👉 Salmon computing is a novel approach to machine learning that leverages the distributed, parallel processing capabilities of modern cloud infrastructure to train deep neural networks efficiently. Unlike traditional methods that require dedicated hardware like GPUs, salmon computing utilizes the vast network of cloud servers to distribute the computational workload across many nodes, significantly reducing training time and costs. This method is particularly beneficial for large-scale models and datasets, as it scales linearly with the number of available resources, allowing researchers and developers to experiment with more complex architectures and achieve state-of-the-art performance without the prohibitive expenses of maintaining high-end hardware. By abstracting away the underlying infrastructure, salmon computing democratizes access to powerful machine learning tools, enabling a broader community to innovate and advance the field.
