Optimizing the SKALE Network for Efficiency and Validator ROI
SKALE Foundation is proud to share this proposal in collaboration with the SKALE Labs team with additional support and guidance from Blockdaemon.
Blockdaemon is recognized as a leader in blockchain infrastructure, providing institutional-grade staking and node management services across dozens of protocols. As a key partner and a Day 1 validator for the SKALE Network, Blockdaemon brings deep operational expertise and a vested interest in the long-term sustainability and performance of the SKALE Network.
The following analysis and proposed mechanism stem from a shared commitment to ensuring SKALE’s infrastructure remains both robust and economically efficient as the ecosystem continues to mature and expand.
Proposed Mechanism: Progressive Minimum Stake Requirement (MSR)
This proposal focuses on modifying the Minimum Stake Requirement (MSR) for operating Super Nodes.
At present, the MSR is flat at 20 million SKL per Super Node, regardless of how many nodes a validator operates.
The proposed model introduces a progressive MSR structure, where the stake requirement increases for each additional node operated by the same validator organization. The suggested structure would look as follows:
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1st node: 20M SKL
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2nd node: 40M SKL
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3rd node: 60M SKL
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4th node and beyond: progressively increasing stake requirements
This mechanism does not reduce the total amount of SKL staked on the network. Instead, it encourages validators to consolidate stake across fewer nodes, improving infrastructure efficiency.
Expected Network Effects
If implemented, the model would gradually reduce the number of active nodes while maintaining the same aggregate level of staked SKL securing the network.
Key expected outcomes include:
1. Improved Validator Economics
Validators would be able to secure the same stake with fewer machines, significantly reducing infrastructure costs such as cloud hosting, hardware, maintenance, and DevOps overhead.
Lower operational costs translate directly into improved validator ROI while maintaining the same reward structure.
2. Reduced Network Overcapacity
By aligning node count with real demand, the network could contract from the current 98 super nodes to an estimated ~45 high-efficiency super nodes, while still maintaining ample capacity for future growth.
3. More Efficient Resource Allocation
Running excess infrastructure consumes resources without contributing additional value to the network. A leaner validator topology allows infrastructure resources to be focused on performance, reliability, and application growth rather than maintaining underutilized capacity.
4. Improved Decentralization Metrics
Although the number of nodes decreases, the progressive MSR model discourages any single validator organization from operating a large percentage of the network. Additionally, this proposal does not reduce the number of validator organizations, it only optimizes node distribution.
Because each additional node requires proportionally more stake, the mechanism naturally limits concentration of node ownership and improves decentralization metrics such as the Nakamoto coefficient.
5. Higher Stake Collateral Per Node and Increased SKALE Chain Security
With fewer nodes securing the network while maintaining the same total stake, the average stake collateral backing each node increases significantly.
Higher stake per node strengthens the economic security of the network, as each node represents a larger amount of bonded capital securing the system. For SKALE’s architecture, where application-specific SKALE chains (sChains) are secured by rotating validator sets, this also increases the economic value and security guarantees provided to each sChain, since the validator infrastructure backing these chains carries greater stake weight on average.
Preparing the Network for Future Growth
The proposed changes are not intended to reduce SKALE’s ability to scale. Instead, they aim to right-size the network for current demand while maintaining its long-term scalability. SKALE as a network can always scale node capacity back up as demand increases across the SKALE Manager deployments.
By improving validator economics and infrastructure efficiency today, the network can operate in a more sustainable and resilient configuration, positioning it to support future growth in areas such as:
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AI-powered applications
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high-throughput consumer applications
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privacy-enabled computation
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agent-based onchain systems
A more efficient network also allows the ecosystem to focus resources on application adoption, ecosystem growth, and sustainable revenue mechanisms, including models that may ultimately contribute to token burn dynamics.
Conclusion
The proposed progressive MSR model represents a potential governance-driven optimization designed to align SKALE’s infrastructure with its current level of demand while improving validator economics.
If implemented, the approach could:
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reduce unnecessary infrastructure overhead
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improve validator ROI
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maintain strong decentralization
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preserve the same total stake securing the network
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and ensure SKALE remains scalable for future application growth.
Through thoughtful adjustments to network parameters, the community can ensure that SKALE remains efficient, economically sustainable, and is ready for the next phase of ecosystem expansion.