Lambda Tensorbook: Razer Linux laptop for deep learning with RTX 3080

Lambda Labs, a deep learning and infrastructure operator, and PC and peripheral manufacturer Razer, which is particularly popular among gamers, have jointly developed an Ubuntu-based “deep learning laptop” with a custom Nvidia GeForce RTX presented. 3080 Max-Q.

Core i7-11800H and GeForce RTX 3080 Max-Q

The Lambda Tensorbook is based on the Intel Core i7-11800H processor, which is still based on Tiger Lake and not yet on the first generation hybrid Alder Lake, with up to 4.60 GHz (8C/16T), a TDP of 45W and the aforementioned Nvidia GeForce RTX 3080 Max-Q with 16GB of GDDR6 memory. This is a GeForce RTX 3080 laptop GPU with 6144 CUDA cores, which should handle a cTDP of 80W according to the “Max-Q” suffix.

64 GB DDR4 and 165 Hz board

According to the manufacturer, the Lambda Tensorbook with the following specifications should run up to ten times faster than a Google Colab cloud solution and up to four times faster than the Apple M1 Max when it comes to deep learning.

On top of the Lambda Tensorbook, which looks like a larger Razer Book 13, is Ubuntu 20.04 LTS, which will soon replace Ubuntu 22.04 LTS, and several deep learning software such as the open source PyTorch library, the TensorFlow framework, and CUDA also have existing drivers pre-installed.

Available from $3,499

The Lambda Tensorbook can be configured via the manufacturer’s store with prices starting at $3,499 and in this case a one-year manufacturer’s warranty. With a two- and three-year warranty, respectively, it’s worth $4,099 and $4,999.

Dual boot consisting of Ubuntu 20.04 LTS and Windows 10 costs an additional $500 and is only included as standard with a $4999 configuration.

For more information, visit the official website as well as the FAQ and specs for this Linux laptop.