Akash Network (AKT) sustainability report
| Name | BlockNodes SAS |
| Relevant legal entity identifier | 969500PZJWT3TD1SUI59 |
| Name of the crypto-asset | Akash Network |
| Beginning of the period to which the disclosure relates | 2025-04-29 |
| End of the period to which the disclosure relates | 2026-04-29 |
| Energy consumption | 79628.40000 kWh/a |
Consensus Mechanism
Akash Network is present on the following networks: Osmosis.
The Osmosis blockchain network operates on a Proof of Stake (PoS) consensus mechanism, strategically leveraging the modular framework of the Cosmos SDK and the robust capabilities of Tendermint Core. This foundational architecture is meticulously designed to ensure secure, decentralized, and scalable transaction processing across the network. Central to this PoS model are the validators, who are selected based on the cumulative amount of OSMO tokens they have committed, either through self-staking or via delegation from other token holders. These validators bear the critical responsibility of validating transactions, proposing and producing new blocks, and generally maintaining the network's security and operational integrity.
The integration of Tendermint Core provides Osmosis with a Byzantine Fault Tolerant (BFT) consensus algorithm, which is instrumental in achieving rapid transaction finality. This BFT mechanism guarantees the network's resilience against malicious attacks, provided that less than one-third of the validators act dishonestly. This resilience is a key differentiator, preventing critical issues such as double-spending and ensuring consistent blockchain state. The inherent modularity offered by the Cosmos SDK further augments Osmosis's capabilities, enabling the development of custom application-specific blockchains and facilitating seamless interoperability within the broader Cosmos ecosystem.
Beyond its core functions of block production and transaction validation, the Osmosis network places a strong emphasis on decentralized governance. OSMO token holders are empowered to directly participate in crucial decision-making processes, including voting on protocol upgrades, adjusting network parameters, and actively shaping the future developmental path of the blockchain. This community-driven governance model fosters an adaptive and robust ecosystem where stakeholders have a direct influence on the network's evolution. The confluence of an efficient PoS model, the robust BFT consensus engine of Tendermint Core, and active decentralized governance collectively establishes a resilient, high-performance, and community-governed blockchain environment. The system's design also incorporates economic incentives and deterrents, such as potential slashing penalties for malicious behavior or prolonged validator inactivity, thereby ensuring honest and reliable participation.
Incentive Mechanisms and Applicable Fees
Akash Network is present on the following networks: Osmosis.
The Osmosis network implements a sophisticated system of incentive mechanisms and applicable fees, meticulously crafted to foster active participation from validators, delegators, and liquidity providers. This multi-faceted approach is crucial for safeguarding the network's security, optimizing its efficiency, and ensuring ample liquidity for its decentralized exchange functionalities.
Validators form the backbone of the network, securing transactions and proposing new blocks. Their diligent work is rewarded primarily through transaction fees and block rewards, which are distributed in OSMO tokens. This incentive structure is designed to motivate validators to maintain high operational uptime and process transactions accurately and efficiently. Complementing the validators are delegators—OSMO token holders who, instead of running their own validator nodes, contribute to network security by staking their tokens with chosen validators. In return for their delegated stake, they receive a proportionate share of the rewards earned by their chosen validators, thereby promoting broader participation in network governance and security without the need for advanced technical expertise.
Given Osmosis's role as a decentralized exchange, it heavily incentivizes liquidity providers (LPs). Users who contribute pairs of assets to various liquidity pools on Osmosis earn swap fees generated from the trading activities occurring within those pools. To further encourage the establishment of deep and stable liquidity, LPs may also be granted additional incentives, often in the form of OSMO tokens. A notable and innovative feature is Superfluid Staking, which allows liquidity providers to simultaneously stake a portion of their OSMO tokens that are already committed within liquidity pools. This mechanism enables users to earn both staking rewards, contributing to network security, and liquidity provision rewards, thereby significantly enhancing capital efficiency and deepening the network's overall liquidity.
Regarding applicable fees, users are required to pay transaction fees, denominated in OSMO tokens, for a wide range of network activities. These activities include executing swaps on the decentralized exchange, participating in staking operations, and engaging in governance votes. The collected transaction fees are then systematically distributed among the validators and delegators, forming a vital component of their economic compensation. This integrated fee structure ensures continuous support for network security and sustains participation from all key stakeholders, fostering a self-sustaining and robust ecosystem where economic incentives are closely aligned with operational stability and growth.
Energy consumption sources and methodologies
Akash Network is present on the following networks: Osmosis.
The methodology for assessing energy consumption on the Osmosis blockchain network primarily employs a "bottom-up" approach, where the individual network nodes are considered the fundamental drivers of overall energy usage. This comprehensive calculation aggregates consumption across various components to construct a holistic view of the network's energy footprint. The foundational assumptions that underpin these energy estimations are derived from empirical findings, meticulously gathered through a combination of publicly available information sites, sophisticated open-source crawlers, and proprietary in-house crawlers developed specifically for this analytical task.
A critical element of this methodology involves precisely estimating the hardware infrastructure utilized within the network. This estimation is predominantly determined by analyzing the specific technical requirements for operating the client software necessary to interact with or run nodes on the Osmosis network. Once these hardware specifications are accurately identified, the energy consumption of these particular hardware devices is rigorously measured in certified test laboratories, thereby ensuring a high degree of precision and reliability in the resultant data.
Given Osmosis's deep integration within the broader Cosmos ecosystem, its energy consumption calculation is not confined solely to its standalone mainnet activities. A significant, proportional share of the energy consumed by the interconnected Cosmos network must also be taken into account, acknowledging Cosmos's essential role in providing a foundational security infrastructure that directly benefits Osmosis. This proportional allocation is specifically determined based on the observed "gas consumption" metrics, which serve as an indicator of the computational effort contributed by Osmosis activities within the larger Cosmos framework. To maintain accuracy and ensure that all relevant implementations of the crypto-asset within scope are identified, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is utilized whenever available. The mappings for these identifiers are regularly updated, drawing data from the authoritative Digital Token Identifier Foundation. Furthermore, information pertaining to the specific hardware employed and the total number of participants active within the network relies on assumptions. These assumptions are subjected to best-effort verification using empirical data, with a general premise that participants behave as economically rational actors. Adhering to a precautionary principle, conservative estimates are consistently applied in situations of uncertainty, favoring higher estimates for potential adverse environmental impacts to ensure a cautious and transparent assessment. No external links are provided in the source documents.