Lambda Labs & Razer Announce World’s Most Powerful Machine Learning Laptop

Lambda teams up with Razer to bring us the new Lambda Tensorbook. This will be the world’s most powerful laptop designed specifically for deep learning. The laptop will feature both Linux and Lambda’s proprietary deep learning software. The Lambda notebook comes with the Lambda GPU Cloud installed, which gives engineers all the necessary software tools and the performance they need to work on and develop deep learning models locally.

Since its launch in 2012, the company has become quite prominent as a provider of deep learning infrastructure that addresses the needs of the world’s leading research and engineering teams. These teams work on several major projects covering different technical areas. The GPU clusters provided by Lambda, along with their servers and workstations, are used for training purposes in cancer detection, autonomous aircraft, drug discovery, self-driving cars, and many others.

Most ML engineers don’t have a dedicated GPU laptop, forcing them to use shared resources on a remote machine, which slows down their development cycle. If you’re stuck SSHing on a remote server, you won’t have any of your local data or code, and you’ll even struggle to demonstrate your model to colleagues. The Razer x Lambda Tensorbook solves this. It comes preinstalled with PyTorch and TensorFlow and lets you quickly train and demonstrate your models, all from a local GUI interface. No more SSH!

— Stephen Balaban, CEO and Co-Founder, Lambda

Thousands of organizations and companies around the world use Lambda. These include the world’s top five tech companies, including MIT, Caltech and the Department of Defense. You may wonder that such a machine would look sturdy, but surprisingly, the laptop has high-quality hardware that looks extremely elegant. This is provided by Razer, while the graphics are powered by NVIDIA’s RTX 3080. The notebook is a turnkey solution with the software environment fully installed by Lambda. The software includes the Ubuntu Linux that ships along with the Lambda Stack, which ensures that extensive workloads are not disrupted regardless of location.

In addition, the Tensorbook is compatible with TensorFlow, PyTorch, cuDNN, CUDA, and other ML frameworks and tools. There are customization options available on the Lambda website, but the base model starts at $3,499.

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