雷蛇与 Lambda 联手推出用于深度学习的 Linux 笔记本电脑
深度学习

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> 雷蛇与一家专注于深度学习的硬件公司合作，以时尚的外形、昂贵的价格提供了最新和最伟大的产品。
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![](/data/attachment/album/202204/20/230508kav3z6mi4i6fc6z6.jpg)


<ruby> 雷蛇 <rt>  Razer </rt></ruby> 以其游戏外设和硬件而闻名。


另一方面，Lambda 提供配备了他们的软件栈的工作站、服务器和 GPU 集群，以尽可能方便地促进深度学习。


他们合作推出了一款外观时尚的现代笔记本电脑（由 Ubuntu 20.04 驱动），专为随时随地的深度学习而设计。


它不同于 [其他 Linux 笔记本电脑](https://itsfoss.com/get-linux-laptops/)。


顺便说一句，深度学习是一种机器学习，你通过实例教给计算机学会类似人类处理信息的方式。你可以查看 [维基百科](https://en.wikipedia.org/wiki/Deep_learning) 以了解更多细节。


### Tensorbook：深度学习笔记本电脑


[![](/data/attachment/album/202204/20/230508f99zxb2ybyeyvcvq.jpg)](https://youtu.be/wMh6Dhq7P_Q)


Tensorbook 是一款由 Linux 驱动的笔记本电脑，具有最先进的规格，可以帮助你在任何地方高效地进行深度学习训练/开发。而且，Lambda 的软件栈支持各种工具，只需一个命令就能方便地更新 PyTorch、Tensorflow、CUDA 等。


当然，这个名字并不令人意外，因为<ruby> 张量 <rt>  Tensor </rt></ruby>核心有助于加快机器学习训练/过程。


![](/data/attachment/album/202204/20/230508zr66wj6yyfwolhi2.jpg)


雷蛇没有在这台笔记本电脑上添加任何他们惯用的标志性图案，比如绿色的点缀/颜色、标志或 RGB 元素。好吧，毕竟这是为深度学习而定制的。所以，它不太浮华是公平的。


你只能在盖子上找到 Lambda 主要标志，在屏幕的底边框上找到 Razer x Lambda 的文字。而且，紫色的风格贯穿始终，Lambda 在这里主导了其品牌宣传。


这款笔记本电脑的规格涉及：


* GPU：GeForce RTX 3080 Max-Q 16 GB VRAM
* CPU：Intel i7-11800H
* 内存：64 GB 3200 MHz DDR4
* 存储：2 TB NVMe PCIe 4.0
* 显示：165 Hz 1440p 15.6 英寸


除了可靠的核心配置外，连接选项包括：


* 3 个 USB 3.2 Gen 2 Type-A 端口
* 1 x HDMI 2.1
* 1 个 UHS-III SD 卡阅读器
* 3.5 毫米耳机/麦克风插孔
* 2 个雷电 4 端口
* Wi-Fi 6E
* 蓝牙 5.2


毋庸置疑，这款笔记本电脑是一个时尚的“动力工厂”，将这些组件容纳于其中。


无论你是专业人士还是初学者，RTX 3080 GPU 应该有足够的能力来帮助你完成深度学习任务。


当然，它不是为游戏而设计的，但以你所拥有的配置以及高刷新率的屏幕，你可以在需要的时候在上面舒适地玩游戏。


![](/data/attachment/album/202204/20/230509mwnvjhdgtz9twxx1.jpg)


其机器学习训练基准声称，它远远领先于 M1 Max 芯片。


因此，你在训练模型方面不会有任何问题。


### 定价和可用性


这是一款高端产品，所以价格标签也一样高端，起价为 **3499 美元**。你可以为企业环境定制它，以便安装上 Windows 10 和 Ubuntu。


如果你支付额外的费用，还可以获得延长保修和高级支持。


你可以在 Lambda 的官方网站上定制并进行购买。



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> [Tensorbook](https://lambdalabs.com/deep-learning/laptops/tensorbook)
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via: <https://news.itsfoss.com/tensorbook-razer-lambda/>


作者：[Ankush Das](https://news.itsfoss.com/author/ankush/) 选题：[lujun9972](https://github.com/lujun9972) 译者：[wxy](https://github.com/wxy) 校对：[wxy](https://github.com/wxy)


本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出


OK
![](/assets/images/pikapods-banner-v3.webp)


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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](https://itsfoss.com/get-linux-laptops/?ref=news.itsfoss.com) 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](https://en.wikipedia.org/wiki/Deep_learning?ref=news.itsfoss.com) for more details.

## Tensorbook: The Deep Learning Laptop

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.

![](https://news.itsfoss.com/content/images/wordpress/2022/04/tensorbook-1.jpg)

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.

![](https://news.itsfoss.com/content/images/wordpress/2022/04/tensorbook-2.jpg)

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.

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