Razer introduced the Razer x Lambda Tensorbook. The laptop is suitable for deep learning and machine learning workflows.
The Razer x Lambda Tensorbook should help companies perform deep learning, such as training neural networks. The laptop serves as an alternative to cloud computing power, which is typically used for deep learning infrastructure. The distance can slow down development. According to Razer, having all computing power at hand accelerates processes.
The standard configuration of the Razer X Lambda Tensorbook comes with an 11th gen Intel i7-11800H processor. The processor has eight cores and a standard clock speed of 2.3 GHz. The clock speed can be increased to 4.6 GHz. Furthermore, the laptop features 64GB of DDR4-3200 RAM and 2 TB of PCIe 4.0 SSD storage. For deep learning power, the laptop is equipped with an Nvidia RTX 3080 Max-Q (16GB) GPU.
The laptop runs on Ubuntu Linux 20.04 LTS, but can also be used with a Windows dual-boot. Other specifications include a 15.6-inch screen, two Thunderbolt 4 ports, three USB-A (3.2 Gen 2) ports, an HDMI 2.1 port, a headphone jack and an SD card reader.
Deep learning software integrated
Deep learning frameworks PyTorch, TensorFlow, Caffee and Caffee 2 are installed by default. In addition, the Razer X Lambda Tensorbook is suitable for GPU-based applications such as CUDA and cuDNN. Other DevOps tools can be added via Lambda’s managed upgrade path.
The laptop’s price is unknown at this time.