👉 Jaguar computing, introduced by Google in 2018, is a high-performance computing platform designed to accelerate machine learning and deep learning workloads. It leverages Google's Tensor Processing Units (TPUs), custom-designed ASIC chips optimized for tensor operations, which are significantly faster and more energy-efficient than traditional CPUs or GPUs for specific AI tasks. Jaguar is particularly tailored for training large-scale neural networks, offering features like automatic model parallelism and efficient memory management, making it ideal for researchers and developers working on complex AI models. Its architecture supports both CPU and GPU execution, providing flexibility for diverse computational needs, and it integrates seamlessly with Google Cloud's ecosystem, enabling scalable and cost-effective deployment of AI solutions. This makes Jaguar a powerful tool for advancing AI research and applications, from natural language processing to computer vision.
