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What Is Golem?

Golem (GLM) is a decentralized computing network that enables users to buy and sell computational power in a peer-to-peer marketplace — in essence, a global, open-source supercomputer made up of the combined resources of participants' machines, from personal laptops to entire data centers. The concept is rooted in the sharing economy: rather than buying expensive hardware or renting time on centralized cloud services, users can borrow computing power from others, much like borrowing a tool from a neighbor instead of purchasing one.

Golem's initial coin offering took place on November 11, 2016, making it one of the earliest Ethereum-based crowdfunded projects. Participants exchanged ether for Golem Network Tokens (GNT), which served as the payment currency within the network. The first working version, codenamed Brass Golem, focused exclusively on CGI rendering using Blender, demonstrating the core concept: a task is split into pieces, distributed to participants across the network who compute their portions in parallel, and the results are reassembled. This divide-and-conquer approach to computation allows many sub-tasks to run simultaneously, delivering results in minutes that would take hours on a single machine.

The project underwent a major evolution with the release of the Golem Network (built on the Yagna framework), which replaced the original Brass implementation. This new architecture introduced a modular and flexible framework supporting a far wider range of use cases. Developers can create custom applications and deploy them across the Golem network using either a task-based model (for batch processing) or a service-based model (for persistent workloads). SDKs are available in Python and JavaScript, lowering the barrier for developers to build on the platform.

In late 2020, Golem migrated its token from GNT to GLM, an ERC-20 token on Ethereum. The migration was necessary to support Layer 2 payments on Polygon, which dramatically reduced gas fees for the many small transactions that occur between providers and requestors. Golem also introduced a reputation system to ensure that computations are performed correctly, allowing requestors to identify reliable providers based on their track record. The total supply is capped at 1 billion GLM tokens.

The original Brass Golem used a probabilistic payment scheme (a lottery approach) to minimize Ethereum transaction fees — rather than paying each contributor individually, all participants entered a lottery funded by the requestor, where one winner received the full payout. Over many tasks, each provider's average earnings approximated fair compensation. The newer Yagna-based network has moved to more direct payment channels, leveraging Layer 2 scaling to make individual payments economical.

Use cases for Golem span scientific computing (DNA analysis, protein folding simulations), machine learning model training, data analysis, CGI rendering, cryptographic computation, and various batch processing workloads. The platform is open source and aims to create a global, accessible supercomputer that democratizes access to computing resources. The cloud computing market is valued at hundreds of billions of dollars annually, dominated by centralized providers like Amazon AWS, Google Cloud, and Microsoft Azure. Golem offers a decentralized alternative where a competitive marketplace drives down costs while also providing DDoS resistance through its distributed architecture — there is no single data center to attack.

Getting Started With Golem

Getting started with Golem involves the following steps:

  1. Step 1: Understand the Golem Network. Visit the official Golem website at golem.network to learn about the project's architecture, use cases, and current capabilities. Review the documentation to understand how providers and requestors interact on the network.
  2. Step 2: Set Up a Wallet. GLM is an ERC-20 token on Ethereum. You will need an Ethereum-compatible wallet such as MetaMask to hold and manage your GLM tokens. Golem also supports payments on Polygon (Layer 2) to reduce gas fees.
  3. Step 3: Choose Your Role. Decide whether you want to be a provider (sharing your computing resources for GLM) or a requestor (paying GLM to use distributed computing power). Providers can install the Golem provider software, while requestors use the Golem SDK to submit tasks.
  4. Step 4: Install the Software. Download and install the appropriate Golem software from the official GitHub repository. Providers run the Yagna daemon and provider agent, while requestors integrate the Golem SDK (available in Python and JavaScript) into their applications.

How to Get a Golem Wallet?

MetaMask

MetaMask is the most popular option for storing GLM tokens. Install the MetaMask browser extension or mobile app, create a wallet, and add the GLM token contract address to view your balance. MetaMask supports both Ethereum mainnet and Polygon, both of which are used by the Golem network.

Hardware Wallets

For long-term storage of GLM tokens, hardware wallets such as Ledger or Trezor provide enhanced security. These devices store your private keys offline and can be used in combination with MetaMask for convenient access while maintaining strong security.

Golem Built-in Wallet

The Golem Yagna daemon includes a built-in wallet for providers and requestors. This wallet handles GLM payments automatically during network operations but is primarily intended for operational use rather than long-term storage.

Golem Resources

How to Buy Golem?

GLM tokens can be purchased on major centralized exchanges including Binance, Coinbase, and Kraken. To buy GLM, create an account on your preferred exchange, complete identity verification, deposit funds, and place an order for GLM.

For decentralized options, GLM can be traded on Uniswap and other Ethereum-based DEXs by swapping ETH or other ERC-20 tokens. GLM is also available on Polygon-based DEXs like QuickSwap with lower transaction fees.

Latest Golem News

Golem continues to develop its decentralized computing platform with a focus on expanding the range of supported workloads and improving the developer experience. GPU computing support has been a major development priority, opening the door to AI and machine learning workloads that require graphics processing. Enhanced reputation systems help requestors identify reliable providers, and broader SDK capabilities in Python and JavaScript aim to attract more developers. The project maintains its position as one of the longest-running decentralized computing initiatives, competing with newer entrants in the distributed compute space while leveraging its Polygon-based Layer 2 payment infrastructure to keep transaction costs low.