Apr 30, 2022

April 29, 2022 Thanks to Lambda and Razer, we can say goodbye to SSH. Traveling in machines and infrastructure for machine learning, Lambda Labs has partnered with Razer to unveil the world’s most mobile laptop configured for machine-learning-enhancing developments. Tensorbook he got a name. [+] Fully aluminum-framed machine with 8-core / 16-thread Intel Core i7-11800H processor, 64GB DDR4-3200 memory, 16GB GDDR6 VRAM with NVIDIA GeForce RTX 3080 Max-Q GPU and 2TB PCI It comes with an M.2 SSD using the Express 4.0 interface, and its 15.6-inch screen with a resolution of 2560×1440 pixels and an image refresh rate of 165 Hz promises its prospective owners. [+] You can access the network using Wi-Fi 6E, but of course the 5.2 Bluetooth or 1080p webcam is not missing from the arsenal of the 1.69 cm thick, 2.02 kilogram notebook. The housing has an HDMI 2.1 output, two Thunderbolt 4 connectors and three USB 3.2 Gen2 Type-A adapters stationed on the 3.5mm combo jack, in addition to the UHS-III SD card reader. The battery is 80 watts and the adapter is 230 watts, although charging can also be done using Thunderbolt 4 (100 watts). [+] The main attraction of the newcomer is not in the hardware itself (although there is no reason to be ashamed in this area either), as mobile iron Lambda Stackkel comes with an extended Ubuntu Linux 20.04 LTS operating system, and the complete Lambda software environment is preconfigured. It gives itself that the construction is fully compatible with TensorFlow, PyTorch, cuDNN, CUDA and other machine learning frameworks and development tools. [+] The notebook, sold with a one-year warranty, is now available for $ 3,500 on the page below so engineers have all the conditions to work with the Lambda GPU Cloud to create, train, or test various neural networks locally, all through a graphical user interface.