The Razer x Lambda Linux laptop performs machine learning

Lambda x Razer Tensorbook

Screenshot: Lambda

Razer the latest laptop arrived, but it was not what we expected. It’s not just that Razer Court 15 doppelganger is not intended for play, but it is not even sold by Razer. This is a unique new notebook instead a partnership between Razer and Lambda, a company that builds workstations, GPUs and servers for machine learning. It will be marketed as an “in-depth training” laptop, not as a system designed for gamers.

The laptop is called Razer x Lambda Tensorbook. and it is almost the same as last year Razer Blade 15 Advanced. It distributes one component: 15.6-inch display, 1440p at 165 Hz, 11th generation Intel Core i7 CPU, 64 GB of RAM, 2 SSD storage SSD and Nvidia RTX 3080 Laptop (16 GB vRAM). GPU. And here it is: there is a configuration that sells for $ 3,500.

Lambda makes bold claims about laptop machine learning capabilities and states on its website that the system is up to 4 times faster than Apple’s MacBook Pro 16, which works with Apple’s M1 Max chip while meeting vision and language learning standards.

“Most ML engineers don’t have a dedicated GPU laptop, which forces them to use shared resources on a remote machine and slows down their development cycle.” wrote Stephen Balaban, founder and CEO of Lambda, in a blog posts. “When you stick SSHing to a remote server, you don’t have any local data or code, and you even have trouble showing your model to colleagues. The Razer x Lambda Tensorbook solves this. It’s pre-installed with PyTorch and TensorFlow, and allows you to quickly learn and demonstrate your models: all from the local GUI interface. ”

The only customization options for the software and warranty are: a basic choice of $ 3,500 with Ubuntu 20.04 with Stack Lambda (including drivers, PyTorch, TensorFlow, CUDA and others) and a one-year warranty, a “standard” version for $ 4,100 and gives you a two-year premium and Enterprise edition $ 5,000 on Windows 10 and a third year high warranty.

From the outside, the Tensorbook is similar to the Razer Blade 15 with custom painting work. It is the same size and weighs 4.4 pounds, but replaces the black exterior with silver with matching white keys and replaces Razer’s popular green USB ports with purple ports. If you ask me, the Lambda purple logo on the Tensorbook looks better than the Razer three-legged green snake. In any case, the Tensorbook comes with a choice of a sturdy port: two Thunderbolt 4 ports, three USB-A ports (3.2 Gen 2), HDMI 2.1, a headset card and an SD card reader.

Tensorbook does not have any custom performance optimization therefore, it does not work from other gaming laptops with similar or better features. It’s not even Razer’s powerful system that the company has upgraded its system to fleet to Intel 12th Gen processor. What makes Tensorbook unique is the built-in software package, which includes one-line installation and management options for in-depth study frameworks such as PyTorch, TensorFlow, Caffee and Caffee 2 along with CUDA-focused GPU applications and cuDN.

Razer founder and CEO Min-Liang Tan wrote on Facebook in 2017, the company will create “the best laptop in the world that supports Linux”. It never happened. Hope Tensorbook is successful so Razer is forced to build its own Linux system – eventually, Valve and Google are already using the OS as a gaming platform.

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