TensorBook

Deep Learning Laptop

GPU laptop with RTX 2070 Max-Q or RTX 2080 Max-Q. Ubuntu, TensorFlow, PyTorch, Keras, CUDA, and cuDNN pre-installed.

TensorBook, a GPU Laptop for Deep Learning

Trusted by thousands of customers worldwide

Researchers and engineers at universities, start-ups, Fortune 500s, public agencies, and national labs use Lambda to power their artificial intelligence workloads.

Apple is a customer MIT is a customer Los Alamos National Lab is a customer Carnegie Mellon University is a customer Google is a customer Wells Fargo is a customer Anthem is a customer

Top Configurations

Optimized configurations that won't bottleneck

Our top configuration are benchmarked and tuned to eliminate CPU, memory, and storage bottlenecks when running deep learning workloads.

Basic
Tensorbook Basic, a Deep Learning Laptop with RTX 2070 Max-Q

RTX 2070 Max-Q
Intel i7-9750H Processor (6 Cores)
32 GB DDR4 Memory
1 TB SSD (NVMe)
16.1" Display (1920x1080)
$ 2,600
Customize
Premium
Tensorbook Premium, a Deep Learning Laptop with RTX 2070 Max-Q

RTX 2080 Max-Q
Intel i7-9750H Processor (6 Cores)
32 GB DDR4 Memory
1 TB SSD (NVMe)
16.1" Display (1920x1080)
$ 3,100
Customize
Max
Tensorbook Max, a Deep Learning Laptop with RTX 2080 Max-Q

RTX 2080 Max-Q
Intel i7-9750H Processor (6 Cores)
64 GB DDR4 Memory
1 TB SSD (NVMe)
16.1" Display (1920x1080)
$ 3,300
Customize
Custom

Custom Laptop
+1 (866) 711-2025
Live Chat

Not seeing what you're looking for?

GPUs, processors, storage, networking, and memory are fully customizable. Get in touch and we'll design a system that matches your specifications.

Zero setup, easy updates

Lambda Stack comes free with your computer. Machine Learning libraries work out-of-the box and can be updated automatically.

Ubuntu 18.04 comes pre-installed
TensorFlow comes pre-installed
PyTorch comes pre-installed
Keras comes pre-installed

Frequently asked questions

Not seeing the answer to your question? Contact sales

What if my laptop develops a hardware issue?
Lambda offers perpetual support from our engineers and up to 3 years of warranty. If you experience issues with your TensorBook, our engineers are available by email at support@lambdalabs.com and by phone at +1 (855) 882-6011. We will immediately replace any faulty components (e.g. GPU, CPU, battery), which you may return at your convenience. If your TensorBook is still under warranty, all replacements will be free of charge. Solutions to technical issues may also be found within our community, Deep Talk.
Are discounts available for academics or students?
Yes, we offer a 3% discount on TensorBooks for academics and students. To get your discount, email us at enterprise@lambdalabs.com or by phone at +1 (866) 711-2025.
Are discounts available for bulk purchases?
Yes, we offer bulk discounts. Pricing will depend on project size. For details, please contact us by email at enterprise@lambdalabs.com or by phone at +1 (866) 711-2025.
How long will it take for my laptop to ship?
Your TensorBook will typically ship within 1 to 3 business days after purchase.
Does Lambda offer shipping to countries outside the United States?
Yes, Lambda ships globally. Please note if you're outside the United States, your order may be subject to duties and tariffs. For more information, please contact our sales team.
What operating systems are available for the TensorBook?
The TensorBook can be pre-installed with either Ubuntu 18.04, Ubuntu 16.04, or Windows 10 Pro.
Does Lambda offer dual booting of operating system?
Yes, we can dual boot your TensorBook with Windows 10 Pro and Ubuntu 18.04. For more details, please contact us by email at enterprise@lambdalabs.com or by phone at +1 (866) 711-2025.
What payment methods are accepted?
We accept wire transfers, ACH transfers, and credit cards. Please note that credit card transactions are subject to an additional 3% charge.
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Explore Lambda's Research

Our research papers have been accepted into the top machine learning and graphics conferences, including ICCV, SIGGRAPH Asia, NeurIPS, and ACM Transactions on Graphics (TOG).

HoloGAN: Unsupervised Learning of 3D Representations from Natural Images
We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images. Learn More
RenderNet: A Deep Conv. Network for Differentiable Rendering from 3D Shapes
Traditional computer graphics rendering pipelines are designed for procedurally generating 2D images from 3D shapes with high performance. Learn More
Adversarial Monte Carlo Denoising with Conditioned Aux. Feature Modulation
Denoising Monte Carlo rendering with a very low sample rate remains a major challenge in the photo-realistic rendering research. Learn More