Lambda, the Deep Learning Company, in collaboration with Razer, released the new Lambda Tensorbook, available with Linux and Lambda's deep learning software. The sleek laptop, coupled with the Lambda GPU Cloud, gives engineers all the software tools and compute performance they need to create, train, and test deep learning models locally. The new Tensorbook comes pre-configured with a complete software environment from Lambda, including Ubuntu Linux with the Lambda Stack for training large workloads anytime, anywhere.

The laptop features sleek, high-performance hardware from Razer, powered by NVIDIA RTX 3080, one of the most powerful mobile GPUs available for dedicated, uninterrupted compute at a moment's notice and full compatibility with TensorFlow, PyTorch, cuDNN, CUDA, and other ML frameworks and tools. Availability and Specifications: The new Tensorbook is available for order from $3,499 at lambdalabs.com. Specifications 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.