Lambda Tensorbook: a laptop designed for deep learning

lambda tensorbook

Lambda is a provider of deep learning infrastructure, or deep learning. This firm has partnered with the well-known Razer to launch a powerful laptop, but it is not intended for gaming, as is usual in the Razer brand, but is specially designed for deep learning. His name is Lambda TensorBook, and it has more power than you could imagine. In addition, of course, it comes equipped with Linux, specifically with the Ubuntu distro that developers can work with.

If you are interested in this laptop, you should know that the Razer x Lambda Tensorbook is available from now on, and its price starts at $3499, depending on configuration. A fairly expensive price, although it is true that the hardware leaves you speechless. By the way, you can also configure dual boot with Microsoft Windows together with Ubuntu 20.04 LTS (Focal Fossa) if you prefer, although by default it only includes the penguin platform. That price includes technical support and 1 year warranty...

As for its interior, to hardware, if that is what interests you most, and to justify its high price, it must be said that the Razer x Lambda Tensorbook includes:

  • Intel Core i7-11800 8-core CPU up to 4.6 Ghz.
  • NVIDIA GeForce RTX 3080 Max-Q GPU with 16GB of VRAM.
  • Up to 64 GB of DDR4 3200 Mhz RAM to choose from.
  • Internal storage type SSD NVMe PCIe 4.0 of 2TB.
  • Thunderbolt 4 port compatibility
  • Its screen is 15.6″ with 2K resolution and 165 Hz.
  • Aluminum chassis.
  • Weight of 2.1 Kg.

On the other hand, for AI, deep learning and ML, this laptop gives engineers one of the best platforms to work on in this industry, including it also comes with:

  • Lambda GPU Cloud
  • Lambda Stack
  • cuDNN
  • PyTorch
  • TensorFlow
  • Hard
  • coffee and coffee 2
  • NVIDIA Drivers
  • Other interesting Linux utilities:
    • build-essential
    • GNU Emacs
    • Go
    • htop
    • GNU Screen
    • tmux
    • valgrind
    • Vim

According to Stephen Balaban, CEO of Lambda, "Most ML engineers don't have a dedicated GPU laptop, forcing them to use shared resources on a remote machine, slowing down their development cycle. When you're stuck in SSH to a remote server, you don't have any of your local data or code and even have a hard time proving your model to your colleagues. The Razer x Lambda Tensorbook solves this".

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