Lambda, the Deep Learning Company, today in collaboration with Razer, released the new Lambda Tensorbook, the world's most powerful laptop designed for deep learning, available with Linux and Lambda's deep learning software. The sleek laptop, coupled with the Lambda GPU Cloud, gives engineers all the software tools and compute performance they need to create, train, and test deep learning models locally. Since its launch in 2012, Lambda has quickly become the de-facto deep learning infrastructure provider for the world's leading research and engineering teams. Thousands of businesses and organizations use Lambda including: all of the top five tech companies, 97 percent of the top research universities in the U.S. including MIT and Caltech, and the Department of Defense. These teams use Lambda's GPU clusters, servers, workstations, and cloud instances to train neural networks for cancer detection, autonomous aircraft, drug discovery, self-driving cars, and much more.
"Most ML engineers don't have a dedicated GPU laptop, which forces them to use shared resources on a remote machine, slowing down their development cycle." said Stephen Balaban, co-founder and CEO of Lambda. "When you're stuck SSHing into a remote server, you don't have any of your local data or code and even have a hard time demoing your model to colleagues. The Razer x Lambda Tensorbook solves this. It's pre-installed with PyTorch and TensorFlow and lets you quickly train and demo your models: all from a local GUI interface. No more SSH!"