I have been waiting for Razer to release a Linux laptop, as they have been talking about it for quite some time.Razer has always done a great job making lean and powerful laptops.Look at how thin and sleek this laptop is for all that power.As well as the NVIDIA drivers and various other useful Linux tools like build-essential, GNU Emacs, Git, htop, GNU Screen, tmux, Valgrind, and Vim.The Tensorbook laptop comes with the Lambda GPU Cloud service and the full Lambda Stack, which includes software like NVIDIA CUDA, cuDNN, PyTorch, TensorFlow, Keras, Caffe, and Caffe 2.NVIDIA GeForce RTX 3080 Max-Q graphics card with 16GB VRAM.
An Intel i7-11800 Octo-Core processor featuring up to 4.6GHz clock speeds.Lambda, a provider of deep learning infrastructures, has teamed up with Razer, to build a Linux-powered laptop for deep learning.Oh, this is exciting news! Here is the Razer x Lambda Tensorbook, the world’s most powerful Ubuntu Linux laptop designed for deep learning.All requirements can be viewed here /en/supportĭescription : DaVinci Resolve 18 is the world’s only solution that integrates editing, color grading, visual effects, motion graphics and audio post-production in one software tool! Its elegant, modern interface is quick to learn and simple for new users, yet powerful for professionals. DaVinci Resolve lets you work faster and with higher quality because you don’t have to learn multiple applications or switch software to complete different tasks. This means you can work with original quality images throughout the entire process. It’s like having your own post-production studio in one app! And most importantly, by learning DaVinci Resolve, you will learn how to use the same tools that Hollywood professionals use!ĭownload “Blackmagic-Design-DaVinci-Resolve-Studio-18.0.0b.0014-Public-Beta-3” Blackmagic-Design-DaVinci-Resolve-Studio-18.0.0b.0014-Public-Beta-3.Subscribe Google Podcasts | Spotify | Pandora | Stitcher | TuneIn | RSS | More.Driver for Nvidia cards not earlier than version 451.82.Video card must support OpenCL 1.2 or CUDA 11.Minimum 16 gigabytes of RAM for editing and grading, 32 gigabytes recommended for Fusion.Windows 10 Creators Update 圆4 or Windows 11 圆4 with the latest updates.
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