What are the main advantages of using cloud GPUs over local GPUs

- Cost Effectiveness: Cloud GPUs operate on a pay-as-you-go pricing model, eliminating the need for significant upfront investments in hardware. This reduces the total cost of ownership and allows businesses to only pay for the resources they use[1][2][9].

- Agility and Flexibility: Cloud GPUs can be scaled up or down instantly based on workload demands, providing real-time matching of resource allocation with needs. This flexibility is particularly beneficial for projects with fluctuating requirements[1][3][5].

- Global Reach and Reduced Latency: Cloud providers have data centers worldwide, allowing businesses to place resources closer to users, which reduces latency and enhances performance[1][5].

- Less Operational Overhead: Cloud service providers manage infrastructure, handle hardware maintenance, and ensure maximum uptime, freeing internal IT teams to focus on strategic projects[1][9].

- Access to Best-In-Class Hardware: Cloud-based infrastructure is constantly updated with the latest GPU models, ensuring users have access to high-performance computing without the burden of frequent hardware upgrades[1][5].

- Improved Collaboration: Cloud GPUs enable remote teams to access resources from anywhere, facilitating seamless collaboration and improving productivity across different projects[1][4].

- Rapid Deployment: Cloud GPU instances can be provisioned quickly, often within minutes, compared to the weeks or months required for setting up on-premises systems[2][4].

- Increased Device Lifespan: By offloading compute-intensive tasks to cloud GPUs, local devices experience reduced wear and tear, extending their lifespan[5].