Razer, the American PC parts and accessories manufacturer and Lambda Labs. Inc, a deep learning infrastructure company seem to be two very different companies with very different agendas. However, strangely enough, they both have joined hands to launch the new Tensorbook, which combines hardware from Razer with Lambda’s deep learning software to create the world’s first machine learning laptop.
Tensorbook Design & Specifications
Starting from the design, the Tensorbook seems to be a normal Razer Blade 15 except for the lambda logo on its lid and offers a 15.6-inch 165Hz Quad HD (2560×1440) display with fairly slim, grey coloured bezels on three sides.
On the hardware side of things, the Tensorbook packs an Intel Tiger Lake Core i7-11800H octa-core processor that offers 4.6 GHz of turbo clock speed, 64GB of DDR4 RAM and 2TB of SSD storage. Besides the powerful processor, the Tensorbook also offers Nvidia’s RTX 3080 Max-Q GPU with 16GB of GDDR6X VRAM.
However, things get a little strange on the software side of things, as instead of a typical Windows 10 or 11 operating system, the Tensorbook ships with Ubuntu distro of Linux 20.04 along with Lambda Stack, Lambda’s deep learning suite of applications and a multitude of other tools including PyTorch, Tensorflow, CUDA and cuDNN.
Last but not the least, the lambda claims that the Tensorbook is rated to offer up to four times the machine learning performance of the Apple M1 Max with a 32-core GPU, especially in vision-related machine learning tasks.
Tensorbook Pricing & Availability
Specifications aside, the Razer x Lambda Tensorbook will be available starting from today at a hefty price tag of $3,499, which gets you this beast of a laptop with the aforementioned specifications and Lambda’s Machine learning suite of applications.
There’s also a $600 add-on that can get you 2 years of Lambda premium support. Whereas, another $1,500 add-on adds one more year of premium support along with the ability to dual boot the laptop into Windows 10.
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