What are some alternative deployment options for AI models?

What are some alternative deployment options for AI models?

There are several alternative deployment options for AI models, including cloud-based services, edge computing, and on-premises solutions. Would you like to explore any of these in detail?

Can you explain edge computing?

Edge computing involves processing data closer to the source of data generation, which reduces latency and bandwidth use. It's particularly useful for real-time applications.

What are the benefits of using cloud-based services?

Cloud-based services offer scalability, flexibility, and ease of access. They allow you to deploy models without worrying about hardware limitations.

Are there any downsides to on-premises deployment?

Yes, on-premises deployment can be costly due to hardware and maintenance requirements. It also requires a dedicated IT team to manage.

Which option is best for small businesses?

For small businesses, cloud-based services are often the best option due to lower upfront costs and ease of use.