AI · alternatives · 2026

24 alternatives to Paperspace for Machine Learning
A Linux desktop in the cloud built for Machine Learning
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Paperspace for Machine Learning launched in 2016; newer entries below may have overtaken it.
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Desktops in the cloud, now launched and great for teams
2016 · paperspace.com · its alternatives →
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Distill▲200An interactive, visual journal for Machine Learning research
2017 · distill.pub · its alternatives →
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Build with Apple's on-device AI, now open to developers
2017 · machinelearning.apple.com · its alternatives →
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The easiest cloud IDE for deep learning
2018 · blog.floydhub.com · its alternatives →
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Accelerating open machine learning research with Cloud TPUs
2017 · sites.research.google · its alternatives →
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PredictionIO▲172Open source machine learning to predict/learn user behavior
2014 · prediction.io · its alternatives →
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Powerful cloud-based predictive analytics, ML as a Service
2014 · azure.microsoft.com · its alternatives →
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Machine Box▲94Run, deploy & scale state of the art machine learning tech
2017 · machinebox.io · its alternatives →
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Discover, annotate, write and share scientific research.
2016 · sciwheel.com · its alternatives →
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Collaborate with agents for work
2025 · useportals.dev · its alternatives →
- 15
PaperClip▲98Memorize details from papers in machine learning and AI
2023 · paperclipapp.xyz · its alternatives →
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SHAXPIR 2.0▲77A modern cloud workspace for fiction writing & worldbuilding
2016 · shaxpir.com · its alternatives →
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ruOSfree tier▲103A cloud desktop where AI agents do the work for you
16d ago · ruos.cognitum.one · its alternatives →
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Build and train machine learning models with Google
2017 · blog.google · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →