Executive Summary
Artificial intelligence (AI) is the single most important technology we've ever seen. But what only a relative few can see is the imminent transformation of life as we know it once artificial general intelligence (AGI) is achieved—as soon as 2027, by some accounts. Whoever is first to roll it out at scale will be granted an unprecedented level of control over the future of humanity.
The race to AGI has created a thirst for compute so insatiable that there is no conceivable scenario where demand can be met. This has sent big tech, governments, and anyone else with the resources scrambling to secure enough GPU chips, spending tens of billions in the process. For those without the resources, they are stuck relying on expensive cloud compute providers.
Decentralized physical infrastructure networks, or DePINs, have emerged as an alternative. As distributed networks of aggregated small-scale infrastructure, they are designed to support rapid scale. In the compute context, this means GPU chips owned by data centers, tech companies, telecom companies, top gaming studios, and crypto mining companies.
As we move towards AGI, we are confronted with a problem that stands to alter the course of humanity if left unchecked: the unfair distribution of outcomes that stems from a handful of companies controlling a technology as important as AI. The widening AI wealth gap between the GPU Rich and GPU Poor is tilting the balance heavily in favor of big tech.
In response, we need to increase the accessibility of on-demand compute so that AI companies can claw control away from big tech and produce the innovative outcomes that will ensure AI is developed for the good of humanity. The only way to do this is by leveraging the power of DePINs to create a distributed network of affordable compute resources accessible by all.
WorldLand has built this distributed network. It aggregates enterprise-grade GPU chips into a single global network that increases the supply of on-demand cloud compute resources for the AI sector. Enterprise GPU owners can unlock the potential of their underutilized GPU chips, while end users get access to the affordable on-demand compute resources they need to power their AI training and inferencing workloads, rendering applications, and other compute operations.
What differentiates WorldLand from other cloud compute infrastructure is its verifiable computation model. Built on the ECCVCC (Error Correction Code Verifiable Computation Consensus) blockchain, WorldLand cryptographically proves that GPU work was actually performed—eliminating the need for trust in centralized authorities. Its distributed model is designed to streamline network expansion so that it can deliver the most optimal and affordable compute resources on demand to wherever they are needed. Five key features make this possible:
- Enterprise-grade compute resources with full SSH access and pre-installed CUDA environments
- Verifiable execution through on-chain evidence commitments and cryptographic proofs
- A distributed model that can scale much faster than its centralized counterpart
- Superior unit economics that make on-demand compute resources affordable
- Decentralized ownership that allows resource owners to retain control and earn fairly
WorldLand is powering the future of AI development. It's the cloud compute infrastructure designed specifically to support AI training and inference workloads at scale. It can serve AI researchers and developers across geographies with a seamless, affordable experience without the need for massive capital investment in hardware.
It's also enabling the democratization of AI through accessible GPU compute that was previously available only to big tech. WorldLand's distributed infrastructure is the foundation on which innovators can build the next generation of AI applications and ensure that artificial intelligence is developed for the good of humanity, not just the profit of a few corporations.
As a DePIN, WorldLand leverages Web3 to enable incentivization and consumption tracking. Resource owners—called Providers—are rewarded in WorldLand's native WL token for contributing resources to the network, while the ECCVCC blockchain is used to track resource consumption by end users and facilitate the transfer of rewards. Providers earn 90% of service fees, with the remaining 10% going to the protocol treasury for ecosystem development.
WorldLand's cloud compute infrastructure network supports a number of critical use cases, including AI model training, AI inferencing, scientific computing, and general GPU workloads. In each case, its capability for scalable, affordable, and verifiable compute can keep up with the demands of innovation in these areas.
The network consists of 3 core roles: Provider, Broker, and Customer. Providers contribute GPU resources to the network and earn WL tokens for their participation. The Broker orchestrates the matching of customers with suitable providers based on requirements such as GPU model, memory, and pricing. Customers consume GPU resources through SSH-accessible containers with guaranteed resource allocation. Together, they ensure that WorldLand can deliver the highest-quality verified compute to support the rapid growth of AI.
WorldLand's unique Verification Layer ensures that off-chain GPU execution results in enforceable, on-chain consequences. When a Provider completes a job, evidence is cryptographically committed to the blockchain. Random challenges are issued using public randomness, and Providers must respond with openings that prove their execution was legitimate. This commit-challenge-response protocol makes cheating economically irrational, as the expected penalty for skipping computation exceeds any potential savings.
The network also incorporates VCC (Verified Compute Credits), a durable on-chain accounting system for verified GPU contributions. VCC credits are gated by successful verification and influence future reward distribution and reputation within the network.
For more information, please read our whitepaper: