What is a cloud GPU? A guide for AI companies using the cloud

A cloud GPU is a remotely accessible graphics processing unit provided by cloud services like AWS, Google Cloud, or platforms like Northflank, designed to manage compute-intensive tasks such as machine learning model training and large-scale data processing. Unlike purchasing and maintaining local high-end GPUs, cloud GPUs offer flexibility and scalability, allowing AI teams to focus on model development rather than hardware issues. They support parallel computation, which is crucial for deep learning tasks, making them preferable over CPUs for AI workloads that require high throughput and low latency. Cloud GPUs evolved from gaming hardware to essential tools for AI due to their ability to handle parallel operations efficiently, supported by frameworks like CUDA. While local GPUs might be suitable for small-scale projects, cloud GPUs provide on-demand scalability and eliminate the need for significant upfront investment in hardware, making them a cost-effective solution for training large models or handling burst workloads. Platforms like Northflank enable seamless integration of GPU and CPU tasks within the same infrastructure, providing comprehensive support for AI workloads with added features like secure runtime environments and flexible deployment options.

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