets computer owners offer resources and gives developers another way to obtain processing capacity. A task that divides neatly into smaller jobs can draw on several providers at the same time. Its open development tools allow builders to create applications for different kinds of work rather than waiting for every use case to be built into one product. (docs.golem.network)
That flexibility brings practical challenges. A requestor must find machines with suitable hardware, software, performance, and availability. A job that needs constant communication between machines may be harder to spread across distant providers than a set of independent tasks. Provider reputation tools help with selection, but they add another step for developers planning a workload. (docs.golem.network)
Golem must also attract both sides of its marketplace. More providers expand the choice of machines; more requestors give providers work to perform. New uses, especially GPU-based ones, depend on software that makes those resources straightforward to offer and use. (blog.golem.network)
Where to Buy & Wallets
Exchanges and storage
GLM is available on Binance and Coinbase, as well as decentralized exchanges such as Uniswap and QuickSwap. Availability and supported payment networks vary by platform. Golem’s documentation lists these services among ways to acquire the token. (docs.golem.network)
GLM can be held in an Ethereum-compatible wallet such as MetaMask. Golem’s node software also creates wallet addresses used for network payments. A user preparing to pay providers selects the network that matches the GLM they hold: Golem commonly uses Polygon, while Ethereum mainnet is also supported. A provider can configure the address where it receives payment. (blog.golem.network)
Regulatory & Compliance
Rules for tokens, services, and payments
GLM is used as a utility token for purchasing computing resources, but legal treatment also depends on how a crypto asset is offered and used. In the United States, securities rules examine the circumstances of a transaction, including whether buyers are led to expect profit from the work of others. U.S. tax rules treat digital assets received for services as income; using a digital asset to pay for a service can also have tax consequences. These rules matter to providers who earn GLM and requestors who spend it. (docs.golem.network)
In the European Union, the Markets in Crypto-Assets framework sets requirements for businesses that provide covered crypto-asset services. That framework concerns services such as exchange and custody, alongside the network’s separate role in matching computing work. (esma.europa.eu)
Islamic-finance principles also focus on what is exchanged and how. Paying an agreed amount for the use of computing resources resembles the service or asset-use arrangements recognized in Islamic finance. An assessment of whether a particular GLM transaction is halal would consider its terms and the purpose of the computing work, including whether that purpose is permissible under shariah principles. (ifsb.org)
Future Outlook
Building useful applications
Golem’s direction rests on making distributed computing easier to use. Its work on GPU providers and AI tools aims to connect available graphics processors with developers who need them. Ray integration, service-deployment tools, and provider selection features address another part of the same goal: helping requestors turn a computing idea into a task that runs across independent machines. (blog.golem.network)
The Golem Ecosystem Fund has also supported projects that apply distributed computing to other fields, including blockchain proving. Golem’s lasting role will depend on whether these tools help providers offer usable capacity and help requestors complete work that is well suited to a shared network. (blog.golem.network)
Summary
Golem’s place in crypto
Golem joins a real computing service with a crypto payment system. Providers contribute processing capacity, requestors put it to work, and GLM pays for the exchange. From its start in rendering to its work on AI and developer tools, the project offers a clear example of how a token can support a marketplace for shared computer resources. (docs.golem.network)
Description
#253
Golem is a decentralized marketplace for computing power. It allows anyone to rent out their idle computing resources or to buy computing power from others for various tasks.
| Sector: | AI & Compute |
| Blockchain: | Ethereum |
Market Data
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