Razer announced its collaboration with Lambda, a company specializing in Deep Learning, to bring the laptop to life Tensorbook Lambdawhich is stated to be the most powerful laptop in the world focused on Deep Learning, and for this it uses an Intel processor, Nvidia graphics and the Ubuntu operating system.
If we talk about the laptop, we are facing an IPS panel of 15.6 inches at a resolution of 2560 x 1440p at 165Hz powered by a Intel Core i7-11800H with 8 cores and 16 threads at a Base/Turbo frequency of 2.30/4.60 GHz, we have 64 GB of DDR4 RAM at 3200 MHz, a Nvidia GeForce RTX 3080 MaxQ, 2TB of SSD storage, the most advanced connectivity (Thunderbolt 4, USB 3.2 and HDMI 2.1) and up to 9 hours of battery life. All this is seasoned with the operating system Ubuntu 20.04LTS (a Linux distribution) and can be chosen with a Dual Boot system with Windows 11.
“Most ML engineers don’t have a laptop with a dedicated GPU, which forces them to use shared resources on a remote machine, which slows down their development cycle,” says Stephen Balaban, co-founder and CEO of Lambda. “When you’re stuck in SSH to a remote server, you don’t have any of your local data or code, and you even have a hard time demonstrating your model to your colleagues.” The Razer x Lambda Tensorbook fixes that. It comes pre-installed with PyTorch and TensorFlow and lets you quickly train and demonstrate your models, all from a local GUI. No more SSH.”
“Razer’s expertise in developing high-performance products for gamers and creators has been a crucial component for the Lambda Tensorbook, a deep learning system for engineers,” said Travis Furst, Division Manager. Razer laptops. “A shared obsession with customers is what prompted us to collaborate with Lambda on the development of this powerful, purpose-built device. We can’t wait to see the incredible progress engineers and researchers will make using a Tensorbook.”
The new Tensorbook comes preconfigured with a full Lambda software environment, including Ubuntu Linux with the Lambda stack to train heavy workloads anytime, anywhere. The laptop features sleek, high-performance hardware from Razer, powered by an Nvidia GeForce RTX 3080, one of the most powerful mobile GPUs available for 24/7 dedicated computing and an outlet. full support for TensorFlow, PyTorch, cuDNN, CUDA and other ML frameworks and tools. .