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Could AI workload processing be the new crypto mining? Some companies think so, offering ways to earn by lending your GPU power for AI tasks, just like the old crypto mining days. Key points: - Services like Salad pay users to contribute their GP

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Harnessing GPU Power with CUDA CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel p

NVIDIA is cashing in on the AI gold rush by selling shovels to tech giants ‼️ GPUs are essential in training complex neural networks, and NVIDIA's accelerate AI adoption worldwide. Their processors power 90% of supercomputers and are used by every m

Computing has come a long way with the introduction of NPUs, GPUs, and CPUs. Let's break it down in simple terms: 🧠 CPUs: They handle general instructions and system management. Think of them as the brain of your computer, evolving with more cores

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One of our recent achievements showcases how optimizing code and parallelizing processes can drastically improve machine learning model training times. The Challenge: Long Training Times Our model training process was initially taking 8 hours—slow

👀💥 Google just made changing clothes obsolete. Welcome to Doppl – your AI stylist in your pocket. Snap a pic. Upload any outfit you see online. Boom .. it’s on you. In seconds. In motion. 👗✨ Yes, even that Insta look you thought you could never

Nvidia's journey (2/2) began in 1993 with Jensen Huang, Curtis Priem, and Chris Malachowsky aiming to revolutionize digital interaction. By 1999, their GeForce 256 GPU set new standards for 3D graphics, making waves in the tech world. The early 200