Hyperliquid (HYPE) sustainability report

Hyperliquid is present on the following networks: Hyperliquid.

The Hyperliquid blockchain network, known as Hyperliquid L1, operates on a proprietary consensus mechanism called HyperBFT. This mechanism is specifically engineered to support the demanding requirements of a decentralized perpetual exchange (DEX), emphasizing high-frequency trading, robust security, and consistent transactional integrity across its ecosystem. HyperBFT draws its inspiration from the HotStuff protocol, a well-regarded Byzantine Fault Tolerant (BFT) consensus algorithm known for its efficiency and resilience in distributed systems. A core characteristic of BFT protocols like HotStuff is their ability to maintain operational integrity and reach agreement even when a certain proportion of network participants (up to one-third) act maliciously or are unresponsive. This fault tolerance is crucial for financial applications where transaction finality and security are paramount.The HotStuff protocol, and by extension HyperBFT, operates on a leader-based model. In this setup, a designated validator node is responsible for proposing new blocks of transactions to the network. Once a block is proposed, other validator nodes, often referred to as replicas, engage in a verification and validation process. This structured approach simplifies the consensus process compared to some more complex models, contributing to high-speed and low-latency transaction processing. To counteract potential centralization risks associated with a leader-based system and to enhance overall fault tolerance, HyperBFT likely incorporates a dynamic leader rotation mechanism. This ensures that the responsibility of proposing blocks is regularly shuffled among eligible validators, preventing any single entity from gaining undue control and maintaining continuous network reliability. The integration of such an efficient BFT consensus mechanism allows Hyperliquid L1 to deliver rapid transaction finality and high throughput, which are essential for a high-performance trading platform, while simultaneously ensuring strong security guarantees against various forms of network attacks or dishonest behavior.

Hyperliquid is present on the following networks: Hyperliquid.

The Hyperliquid blockchain network employs a comprehensive system of incentive mechanisms and a dynamic fee structure to ensure network security, encourage participation, and support its ongoing growth and stability. At the core of its incentive model is the native token, HYPE. Validators, who are crucial for the network's operation, earn rewards in HYPE for their diligent efforts in securing the network. This includes their role in validating transactions, participating in the HyperBFT consensus process, and generally maintaining the integrity of the blockchain. By compensating validators, Hyperliquid ensures a robust and reliable network infrastructure.Beyond validators, the network also incentivizes delegators. Token holders who may not have the technical expertise or resources to run a validator node can delegate their HYPE tokens to existing validators. In return for supporting these validators and contributing to the network's pooled security, delegators also earn a share of the HYPE rewards. This mechanism broadens participation in network security and promotes decentralization by allowing a wider range of token holders to have a vested interest in the network's health. Furthermore, Hyperliquid extends incentives to other active users within its ecosystem. Participants can earn HYPE through various activities, such as staking their tokens, providing essential liquidity to the decentralized exchange, and engaging in other contributions that foster the functionality and vibrancy of the platform. This multi-faceted incentive approach, often referred to as a dual-token system (though only HYPE is explicitly mentioned as the native token for rewards in this context), is designed to foster active engagement and align the economic interests of all participants with the long-term success of the network.Regarding applicable fees, Hyperliquid utilizes a dynamic fee model for transactions. These fees are not fixed but rather adjust based on two primary factors: the current level of network activity and the inherent complexity of the transaction being processed. This dynamic adjustment mechanism helps the network manage congestion efficiently and ensures that resource allocation is priced appropriately according to demand. Users conducting transactions on the Hyperliquid L1 blockchain are responsible for paying these fees. The fees serve a dual purpose: they cover the operational costs associated with processing transactions, including the computational resources required, and they act as a crucial component of the incentive structure for validators. By compensating validators through a portion of these transaction fees, Hyperliquid ensures that there is a continuous economic impetus for them to process transactions accurately, maintain high network uptime, and contribute to the overall security of the platform.

Hyperliquid is present on the following networks: Hyperliquid.

