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AI · February 21, 2025

TensorPool

The easiest way to use cloud GPUs

TensorPool launched on February 21, 2025 with 192 votes, #198 of 5,999 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.

What it does

Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.

Deploy GPU clusters in seconds with TensorPool. Simple, fast, and affordable GPU infrastructure for ML training and inference.

Does a similar job

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  • TC
    TensorDock Core GPU Cloud – GPU servers from $0.29/hr2022 · tensordock.com · ▲147

    Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

  • GPU.LAND2021 · vedge.cloud · ▲126

    Affordable cloud GPUs for deep learning

  • Tensorflow Research Cloud2017 · sites.research.google · ▲288

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  • Foundations Atlas2019 · ▲96

    ML dev tool that saves you up to 8x in cloud GPU costs

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    Cloud GPUs from $0.29/hour. Cost-effective. API. Scalable.

  • DataMacaw2022 · aws.amazon.com · ▲67

    Train and run your AI models easily at low cost in the cloud

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