We hope you find this list helpful in searching for a performance-oriented laptop for your deep learning, machine learning, and data science projects. Operating system: Ubuntu 20.04 and/or Windows 10 Pro.ĭisclaimer: Lambda is one of our sponsors.Storage: 2 TB (1 TB NVMe SSD + 1 TB of SATA SSD).CPU: Intel Core i7–10870H (16 threads, 5.00 GHz turbo, and 16 MB cache).GPU: RTX 3080 Super Max-Q (8 GB of VRAM).TensorFlow & PyTorch are pre-installed and work out-of-the-box. 📚 Let’s get started! Featured Sponsor Lambda TensorBook 📚 Check out our editorial recommendations for the best deep learning workstations. For feedback, questions, or concerns, please email us at. For this article, as an Amazon Associate, Towards AI may receive a small commission from qualifying purchases made from it (at no extra cost to the buyer). ĭisclosure: Our editorial team at Towards AI writes authentic and trustworthy reviews and may receive a small compensation on products we select to support Towards AI’s efforts. If you have any suggestions to add to the list, please let us know by emailing us at. Our mailbox is full of emails from AI enthusiasts asking us for the best laptops for AI projects.

We will continuously update this resource with powerful and more performant laptops for every budget as technology evolves to bring you the best suggestions for your machine learning, data science, and deep learning projects and adventures. That’s why we looked at over 2,800 laptops to bring you what we consider the best laptops for your projects on machine learning, deep learning, and data science. Machine learners, deep learning practitioners, and data scientists are continually looking for the edge on their performance-oriented devices.

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