The Razer & Lambda Tensorbook presents a powerful mobile workstation to tackle deep learning projects remotely with the company’s software and technology packages.
Since its launch in 2012, Lambda has quickly become the de-facto deep learning infrastructure provider for the world’s leading research and engineering teams. These teams use Lambda’s GPU clusters, servers, workstations, and cloud instances to train neural networks for cancer detection, autonomous aircraft, drug discovery, self-driving cars, etc. Thousands of businesses and organizations use Lambda, including all of the top five tech companies, 97 percent of the top research universities in the U.S., including MIT and Caltech, and the Department of Defense. The laptop offers elegant, high-performance hardware from Razer and is graphically powered by the NVIDIA RTX 3080. The new Tensorbook comes prepared out-of-the-box with a complete software environment directly from Lambda, including Ubuntu Linux added with the Lambda Stack for training extensive workloads no matter the location. The laptop is also compatible with TensorFlow, PyTorch, cuDNN, CUDA, and other ML frameworks and tools. — Stephen Balaban, CEO and co-founder, Lambda
— Travis Furst, Head of Razer’s Laptop Division
Specifications for the new Tensorbook include:
Hardware
15.6” 2560x1440 165Hz display NVIDIA RTX 3080 Max-Q GPU with 16GB VRAM Intel i7-11800 Processor (8 cores, 2.3GHz to 4.6GHz) 64GB DDR4 memory 2 TB SSD storage Thunderbolt 4, USB 3.2, HDMI 2.1 ports Slim 4.4 lb aluminum unibody chassis 1080p webcam
Software
Ubuntu Linux 20.04 LTS (Microsoft Windows dual boot optional) Lambda Stack with PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers One year of Lambda engineering support
If you are interested in knowing more about the new Tensorbook and customization options, please visit lambdalabs.com. Tensorbook models start at $3,499. Source: Lambda Labs
