Amazon Deep Learning AMIs vs. Azure OpenAI Service

Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle. If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.

Incentivized

The pricing doesn't seem fair to me if we compare the limitations and errors in the models. Also, they are currently working on new unified portal for all AI projects which is in beta preview. So, I guess we should wait until it matures, and fixes all the issues and should use once pricing and performance improves.

Incentivized

• Setting up environment
• Support for different types of machines
• Perfect for Machine Learning / Deep Learning use cases
• Nvidia / Cuda / Conda support easily

Incentivized

• It's generative AI like ChatGPT but you get advanced models, so it's more powerful.
• You can use API to automate the process of Generative AI tasks.
• It also provides a sample script code on how we can use the API.

Incentivized

• Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
• It can be a bit confusing to switch between frameworks for novice users

Incentivized

• The user interface is similar to the Azure, so it's bit laggy, they should improve it.
• The chat models sometimes return nothing, I guess they are still testing them.
• The models we use have quota limitation on tokens and number of requests.

Incentivized

Both of these services provide similar functionality and from my experience both are top class services which cover most of your needs. I think ultimately it comes down to what you need each service for. For example Amazon DL AMIs allows for clustering by default meaning I am able to run several clustering algorithms without a problem whereas IBM Watson Studio doesn't provide this functionality. They both provide a wide range of default packages such as Amazon providing caffe-2 and IBM providing sci-kitlearn. My main point is that both are very good services which have very similar functionality, you just need to think about the costs, suitability of features and integration with other services you are using.

Incentivized

Overall, Azure OpenAI services are not worth using, but only reason I used it because I got it under Startup sponsorship from Microsoft. Pricing is very high.

Incentivized

• Saves a lot of Infra Costs
• Saves a lot of time in handling environment issues
• Easy to start a new instance

Incentivized

• Honestly, I just started using it a few months ago, and I haven't seen any major benefits.
• It has almost similar capabilities as free version of ChatGPT, so it's worth paying for chat models unless we need to use API.
• ROI has not been impacted at all, as I mostly use free version over this to avoid higher charges.

Incentivized