Simulate a Rocket Landing on Mars
Clore enables the training of physics-based AI models or the conduct of advanced scientific research on demand.
Compute should be everywhere — yet for many developers, researchers and startups, high-performance infrastructure remains frustratingly out of reach.
Whether it’s a neural network, a simulation or 3D rendering, every ambitious idea needs GPU power — and that power is still gatekept.
Centralized providers dominate the market, pricing out smaller teams. Long queues, inflated fees and rigid setups leave brilliant builders stuck at the starting line.
Gartner projects that 80% of global enterprises will boost their AI infrastructure budgets by 2026. But who will build with it?
While hyperscalers serve the giants, real innovation happens in home labs, indie studios and small research teams — those who don’t need complexity; they need access.
Training large-scale AI models can feel like breaking into a locked room for those not backed by venture capital or part of a well-funded institution.
Startups, students and even researchers face a trilemma:
In short, it’s not a lack of ideas that holds innovators back — it’s the lack of accessible computing.
Clore.ai — an open GPU marketplace where users set prices for their hardware — enters the stage to transform idle GPU power worldwide into a decentralized compute layer accessible to anyone.
By eliminating traditional restrictions, Clore empowers users to unlock the full potential of GPUs while participating in a community-driven ecosystem.
From a single-user desktop to a hundred-rig AI pipeline, Clore empowers developers to train, iterate and deploy without upfront hardware costs, long waitlists or lock-in contracts. It’s a new blueprint for accessible AI infrastructure where computing is distributed, dynamic and community-driven.
At its core, Clore is a decentralized GPU marketplace powered by its community. GPU owners worldwide contribute their hardware to a shared pool, forming a permissionless infrastructure for developers and researchers. Unlike fixed-price cloud services, Clore allows hardware owners to set their own rates, fostering an open GPU economy.
The barrier to entry is remarkably low: through Clore’s desktop app, users can deploy hundreds of machines with just a few clicks, with no need for provisioning delays or complex system configurations. Hardware providers also benefit from an attractive incentive structure, including rental income and coin rewards.
Clore’s app-based interface adds to this flexibility. Users don’t have to manually configure setups or write scripts — Clore offers plug-and-play workflows, including pre-installed frameworks for Stable Diffusion, ControlNet and other popular machine learning (ML) tools. Users just open the app, connect and start training.
Clore converts thousands of unused GPUs into a global, decentralized computing layer. Community-owned hardware drives open access to AI training, scientific simulations, 3D rendering and crypto mining.
What happens when a GPU isn’t actively rented?
Clore’s answer is Gigaspot — a real-time auction engine that automatically puts idle GPUs to work mining the most profitable cryptocurrency at that moment.
It takes less than 0.1 seconds to pivot from AI training to mining, ensuring no hardware sits idle and every second is monetized.
In this win-win scenario, developers access affordable computing, while server owners receive consistent revenue, with or without demand peaks.
By eliminating traditional restrictions, Clore empowers users to unlock the full potential of GPUs while participating in a community-driven ecosystem.
At the heart of Clore’s decentralized marketplace is the CLORE coin — a layer-1, proof-of-work (PoW) cryptocurrency fueling everything from GPU rentals to governance.
Fairlaunched with no premine and a capped supply of 1 billion coins, CLORE serves as both a payment method within the marketplace and the foundation of its incentive systems.
Through Proof of Holding (PoH) , long-term participants can lock their coins to earn rewards and receive up to 50% discounts on platform fees. Unlike traditional staking models, PoH offers full flexibility — no lock-ups, no penalties — while anchoring coin value to real-world usage.
Currently listed on 15 exchanges, CLORE is evolving alongside the platform it powers, with a transition to proof‑of‑stake (PoS) underway to enhance sustainability and community-driven governance.
Users can deploy LLama in just a few clicks and operate fully local large language models — no cloud dependencies, no surveillance.
In addition to AI training, users can harness GPU power for a variety of high-performance tasks, including:
Clore enables the training of physics-based AI models or the conduct of advanced scientific research on demand.
From real-time animation to high-end VFX, users can scale up dozens of GPUs instantly for creative workloads.
When compute is not in use, rigs automatically switch to mining the most profitable cryptocurrency using the Gigaspot system.
Users don’t just rent access — they rent and control the actual infrastructure, including GPUs, CPUs, RAM and OS.
Does it make sense to spend thousands of dollars on a high-end GPU, just to run occasional workloads?
Whether you’re launching an AI startup, conducting research, or producing cinematic visuals, Clore gives access to top-tier GPUs at a fraction of the cost, with zero maintenance, zero electricity bills, and no hardware overhead.
A fair comparison:
Clore has already crossed major milestones in decentralized computing — from its partnership with Vast.ai to the launch of a VPN service powered entirely by its network.
And looking ahead to 2026, Clore plans to:
Clore doesn’t sell the future; it hands the tools to build it.
Users can own their stack, train their models and ultimately contribute to building a better future for everyone.
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