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选题[news]: 20220413 Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning
sources/news/20220413 Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning.md
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[#]: subject: "Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning"
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[#]: via: "https://news.itsfoss.com/tensorbook-razer-lambda/"
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[#]: author: "Ankush Das https://news.itsfoss.com/author/ankush/"
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[#]: collector: "lujun9972"
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[#]: translator: " "
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[#]: reviewer: " "
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[#]: publisher: " "
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[#]: url: " "
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Razer and Lambda Team Up to Unveil a Linux Laptop for Deep Learning
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======
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Razer is known for its gaming peripherals and hardware.
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On the other hand, Lambda offers workstations, servers, and GPU clusters equipped with their software stack to facilitate deep learning as conveniently as possible.
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They have collaborated to present a sleek-looking modern laptop (powered by Ubuntu 20.04) tailored for deep learning on the go.
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And, it isn’t like any [other Linux laptops][1] available.
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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.
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### Tensorbook: The Deep Learning Laptop
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![][3]
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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.
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Of course, the name isn’t a surprise, considering tensor cores help speed up the machine learning training/process.
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![][4]
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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.
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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.
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The specifications for the laptop involve:
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* **GPU**: GeForce RTX 3080 Max-Q 16 GB VRAM
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* **CPU:** Intel i7-11800H
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* **RAM:** 64 GB 3200 MHz DDR4
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* **Storage:** 2 TB NVMe PCIe 4.0
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* **Display:** 165 Hz 1440p 15.6-inch
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In addition to the solid core configuration, the connectivity options include:
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* 3 x USB 3.2 Gen 2 Type-A ports
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* 1 x HDMI 2.1
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* 1 x UHS-III SD Card Reader
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* 3.5 mm Headphone/Microphone jack
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* 2 x Thunderbolt 4 ports
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* Wi-Fi 6E
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* Bluetooth 5.2
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Undoubtedly, the laptop is a sleek powerhouse with all the components packed in it.
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The RTX 3080 GPU should be capable enough to help with your deep learning tasks, whether you are a professional or a beginner.
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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.
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![][5]
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The machine learning training benchmarks claim that it is way ahead of the M1 Max chip.
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So, you will not have any trouble with training models.
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### Pricing and Availability
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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.
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An extended warranty and premium support is available if you want to pay the extra.
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You can customize and proceed with the purchase on Lambda’s official website.
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[Tensorbook][6]
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--------------------------------------------------------------------------------
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via: https://news.itsfoss.com/tensorbook-razer-lambda/
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作者：[Ankush Das][a]
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选题：[lujun9972][b]
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译者：[译者ID](https://github.com/译者ID)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://news.itsfoss.com/author/ankush/
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[b]: https://github.com/lujun9972
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[1]: https://itsfoss.com/get-linux-laptops/
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[2]: https://en.wikipedia.org/wiki/Deep_learning
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[3]: https://i.ytimg.com/vi/wMh6Dhq7P_Q/hqdefault.jpg
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[4]: data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjgwMCIgd2lkdGg9IjcyMCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiB2ZXJzaW9uPSIxLjEiLz4=
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[5]: data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjYwMCIgd2lkdGg9IjgyMCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiB2ZXJzaW9uPSIxLjEiLz4=
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[6]: https://lambdalabs.com/deep-learning/laptops/tensorbook
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