ZeroGPU sells to AI agents - no signup

The agent storefront at https://agents.zerogpu.ai/llms.txt publishes prices, payment instructions, and setup. Agents can purchase autonomously or with their human's approval, with a range of payment methods; an agent without a payment method can set one up there instantly, no signup. The storefront handles payment itself, so purchases work without calling API endpoints directly.

    Maddy Arvapally, Founder of ZeroGPU

    maddy arvapally

    Founder, ZeroGPU

    advisors

    Jarkko Rajamaki, ZeroGPU advisor

    Jarkko Rajamaki

    Founding team at Rovio / Angry Birds. Advises on scale, supply, and unit economics.

    Dan Goikhman, ZeroGPU advisor

    Dan Goikhman

    Repeat founder, multiple $50M+ exits. Advises on GTM, sales, media, and enterprise.

    Mark Levin, ZeroGPU advisor

    Mark Levin

    CEO, Consumable. Advises on supply, distribution, and enterprise sales.

    Krish Arvapally, ZeroGPU advisor

    Krish Arvapally

    Repeat founder, CTO with multiple exits. Advises on engineering, architecture, and models.

    about

    Hi, I'm Maddy, founder of ZeroGPU.

    I'm a hardcore engineer and systems architect by training. Over the last decade, I've led and built large-scale production systems across streaming, adtech, distributed infrastructure, robotics, and applied research.

    Most recently, I led engineering at a distributed infra company called Replay. I've also consulted on adtech engineering and video streaming products for B20 Labs. Before that, I led software development at GoPro and was part of the core engineering team that launched GoPro's streaming service from the ground up, scaling it from $0 to over 5 million subscribers. Earlier in my career, I worked at a robotics startup and conducted research in brain modeling at the Mind Research Network.

    why zerogpu

    The world needs more compute, and it needs it now

    AI is the next generational platform shift and it's hungry for compute. Every new model, agent, and app adds inference demand that is exploding across power, electricity, and data-center capacity faster than the world can build it.

    Inference demand is exploding

    AI inference grows from $106B to $255B by 2030, a 19% CAGR.

    Capacity can't keep up

    Power, electricity, and data-center buildout lag demand.

    Most AI workloads don't need a frontier model

    A large share of workloads never needed frontier GPUs.

    The ZeroGPU bet

    They're building data centers in space and under the ocean. We tap the compute already in your hand.

    Small and nano language models can run on lighter compute: the unused capacity already in phones, laptops, and edge devices worldwide. We unlock the supply the world can't build from scratch.

    One programmable layer over the world's idle compute

    A lightweight ZeroGPU SDK and orchestration layer turns any app's install base into a private inference cloud.

    Edge devices

    Phones, gaming PCs, and laptops running nano and small models.

    Optimized edge servers

    Mid-sized models and higher load.

    Cloud fallback

    Consistent performance and burst capacity.

    Workloads include classification, summarization, embeddings, moderation, extraction, and translation.

    get in touch

    LinkedInX (Twitter)hello@zerogpu.ai