What are the main differences between cloud GPUs and local GPUs?
Cloud GPUs are hosted on remote servers and can be accessed via the internet, while local GPUs are physical hardware installed on your own machine.
What are the advantages of using cloud GPUs?
Cloud GPUs offer scalability, flexibility, and often lower upfront costs, making them ideal for projects with variable workloads.
Are there any downsides to using cloud GPUs?
Yes, potential downsides include latency issues, ongoing costs, and reliance on internet connectivity.
When should I choose a local GPU instead?
Local GPUs are better for consistent workloads, lower latency needs, and when you want full control over your hardware.
Can you give me examples of use cases for both options?
Sure! Cloud GPUs are great for machine learning and rendering tasks, while local GPUs are preferred for gaming and real-time applications.
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