Tech Roundup

Razer x Lambda TensorBook: A Laptop for Deep Learning Developers, Starting at 3500 USD

Razer x Lambda TensorBook targets deep learning developers with up to 4 times the performance of Apple M1 Max. It features an RTX 3080 Max-Q 16GB GPU, Core i7-11800H, 64GB RAM, and dual 1TB PCIe 4.0 SSDs.

Razer x Lambda TensorBook: A Laptop for Deep Learning Developers, Starting at 3500 USD

Razer x Lambda TensorBook is a collaboration between Razer and Lambda, a company that specializes in deep learning technology.

Although it is built on the gaming-focused Razer Blade 15, the TensorBook isn't aimed at gamers. It targets deep learning developers instead, and its default operating system is Linux.

As mentioned, the Razer x Lambda TensorBook is based on the 2021 Blade 15, finished in Mercury white and gray, with the Razer logo replaced by the Lambda logo. It is powered by a Core i7-11800H, but its GPU is the RTX 3080 Max-Q with 16 GB of GDDR6, rather than the 8 GB of GDDR6 found in the standard Razer Blade 15. It also has 64 GB of RAM and two 1 TB PCIe 4.0 x4 SSDs. The rest of the package is a 15.6" QHD 165 Hz display, with ports including 2 USB-C Thunderbolt 4, 3 USB-A, HDMI 2.1, an SD card reader and a 3.5 mm audio jack.

Razer X Lambda Tensorbook laptop for deep learning developers, starting at 3500 USD H1

The TensorBook comes with Ubuntu 20.04 LTS preinstalled, along with specialized deep learning tools such as Lambda Stack, PyTorch, Tensorflow, CUDA and cuDNN. If you prefer Windows, you can choose a dual-boot setup with both operating systems, and the deep learning toolkit will be preinstalled on both. Users pay an extra 500 dollars for this dual-boot configuration.

Razer X Lambda Tensorbook laptop for deep learning developers, starting at 3500 USD H2

Lambda says the TensorBook delivers up to 4 times the deep learning performance of the Apple M1 Max. With the configuration above and its supporting tools, the TensorBook is priced from 3499 USD up to 4398 USD, with the only difference being the warranty package.

Source: Lambda

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