The hardware part of the Lambda Tensorbook is based on the Blade series of gaming laptops, with an independent graphics card designed by NVIDIA GeForce RTX 3080 Max-Q, and the appearance design is also adjusted to the Lambda brand style.
Razer earlier announced a partnership with deep learning company Lambda to build a deep learning laptop called Lambda Tensorbook based on Razer’s Blade series of gaming laptops.
Lambda Tensorbook uses Linux operating system and is equipped with Lambda’s deep learning software. It can also be combined with Lambda GPU Cloud for cloud collaborative computing, allowing engineers to build, train, and test various deep learning models on laptops.
At present, Lambda’s partners include 97% of top research universities in the United States, including MIT and Caltech, as well as institutions such as the US Department of Defense. At the same time, Lambda provides GPU computing clusters, servers and workstation products, so that staff can use different Formal construction of deep learning models project.
In this cooperation with Razer, Lambda expects to use Tensorbook to meet the needs of more flexible deep learning model construction, and can use the common deep learning frameworks such as PyTorch, TensorFlow, cuDNN, CUDA in the market, so that staff can invest more quickly Demonstration of model building and actual execution.
As for the hardware part, it is based on the Blade series of gaming laptops and is equipped with an independent graphics card designed by NVIDIA GeForce RTX 3080 Max-Q. At the same time, the appearance design is also adjusted to the Lambda brand style.
The Lambda Tensorbook is available for order through Lambda’s official website, with a suggested price of $3,499, and an additional year of Lambda engineering technical assistance.