The methodology for assessing the energy consumption of the Hyperliquid blockchain network, and by extension, any crypto-asset operating on it, follows a standardized approach that aggregates data across various components. The initial step involves calculating the total energy consumption of the underlying network itself. For networks such as Hyperliquid, which host multiple crypto-assets, this overarching network consumption is determined first. Subsequently, to ascertain the energy footprint specifically attributable to a particular crypto-asset on the Hyperliquid network, a proportional fraction of the network's total energy consumption is allocated. This attribution is meticulously determined based on the observed activity levels of that specific crypto-asset within the Hyperliquid ecosystem.To ensure accuracy and comprehensive coverage, if available, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is utilized to identify and scope all implementations of the crypto-asset in question. The mappings for these identifiers are regularly updated, drawing on data provided by the Digital Token Identifier Foundation, ensuring that the assessment remains current and reflects any changes in asset deployment.The underlying assumptions regarding the hardware utilized by network participants and the overall number of active participants are critical to these calculations. These assumptions are not arbitrary but are rigorously verified using empirical data and a 'best effort' approach. A general guiding principle is that participants within the network are presumed to behave largely as economically rational actors. Furthermore, in adherence to a precautionary principle, conservative assumptions are applied when there is any uncertainty, meaning that estimates for potential adverse impacts, such as energy consumption, are biased towards higher figures to ensure a robust and cautious assessment.

Hyperliquid is present on the following networks: Hyperliquid.

The methodology for determining the key energy sources and the proportion of renewable energy utilized by the Hyperliquid blockchain network involves a multi-pronged approach focused on identifying the geographical distribution of its operational nodes. The primary method for establishing node locations leverages a combination of publicly available information sites, advanced open-source crawlers, and specialized in-house developed crawling technologies. These tools collectively work to pinpoint where Hyperliquid's validator and other network nodes are physically situated.In instances where precise geographic distribution data for the nodes is insufficient or unavailable, a pragmatic approach is adopted: reference networks are employed. These reference networks are carefully selected based on their demonstrable comparability to Hyperliquid in terms of both their incentivization structures and their underlying consensus mechanisms. By analyzing comparable networks, an informed estimation of the geographical energy mix can still be made.Once the geographical information pertaining to the nodes is gathered, it is systematically integrated with comprehensive public data sets sourced from Our World in Data. Specifically, this involves utilizing datasets like the "Share of electricity generated by renewables - Ember and Energy Institute" to understand the renewable energy penetration in those regions. This merger allows for a detailed assessment of the renewable energy proportion in Hyperliquid's operational energy consumption. The energy intensity of the network is then quantified as the marginal energy cost associated with the execution of one additional transaction.This rigorous methodology provides a robust framework for evaluating the network's renewable energy profile and its overall energy efficiency. Further details on the data sources can be found at Our World in Data.

Hyperliquid is present on the following networks: Hyperliquid.

The methodologies employed to ascertain the key Greenhouse Gas (GHG) sources and their associated emissions for the Hyperliquid blockchain network are directly linked to its operational infrastructure. The initial and critical step involves precisely determining the geographical locations of the network's nodes. This process relies on a combination of publicly accessible information sites, sophisticated open-source crawlers, and proprietary crawling systems developed specifically for this purpose. These tools are instrumental in identifying the physical whereabouts of Hyperliquid's various network participants, including validator nodes, which are central to its operation.Should there be a lack of concrete data concerning the geographic distribution of Hyperliquid's nodes, the methodology provides for the use of reference networks. These are carefully chosen based on their structural similarities to Hyperliquid, specifically in terms of their incentive frameworks and consensus mechanisms. This comparative analysis allows for an informed estimation of the GHG impact even when direct geographical data is sparse.Once the geographical data for the nodes is successfully compiled, it is then meticulously combined with public information obtained from Our World in Data. This integration specifically utilizes datasets such as the "Carbon intensity of electricity generation - Ember and Energy Institute." By merging the location data with region-specific carbon intensity figures, a comprehensive picture of the GHG emissions attributed to the electricity consumption of the Hyperliquid network can be constructed.The overall GHG intensity of the network is subsequently calculated as the marginal emission associated with the processing of one additional transaction. This metric offers insight into the incremental environmental impact of network activity. For more detailed information on the data sources and their licensing, please refer to Our World in Data. This resource is licensed under CC BY 4.0, ensuring transparency and accessibility of the underlying environmental data.