
Golem Network Token

Golem Network TokenGLM
GLM
Golem Network Token Price Converter
Golem Network Token Information
Golem Network Token Supported Platforms
EGLM | ERC20 | NRG | 0xf3ff3bF1d1afCbeBD98A304482c4099Dc953E9a8 | 2021-03-11 |
GLM | ERC20 | ETH | 0x7DD9c5Cba05E151C895FDe1CF355C9A1D5DA6429 | 2020-11-19 |
GLMV1 | ERC20 | ETH | 0xa74476443119a942de498590fe1f2454d7d4ac0d | 2016-11-10 |
About Golem Network Token
Golem Network is a decentralised computing platform that enables users to share and monetise computational power. It operates as a peer-to-peer marketplace where users can rent out their idle computing resources to others who need processing power for computational tasks. The network is designed to offer an alternative to traditional cloud computing by distributing workloads across decentralised providers.
Golem aims to support a variety of use cases, including CGI rendering, scientific calculations, and machine learning. The platform allows requestors to access computational resources on demand, while providers earn compensation for sharing their idle processing power.
GLM is the native token of the Golem Network and serves multiple functions:
- Payment for Computing Power: GLM is used as the primary medium of exchange between users who need computational resources and those who provide them.
- Incentives for Providers: Users who share their computing resources are rewarded in GLM tokens.
- Access to Services: Requestors use GLM to pay for specific computational tasks, such as rendering or machine learning model training.
Golem Network provides decentralised computing resources that can be utilised for artificial intelligence (AI) and machine learning applications. AI-related use cases include:
- Machine Learning Model Training: Distributed computing power can be used for training complex AI models.
- Data Processing for AI Applications: Users can leverage Golem’s infrastructure to run AI algorithms that require high-performance computing.
- Decentralised AI Workflows: Golem allows AI developers to distribute workloads across multiple independent providers instead of relying on centralised cloud services.