The blockchain infrastructure landscape continues to evolve at a rapid pace, and the latest development comes from SKALE Network, which has officially launched an artificial intelligence-focused Layer-3 network built on top of Base, Coinbase’s Ethereum Layer-2 solution. The announcement, made on November 26, 2025, represents a significant step forward in the convergence of blockchain technology and AI, two of the most transformative forces in the digital economy.
TL;DR
- SKALE Network launches a dedicated AI-focused Layer-3 chain built on Base (Coinbase’s L2)
- The new solution aims to provide high-throughput computing for AI workloads on-chain
- Layer-3 architecture enables specialized execution environments without congesting underlying networks
- The move signals growing demand for blockchain infrastructure tailored to AI applications
- Developers gain access to SKALE’s zero-gas-fee model combined with Base’s security guarantees
A New Layer of Innovation
SKALE Network’s decision to build a Layer-3 on Base rather than expanding its existing Layer-1 infrastructure reflects a broader industry trend toward modular blockchain design. Layer-3 networks sit atop Layer-2 solutions, inheriting their security while adding specialized functionality. In this case, SKALE is targeting the unique computational demands of AI applications, which require high throughput and low latency for model training, inference, and data processing tasks.
The architecture leverages SKALE’s established expertise in elastic blockchain networks, which allow for app-specific chains that can be dynamically provisioned and scaled. By deploying on Base, the new Layer-3 benefits from Ethereum’s robust security model through Base’s optimistic rollup technology, while SKALE contributes its zero-gas-fee transaction model and high-performance execution environment.
Why AI Needs Blockchain Infrastructure
The intersection of artificial intelligence and blockchain has been one of the most discussed topics in the technology sector throughout 2025. As AI models become more powerful and data-hungry, questions about data provenance, model verification, and decentralized compute have moved to the forefront. Blockchain technology offers compelling solutions to several of these challenges.
SKALE’s AI-focused chain is designed to address three core use cases: decentralized AI model training, on-chain inference verification, and AI agent orchestration. By providing a dedicated execution environment, the network avoids competing with general-purpose transactions for block space, a problem that has historically plagued popular Layer-1 networks during periods of high demand.
The rise of AI agents—autonomous programs that can execute complex tasks on behalf of users—has created an urgent need for blockchain infrastructure that can handle the high frequency of micro-transactions these agents generate. Traditional networks often struggle with the throughput requirements, making specialized solutions like SKALE’s Layer-3 an attractive option for developers building the next generation of AI-powered decentralized applications.
Technical Architecture and Capabilities
SKALE’s Layer-3 implementation uses a custom execution environment optimized for tensor operations and parallel processing, which are essential for AI workloads. The chain supports EVM compatibility, meaning developers can write smart contracts in Solidity and use familiar tooling such as Hardhat and Foundry, while also accessing specialized precompiles for common AI operations.
The network is designed to process thousands of transactions per second, a significant improvement over what general-purpose blockchains can offer for compute-intensive tasks. Gas fees remain at zero thanks to SKALE’s subscription-based model, where developers pay a flat monthly fee for chain access rather than per-transaction gas costs.
Interoperability with Base ensures that assets and data can flow seamlessly between the Layer-2 and Layer-3 environments. This is critical for applications that need to interact with DeFi protocols on Base while running AI computations on the specialized SKALE chain. The bridge mechanism uses verified merkle proofs for secure cross-chain communication.
Market Context and Industry Impact
The launch comes at a time when the blockchain industry is seeing a proliferation of Layer-3 solutions. Following the success of Layer-2 scaling networks like Arbitrum, Optimism, and Base, developers are increasingly exploring Layer-3 architectures for application-specific use cases. SKALE’s focus on AI positions it at the intersection of two high-growth sectors.
Coinbase’s Base has emerged as one of the most active Layer-2 networks in 2025, with growing developer adoption driven by its consumer-facing distribution through Coinbase’s 100 million+ verified users. By building on Base, SKALE gains access to this large potential user base while contributing to the ecosystem’s expanding capabilities.
Industry analysts note that the AI-blockchain convergence is still in its early stages, but the pace of infrastructure development is accelerating. Several other projects, including Ritual, Bittensor, and Render Network, are also building decentralized AI infrastructure, though each approaches the problem from a different angle. SKALE’s Layer-3 model differentiates itself through its focus on execution environment optimization and its established zero-gas-fee economic model.
Developer Opportunities and Next Steps
SKALE has opened applications for developers who want to deploy on the new AI-focused chain. Early access participants will receive subsidized chain subscriptions and technical support from SKALE’s engineering team. The network plans to roll out a comprehensive SDK specifically designed for AI-blockchain integration, including pre-built templates for common patterns like decentralized model marketplaces and AI-powered prediction markets.
The company has also announced partnerships with several AI infrastructure providers to ensure that compute resources are readily available for developers building on the chain. These partnerships address one of the key challenges in decentralized AI: ensuring that sufficient GPU and TPU resources are accessible through the blockchain network to support demanding workloads.
Why This Matters
SKALE’s AI-focused Layer-3 launch on Base represents more than just another product release—it signals a maturation of the blockchain ecosystem toward modular, purpose-built infrastructure. As the demands on blockchain networks diversify beyond simple value transfer to encompass complex computations, AI model serving, and autonomous agent coordination, the need for specialized execution environments will only grow.
For developers, this means new opportunities to build applications that were previously impractical on general-purpose blockchains. For the broader crypto market, it adds another layer of infrastructure that could attract traditional AI companies and developers who have been skeptical about blockchain’s ability to handle their workloads. The success of this initiative will likely influence how other networks approach the AI opportunity in 2026 and beyond.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Cryptocurrency markets are highly volatile, and readers should conduct their own research before making any investment decisions. Past performance is not indicative of future results.
L3 on an L2 on an L1 and zero gas fees. somewhere a economist is crying. the subsidy math has to break eventually
building AI infra on a chain nobody is talking about is either visionary or delusional. SKALE has been quiet so long i forgot they existed
SKALE building on Base instead of their own L1 is pragmatic. the modularity thesis keeps winning
zero gas fees on an L3 built on top of an L2 built on top of L1. the modularity stack is getting wild. wonder what latency looks like in practice though
layer3_or_bust L3 on an L2 on an L1 and somehow zero gas fees. someone is subsidizing this and i wanna know who and for how long
Lars P. the subsidy question is the right one. Base L2 fees are low but not zero. SKALE is eating that cost somewhere and investors should know where
SKALE has been quiet for a while so this is a welcome pivot. AI workloads onchain is still mostly theoretical but at least someone is building the infra
^ the theoretical part is the problem. show me one AI model training pipeline that actually benefits from being on a blockchain and I will eat my hat
model training onchain is a stretch but inference workloads with verifiable outputs? that actually makes sense and nobody is talking about it
gpu_compute nailed it. verifiable inference outputs onchain is the actual use case. training on chain is theater
inference_pilled verifiable inference outputs is the actual use case here. training models on chain is performance art, running inference with proof is real
SKALE went quiet because they were building. respect the builders who ship instead of tweeting all day