diff --git a/sources/news/20220413 Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning.md b/sources/news/20220413 Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning.md new file mode 100644 index 0000000000..04d8f681dc --- /dev/null +++ b/sources/news/20220413 Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning.md @@ -0,0 +1,99 @@ +[#]: subject: "Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning" +[#]: via: "https://news.itsfoss.com/tensorbook-razer-lambda/" +[#]: author: "Ankush Das https://news.itsfoss.com/author/ankush/" +[#]: collector: "lujun9972" +[#]: translator: " " +[#]: reviewer: " " +[#]: publisher: " " +[#]: url: " " + +Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning +====== + +Razer is known for its gaming peripherals and hardware. + +On the other hand, Lambda offers workstations, servers, and GPU clusters equipped with their software stack to facilitate deep learning as conveniently as possible. + +They have collaborated to present a sleek-looking modern laptop (powered by Ubuntu 20.04) tailored for deep learning on the go. + +And, it isn’t like any [other Linux laptops][1] available. + +In case you are curious, deep learning is a type of machine learning where you teach a computer to process information similar to how humans do (by example). You can explore [Wikipedia][2] for more details. + +### Tensorbook: The Deep Learning Laptop + +![][3] + +The Tensorbook is a Linux-powered laptop with state-of-the-art specifications to help you efficiently work with deep learning training/development anywhere. And, Lambda’s software stack supports all the tools to conveniently update PyTorch, Tensorflow, CUDA, etc., with just a single command. + +Of course, the name isn’t a surprise, considering tensor cores help speed up the machine learning training/process. + +![][4] + +Razer did not add any of their usual signature patterns with this laptop, like a green accent/color, logo, or RGB elements. Well, for the greater good, this is tailored for deep learning. So, it is only fair that it isn’t too flashy. + +You only find the lambda logo as the primary on the lid and a Razer x Lambda text on the bottom bezel of the screen. And, the purple accent goes all over, Lambda taking the lead on its branding here. + +The specifications for the laptop involve: + + * **GPU**: GeForce RTX 3080 Max-Q 16 GB VRAM + * **CPU:** Intel i7-11800H + * **RAM:** 64 GB 3200 MHz DDR4 + * **Storage:** 2 TB NVMe PCIe 4.0 + * **Display:** 165 Hz 1440p 15.6-inch + + + +In addition to the solid core configuration, the connectivity options include: + + * 3 x USB 3.2 Gen 2 Type-A ports + * 1 x HDMI 2.1 + * 1 x UHS-III SD Card Reader + * 3.5 mm Headphone/Microphone jack + * 2 x Thunderbolt 4 ports + * Wi-Fi 6E + * Bluetooth 5.2 + + + +Undoubtedly, the laptop is a sleek powerhouse with all the components packed in it. + +The RTX 3080 GPU should be capable enough to help with your deep learning tasks, whether you are a professional or a beginner. + +Of course, it isn’t pitched for gaming, but with what you have, along with a high refresh rate screen, you can comfortably game on it when you want. + +![][5] + +The machine learning training benchmarks claim that it is way ahead of the M1 Max chip. + +So, you will not have any trouble with training models. + +### Pricing and Availability + +It is a premium offering, so the price tag suits the same, starting at **$3499**. You can customize it for enterprise settings to pack in Windows 10 and Ubuntu. + +An extended warranty and premium support is available if you want to pay the extra. + +You can customize and proceed with the purchase on Lambda’s official website. + +[Tensorbook][6] + +-------------------------------------------------------------------------------- + +via: https://news.itsfoss.com/tensorbook-razer-lambda/ + +作者:[Ankush Das][a] +选题:[lujun9972][b] +译者:[译者ID](https://github.com/译者ID) +校对:[校对者ID](https://github.com/校对者ID) + +本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出 + +[a]: https://news.itsfoss.com/author/ankush/ +[b]: https://github.com/lujun9972 +[1]: https://itsfoss.com/get-linux-laptops/ +[2]: https://en.wikipedia.org/wiki/Deep_learning +[3]: https://i.ytimg.com/vi/wMh6Dhq7P_Q/hqdefault.jpg +[4]: data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjgwMCIgd2lkdGg9IjcyMCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiB2ZXJzaW9uPSIxLjEiLz4= +[5]: data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjYwMCIgd2lkdGg9IjgyMCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiB2ZXJzaW9uPSIxLjEiLz4= +[6]: https://lambdalabs.com/deep-learning/laptops/tensorbook