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Mobile coloring & rendering on a laptop.Using an eGPU to help power an assist station.
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You’ll learn three workflows of where I think an eGPU can really help speed things up: Our friends at OWC recently acquired AKiTiO and offered to send one over for me to test – which as you’ll read in a moment, was great timing for my home setup. In this Insight, we’ll first explore some essentials on eGPUs and Thunderbolt 3 and then take a close look at the premium eGPU chassis from AKiTiO/OWC called the Node Titan. Yes! This is a long article – but for those of you who know me, or have been Mixing Light members for a while you know that I like to be detailed. I know! But what’s totally surprising is that in nearly 1000 Insights we’ve never really discussed them besides a passing mention in a From The Mailbag episode or Color Correction Gear Head article. And let’s be honest – performance with integrated graphics, or many mobile GPUs, isn’t great.Īre you thinking – ‘Yeah Robbie, eGPUs have been around for a while!’ In either situation, upgrading the GPU is a no-go without buying a whole new machine.
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Laptops and all-in-ones, like iMacs or small form factor computers like a Mac Mini or Intel Nuc, might have dedicated built-in GPUs, oftentimes they don’t – instead, relying on integrated graphics. I know what you’re thinking ‘Robbie, that’s cool for ‘workstations’ but I work off a laptop’ or ‘I’m saving up for a modular workstation but right now I’m working off an iMac (or Mac Mini or Intel NUC)’ Said slightly differently: Getting a new GPU can make your system feel brand new. For people like myself who are obsessed with even minute performance gains – the ability to pop in a new GPU (or two or four!) when the next big thing in GPUs hits the market is very appealing.
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What’s more? The speed of GPU development is a technology arms race – what 2 years ago might have been the Rolls Royce of GPUs, is pedestrian just a few years later. The results? Mindblowing! Think, 8k Premium with a decently complicated node tree – in real-time without using the most top-end GPU. CPUs (the brain of your system) have a lot to do, and offloading tasks to a GPU can speed things up immensely.įor example, RED’s recent SDK updates have allowed NVIDIA (CUDA) and AMD (Metal) GPUs to handle both debayering tasks and decompression as well, which has typically been handled by the CPU. Over the past decade or so, we’ve seen a huge shift from CPU bound processing to a lot of processing being handled by GPUs – and that’s a good thing. It’s probably no surprise to most of you that when it comes to processing power for color, editorial, and transcoding applications, the GPU plays a critical role. Tutorials / eGPU Workflows: Enhancing Processing & Performance Adding An eGPU To Your Setup