• AI workloads are growing fast, but current infrastructure is costly, inefficient, and unsustainable

    Artificial Intelligence is booming,

    and so, its energy footprint.

    Renewable plants around the world waste millions of megawatts every year because they can’t feed all their output into the grid.

    At the same time, many companies are investing in AI capacity they rarely use, leading to underutilized infrastructure and rising operational costs.

    The result? A growing gap between AI innovation and energy efficiency

    We need a smarter way to run AI

  • The Solution: SPLID.AI

    A distributed marketplace that connects surplus renewable energy with AI workloads

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    SplidPODs: Modular AI at the Edge

    Modular containerized data centers deployed

    next to renewable energy sources

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    Surplus-Aware Scheduling

    AI workloads dynamically routed to available SplidPODs based on surplus energy

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    Plug-and-Play API Integration

    API & platform UI to queue AI jobs

    on surplus-powered infrastructure

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    Distributed AI Marketplace

    Marketplace matching compute demand with surplus supply whether it’s from a SplidPod, a hyperscaler, or idle enterprise infrastructure.

  • How SPLID works: From surplus energy to sustainable compute

    A step-by-step look at how AI jobs are powered by clean energy, not wasted

    Queue

    your AI workloads

    Upload batch tasks via Splid’s platform or API

    Dynamic

    Green Scheduling

    Jobs are dispatched based on energy availability

    Get results

    at lower cost

    Clean, cost-effective compute without complexity

  • Who it is for

    For anyone with clean energy, compute demand, or idle capacity

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    AI-Intensive Companies

    Run batch jobs sustainably without cloud overhead

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    Renewable Energy Producers

    Monetize surplus by hosting Cisco AI based ©SplidPODs

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    Enterprises with idle compute

    Join the network and get paid for your unused GPU cycles

  • Impact & Benefits

    Tangible results for your business, your infrastructure, and the planet

    Up to 80% cost reduction for

    batch AI tasks

    100% renewable-powered workloads

    Supports global

    decarbonization goals

    Optional privacy-preserving deployment on private nodes

  • Splid.ai is built on the most advanced infrastructure

    Backed by Technology Leaders

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    Cisco AI PODs

    High-performance, enterprise-grade AI servers designed for scalability and seamless integration, forming the core of every SplidPOD.

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    NVIDIA GPUs

    Industry-leading GPUs (A100/H100) optimized for AI model training and inference, enabling fast and efficient batch processing.

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    Cisco Immersive liquid cooling

    Advanced liquid cooling technology that significantly reduces energy waste and hardware degradation, enabling dense compute with minimal footprint.

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    Smart monitoring dashboard

    A cloud-native platform that orchestrates AI workloads dynamically based on energy surplus, infrastructure availability, and sustainability goals.

  • Join the Beta Program

    Are You Ready?

    Let's Go to Work!