Tensorbook laptop targets AI developers

Razer x Lambda Tensorbook. © Lambda.

An unusual and unexpected duo: Razer and Lambda pair up to build a laptop specifically for deep learning. In tango with Lambda who manufactures servers, workstations and GPU clusters for machine learning, Razer, a maker of gaming PCs and peripherals, steps onto the scene. The Razer x Lambda Tensorbook comes equipped with an Nvidia RTX 3080 Max-Q (16Gb) and is designed for machine-learning engineers. The Ubuntu-powered laptop comes loaded with Lambda Stack to make it easier to install deep learning frameworks such as PyTorch, TensorFlow, Caffee and Caffee 2, CUDA and cuDNN applications, and other development tools.

Actually, Lambda doesn’t make laptops. The contestant called on Razer to build the type of machine it imagined its audience wanted. Tensorbook thus looks a lot like Razer computers, with a lightweight and slim build, side speakers and a fast, 15.6-inch (165 Hz, 2,560 × 1,440) screen. It comes equipped with a last-gen Intel i7-11800H processor (with a 2.3 GHz octa-core that can boost to 4.6 GHz), and uses 64GB of DDR4-3200 RAM and 2TB of PCIe 4.0 SSD storage. The extensive port options include two Thunderbolt 4 ports, three USB-A ports (3.2 Gen 2), HDMI 2.1, a headset jack and an SD card reader. Priced at 3,500 USD, it’s for sale on the Lambda website.

⇨ YouTube, “Razer x Lambda Tensorbook - The Deep Learning Laptop”

⇨ Ars Technica, Scharon Harding, “Razer-designed Linux laptop targets AI developers with deep-learning emphasis.”

2022-04-13