Razer’s latest laptop has arrived, nevertheless it’s not what we have been anticipating. Not solely is that this Razer Blade 15 doppelganger not meant for gaming, nevertheless it’s not even being bought by Razer. This distinctive new pocket book is as a substitute a collaboration between Razer and Lambda, an organization that makes workstations, GPUs, and servers for machine studying. It’s being marketed as a “deep learning” laptop computer, not as a system meant for avid gamers.

The laptop computer is named the Razer x Lambda Tensorbook, and it’s virtually similar to final yr’s Razer Blade 15 Advanced. It shares the identical organs: a 15.6-inch, 1440p show at 165Hz, an eleventh Gen Intel Core i7 CPU, 64GB of RAM, 2TB of SSD storage, and an Nvidia RTX 3080 (16GB vRAM) laptop computer GPU. And that’s it: there’s a single configuration promoting at an eye-watering $3,500.

Lambda makes daring claims concerning the laptop computer’s machine studying capabilities, stating on its web site that the system is as much as 4x quicker than a MacBook Pro 16 powered by Apple’s M1 Max chip when operating imaginative and prescient and language coaching benchmarks.

“Most ML engineers don’t have a dedicated GPU laptop, which forces them to use shared resources on a remote machine, slowing down their development cycle.” wrote Stephen Balaban, the co-founder and CEO of Lambda, in a blog post. “When you’re stuck SSHing into a remote server, you don’t have any of your local data or code and even have a hard time demoing your model to colleagues. The Razer x Lambda Tensorbook solves this. It’s pre-installed with PyTorch and TensorFlow and lets you quickly train and demo your models: all from a local GUI interface.”

The solely customization choices are for software program and guarantee: the bottom $3,500 alternative comes with Ubuntu 20.04 with a Lambda Stack (together with drivers, PyTorch, TensorFlow, CUDA, and others) and a one yr guarantee, a “standard” model goes for $4,100 and nets you a two-year premium guarantee, and a $5,000 Enterprise version tacks on Windows 10 and a 3rd yr of premium guarantee.

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From the surface, the Tensorbook appears like a Razer Blade 15 with a customized paint job. It has the identical dimensions and 4.4-pound weight however trades a black exterior for a silver one with matching white keys and swaps Razer’s famously inexperienced USB ports for purple-accented ones. If you ask me, the purple Lambda emblem on the Tensorbook appears higher than Razer’s inexperienced triple-headed serpent. In any case, the Tensorbook comes with the identical strong port choice: two Thunderbolt 4 ports, three USB-A ports (3.2 Gen 2), HDMI 2.1, a headphone jack, and an SD card reader.

The Tensorbook doesn’t have any customized efficiency optimizations, so it received’t run higher than different gaming laptops with related or higher specs. This isn’t even Razer’s strongest system now that the corporate has upgraded its personal fleet to Intel twelfth Gen processors. What makes the Tensorbook distinctive is the included software program bundle consisting of one-line set up and administration paths for PyTorch, TensorFlow, Caffee, and Caffee 2 deep-learning frameworks, together with GPU-focused purposes CUDA and cuDNN.

Razer co-founder and CEO Min-Liang Tan wrote on Facebook again in 2017 that the corporate would create the “best notebook in the world that supports Linux.” It by no means arrived. Hopefully, the Tensorbook is successful, so Razer feels compelled to make its personal Linux-based system—in spite of everything, Valve and Google are already utilizing the OS as a platform for gaming.