Given the new laptop is equipped with a 15.6-inch 1440p 165 Hz display, one can theoretically game on it as long as the title you're playing is available in native form on Linux or works through things like Wine or Proton. We're not sure why Razer and Lambda went with a Tiger Lake CPU instead of an Alder Lake part as it did with the latest Razer Blade refresh, but at least the Tensorbook is equipped with Nvidia's RTX 3080 Max-Q GPU with 16 gigabytes of VRAM and two terabytes of PCIe SSD storage. The internals include a Core i7-11800H paired with 64 gigabytes of DDR4 memory. Even the ports are purple-colored instead of green to keep things in line with the Lambda branding. The hardware side of things looks a lot like a Razer Blade 15, save for the silver color and the Lambda logo replacing the familiar tri-headed snake. That's where a laptop like the Tensorbook comes in, which is sold pre-loaded with Ubuntu and the Lambda Stack that includes all the necessary drivers, PyTorch, TensorFlow, cuDNN, CUDA, and other machine learning tools and frameworks. To that end, it has partnered with Lambda, a company with experience in deep learning hardware infrastructure and the most widely used ML software frameworks.įor people who work in this area of expertise, a Linux workstation is a handy tool as most of these applications end up being deployed on Linux production servers. When it isn't busy making sleek laptops for gamers, Razer can come up with a laptop fine-tuned for enterprises that develop deep-learning applications for various fields such as medical research, manufacturing, and natural language processing. Instead, it's a "Tensorbook" designed for engineers and organizations that develop machine learning applications, especially if they use Lambda's GPU clusters and software stack. In brief: Razer's latest laptop isn't a Razer Blade for gaming enthusiasts.
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January 2023
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