Razer unveiled a rather eye-catching novelty linux laptop as it seeks to make its mark in sectors beyond PC games.
The new Tensorbook is the result of a collaboration with a company called Lambda, which specializes in personal work places, waiters and cloud services for machine learning.
The laptop is specifically designed for scientific workloads and has been touted by both companies as “the world’s most powerful deep learning laptop”.
Razer x Lamba Tensorbook
All models of the Tensorbook feature an Intel Core i7-11800H processor, Nvidia GeForce RTX 3080 Max-Q GPU, 2TB SSD and 64GB RAM, and a 1440p display 15.6 inches.
As for IO, the mobile workstation includes two Thunderbolt 4 ports, three USB Type-A ports, an HDMI 2.1 connector, a 3.5mm jack, and a SD card reader.
According to Lamda, this configuration delivers up to 4x faster AI model training performance than Apple’s already impressive M1 Max, and up to 10x the performance of Google Cloud instances. The company didn’t offer a comparison to the M1 Ultra.
However, the main differentiator of the laptop is the level of software support. Lambda says the Tensorbook comes with all the necessary drivers and tools (including PyTorch, TensorFlow, Keras and more) to streamline the development and testing process, right out of the box.
As you’d expect, the Tensorbook isn’t cheap. Although the hardware is identical for all references, prices vary considerably depending on the software provided and the length of the warranty.
At $3,499.99, the cheapest model comes with Ubuntu 20.04, the Lamba software package, and a one-year warranty. For an additional $500, customers can double the length of the warranty, and for an additional $1,500 the top-tier SKU comes with a three-year warranty and Ubuntu and Windows pre-installed.