Lambda and Razer announce the Tensorbook, a powerful and sleek new laptop designed for machine learning ^↺

Lambda, a company focused on creating machine learning software and building PCs that can run it, and Razer today announced the new Razer x Lambda Tensorbook, a powerful and beautiful new laptop designed specifically for deep learning.

The new Tensorbook is packed with high-end hardware picked specifically for machine learning. It runs on an Intel Tiger Lake Core i7-11800H CPU (8 core, up to 4.6 GHz) and an NVIDIA RTX 3080 Max-Q GPU (16 GB VRAM). The Tensorbook comes pre-installed with 64 GB of DDR4 RAM and 2 TB of SSD storage. All of this is wrapped in a relatively thin aluminum chassis that evokes the Razer Blade in design. The Tensorbook has Thunderbolt 4 and three USB-A 3.2 ports, as well as an HDMI port and an SD card reader.

The new Tensorbook ships with Ubuntu Linux 20.04 LTS, although there is an option to dual-boot Windows, and comes pre-installed with a handful of Lambda's machine learning software, dubbed "Lambda Stack." This includes PyTorch, TensorFlow, CUDA, cuDNN, and drivers for the NVIDIA GPU. Lambda will also throw in a full year of engineering support.

Stephen Balaban, the co-founder and CEO of Lambda, said that the new Tensorbook aims to solve a problem encountered by many machine learning engineers by creating an individual machine dedicated to AI and DL development. He stated:

Most ML engineers don’t have a dedicated GPU laptop, which forces them to use shared resources on a remote machine, slowing down their development cycle. When you’re stuck SSHing into a remote server, you don’t have any of your local data or code and even have a hard time demoing your model to colleagues. The Razer x Lambda Tensorbook solves this. It’s pre-installed with PyTorch and TensorFlow and lets you quickly train and demo your models: all from a local GUI interface. No more SSH!

The new Razer x Lambda Tensorbook is available now from Lambda (lambdalabs.com) for US$3499.