The new Tensorbook may look like a gaming laptop, but it’s actually a notebook designed to boost machine learning.
The laptop’s resemblance to popular gaming systems doesn’t go unnoticed, and that’s because it was designed by Lambda Labs in collaboration with Razer, a PC maker known for its line of sleek gaming laptops.
And the gaming chops are definitely there – this notebook sets itself apart from other machine learning laptops by coming with powerful hardware, including a dedicated Nvidia GeForce RTX 3080 Max-Q graphics processor, making it just as powerful for gaming.
In addition to optional support for dual booting in Windows, the Tensorbook could be the ideal notebook for developers to code, work and play without needing a separate system for gaming.
In addition to the increased hardware specs, the Tensorbook comes preloaded with Linux, Lambda’s deep learning software and the Lambda GPU Cloud, which the companies say gives engineers the tools and performance they need to create, train and test deep learning models. local.
“Most ML engineers don’t have a dedicated GPU laptop, forcing them to use shared resources on a remote machine, which slows down their development cycle.” said Stephen Balaban, co-founder and CEO of Lambda, in a blog post. “If your SSHing is stuck on a remote server, you don’t have any of your local data or code, and you even struggle to demonstrate your model to colleagues. The Razer x Lambda Tensorbook solves this. It comes preinstalled with PyTorch and TensorFlow and lets you quickly train and demonstrate your models – all from a local GUI interface. No more SSH!”
As for the hardware, the 15.6-inch Lambda Tensorbook comes with a screen resolution of 2560 x 1440 pixels and a refresh rate of 165 Hz, an Intel Core i7-11800 CPU with eight compute cores coupled with Nvidia’s GeForce RTX 3080 Max-Q GPU, 64GB of DDR4 memory, 2TB of solid-state storage, Thunderbolt 4 support, and a 1080p webcam — all in a very slim 4.4-pound aluminum case.
You wouldn’t be mistaken if you thought the Tensorbook’s design resembles Razer’s iconic Blade laptop, because it does. This notebook swaps Razer’s matte black color for a lighter silver-gray hue.
This makes the Tensorbook’s hardware powerful enough as a high-end mobile gaming system, but pure gamers will probably want to stick with Razer’s all-black notebooks. The primary Ubuntu Linux 20.04 LTS build of the Tensorbook may not be optimal for PC gaming, although you can choose to upgrade to a configuration that dual-boots to Windows if needed. Along with the Lambda stack, the companies also pledge a year of technical support through Lambda Labs.
The new Razer x Lambda Tensorbook is available now for $3,499. A similar Razer Blade 15 Advanced model configured with an Intel Core i6-11800H, GeForce RTX 3080, 32 GB RAM and 1 TB solid-state drive with a 15.6-inch QHD display and 240 Hz refresh costs $3,099. With Lambda’s pricing for the Tensorbook, it doesn’t seem like there’s much of a price premium for the partnership, if at all, as you get more RAM and a larger solid-state drive.
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