Lambda is a deep learning computer required for professional fields such as workstations, servers, and clouds. In short, it is a system integrator serving the professional field. This time, Lambda and Razer have teamed up to launch the first TensorBook professional laptop featuring deep learning. .
From the perspective of division of labor, it integrates the manufacturing capabilities of Razer notebooks. The main force is NVIDIA GeForce RTX 3080 Max-Q 16GB GPU and Intel Core i7-11800 CPU. The memory is 64GB DDR4, 2TB SSD, and has Thunderbolt 4, USB 3.2 , HDMI 2.1 and other ports.
Another major feature is the pre-installed Ubuntu Linux 20.04 LTS operating system, and the Lambda Stack integrates resources such as PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers, allowing deep learning developers to execute projects on laptops faster, and 1 Years of Lambda engineer support and other features.
Compared with the creator laptop, it pays more attention to the integration of the development environment with software and dedicated resources. This TensorBook is priced at $3,499, but it is a pity that the CPU is still 11th generation.
- 15.6″ 2560×1440 165 Hz display
- NVIDIA RTX 3080 Max-Q GPU with 16 GB VRAM
- Intel i7-11800 Processor (8 cores, 2.3 GHz to 4.6 GHz)
- 64 GB DDR4 memory
- 2 TB SSD storage
- Thunderbolt 4, USB 3.2, HDMI 2.1 ports
- Slim 4.4 lb aluminium unibody chassis
- 1080p webcam
source: lambdalabs.com
Further reading:
