We performed a comparison between Azure OpenAI and OpenVINO based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms."The solution has a very drag-and-drop environment. Instead of coding something from scratch or understanding any concept in extensive depth before deployment, this is good. Plus, they have an auto dataset, which means you can choose any dataset they have instead of providing your own. So that's also pretty nice."
"Azure OpenAI is very easy to use instead of AWS services."
"Generative AI or GenAI seems to be the best part of the solution."
"The product saves a lot of time."
"The most valuable feature of Azure OpenAI stems from the GPT-3.5 models it provides to its users."
"We can use the solution to implement our tasks and models quickly."
"We have many use cases for the solution, such as digitalizing records, a chatbot looking at records, and being able to use generative AI on them."
"The high precision of information extraction is the most valuable feature."
"The initial setup is quite simple."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."
"The solution needs to accommodate smaller companies."
"Azure OpenAI is not available in all regions, and its technical support should be improved."
"There are no available updates of information that are currently provided."
"Latency performance is a major part. And I'm seeking support for multiple models that handle text, images, videos, and voice. I'm from India, and I'm looking for more support in Indian languages. There are 18 official languages and many more unofficial. We need support for these languages, especially in voice moderation, which is not yet available."
"Deployment was slightly complex for me to understand."
"There are certain shortcomings with the product's scalability and support team where improvements are required."
"We are awaiting the new updates like multi-model capabilities."
"Our customers are worried about data management, ethical, and security issues."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult."
"The model optimization is a little bit slow — it could be improved."
Earn 20 points
Azure OpenAI is ranked 2nd in AI Development Platforms with 17 reviews while OpenVINO is ranked 10th in AI Development Platforms. Azure OpenAI is rated 8.0, while OpenVINO is rated 8.6. The top reviewer of Azure OpenAI writes "Created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions". On the other hand, the top reviewer of OpenVINO writes "Open-source, easy to integrate, and perfectly tailored to the Movidius chipset". Azure OpenAI is most compared with Google Vertex AI, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Hugging Face and Wit.ai, whereas OpenVINO is most compared with TensorFlow, PyTorch, Google Cloud AI Platform, Google Vertex AI and Microsoft Azure Machine Learning Studio.
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