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Razer and Lambda Collaborate to Introduce a Unique Deep Learning Laptop

Artificial Intelligence (AI) , Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), AI Model, AI-powered Solutions, Digital Transformation, ML Model, Natural Language Understanding (NLU), AI News, Artificial Intelligence News
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Lambda, a deep-learning (DL) company, released the Lambda Tensorbook in collaboration with Razer, an ultra-powerful laptop equipped with Linux and Lambda’s deep learning software. With a sleek laptop and Lambda GPU Cloud, engineers can create, train, and test deep learning models locally with all the necessary software and computing power.

Stephen Balaban, co-founder, and CEO of Lambda said, “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. 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!”

Lambda, which launched in 2012, has quickly emerged as the world’s leading provider of deep learning infrastructure. Many businesses and organizations utilize Lambda, including all five of the top technology companies and 97 percent of the top research universities in the U.S., including MIT and Caltech. As part of their research, Lambda’s GPU clusters, servers, workstations, and cloud instances are used to train neural networks for cancer detection, autonomous aircraft, drug discovery, and self-driving cars.

Lambda provides the new Tensorbook with a complete software environment for training large workloads on Ubuntu Linux and the Lambda Stack, which works on any platform. With Razer’s sleek, high-performance hardware, the laptop is powered by NVIDIA’s RTX 3080 GPU, one of the most powerful GPUs on mobile devices. With full compatibility with TensorFlow, PyTorch, cuDNN, CUDA, and other ML frameworks and tools, the laptop is the ideal machine learning platform.

Travis Furst, Head of Razer’s Laptop Division, said, “Razer’s experience in developing high-performance products for both gamers and creators has been a crucial building block for the Lambda Tensorbook, a deep learning system for engineers. The shared customer obsession is what drove us to collaborate with Lambda in developing this powerful, specialized device. We can’t wait to see the amazing breakthroughs that will be made by engineers and researchers while using a Tensorbook.”

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