Hyperscalers extract 40% margins from the $80 Billion AI cloud market. Decentralized solutions, poised to disrupt, remain unusable.
WIP: last updated 7 August, 2025
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Today, hyperscalers extract 40% margins from the $80 billion AI cloud market that grows at 32% annually—throttling access, stifling innovation, and stalling the anticipated $10 trillion AI economic gain. Startups like Manus pay $2 per Agent inference, which is unsustainable at scale, while individual users already face $200 monthly subscriptions for products like OpenAI Pro, making AI unaffordable for most. Meanwhile, training frontier models such as Llama 3.1-405B now costs $170 million, confining model development to a few well-capitalized companies.
Decentralized solutions, poised to disrupt, remain unusable. Current marketplaces offer only fragmented compute. Crucially, they lack the interconnects needed to scale large-model workloads—there is no decentralized equivalent to Nvidia NVLink in data centers**.** The network defines the data center, centralized or decentralized. Moreover, decentralized systems are painfully complex, and users have no simple way to integrate decentralized AI.
Gata builds an API-driven platform for fully managed, decentralized inference and training — open to compute contributions & enabling any team to tap into decentralized AI with ease.
Unified, API-Driven Platform—Not a Marketplace Existing decentralized compute platforms are all marketplaces, forcing users to manage raw hardware and decentralized network complexity. This significantly increases user friction, which kills adoption. Gata abstracts this complexity by providing simple APIs for fully managed, decentralized inference and training services. This lets developers access decentralized AI with the same ease as any cloud provider, unlocking real-world adoption.
High-performance Software Interconnect Centralized data centers achieve massive AI scale through hardware interconnects like Nvidia InfiniBand and NVLink. In contrast, current decentralized solutions only offer fragmented compute and cannot scale AI workloads efficiently. Gata solves this by building software interconnects—software solutions including model sharding, tensor-level orchestration, communication compression, and asynchronous inference and training—that unify distributed compute resources into a single API. This breakthrough enables AI to scale outside data centers, unlocking cloud hyperscaler performance without physical or geographic constraints.
On-Chain Cost-Plus Pricing Centralized platforms charge users the maximum amount they are willing to pay. Gata replaces this with transparent, on-chain cost-plus pricing: every compute contribution and usage is recorded on decentralized storage & blockchain, at the most granular level—floating point operations (FLOPs). API users pay—and compute contributors earn—precisely for what they consume or provide, with Gata charging a transparent platform fee. All transactions are fully auditable on-chain.
Instant Settlement via Stablecoin Traditional centralized AI services trap payments and payouts behind opaque, delayed billing cycles, constraining contributors' liquidity and flexibility. Gata solves this by integrating stablecoins for on-chain billing and instantaneous payouts, cutting settlement time from days to seconds. Compute contributors are free to join, scale, or exit instantly, receiving real-time compensation directly proportionate to their work. This transforms compute supply from rigid and centralized to fluid and decentralized—critical for sustaining a truly global, dynamic compute network.
Open Execution Infrastructure Unlike centralized platforms that require billions in CapEx to provision compute, Gata’s infrastructure allows any contributor to add or remove compute at any time. This enables massive horizontal scaling and resilience, decoupling AI execution from centralized data centers.
