We performed a comparison between Azure OpenAI and OpenVINO based on real PeerSpot user reviews.
Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Its versatility makes it incredibly useful for technical problem-solving, content creation, data analytics, and more."
"Generative AI or GenAI seems to be the best part of the solution."
"Azure OpenAI has significantly reduced costs and increased efficiency in tasks such as aggressive testing of systems to avoid anomalies and trust issues."
"The most valuable feature is the ALM."
"We can use the solution to implement our tasks and models quickly."
"Two aspects I appreciate are the turnaround time and ease of use. As it's a managed service, the quick turnaround is beneficial, and the simple interface makes it easy to work with. Performance and scalability are also strong points since you can scale as needed."
"My goal was to create an experience where project managers don't have to read through entire documents. Instead, they can ask a question and receive relevant point analysis. This analysis identifies the document and specific section where the information resides. Previously, users had to rely on these document references. Now, Azure OpenAI enhances the experience by providing the answer directly in the user's own language, relevant to their context."
"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."
"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 initial setup is quite simple."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"Since we don't train the model on our data, it's a struggle to ensure OpenAI answers questions exclusively from our data. During user testing, we found ways to make the system provide answers from outside sources."
"There is room for improvement in their support services."
"One major drawback of Azure OpenAI is its availability, as it's not consistently accessible for effective use."
"Azure OpenAI will be expensive if you want to implement it as a permanent solution for a customer."
"The solution needs to accommodate smaller companies."
"There are no available updates of information that are currently provided."
"The dialogue manager needs to be improved."
"There could be an ability to generate visual data, such as architecture diagrams."
"The model optimization is a little bit slow — it could be improved."
"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."
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Azure OpenAI is ranked 2nd in AI Development Platforms with 29 reviews while OpenVINO is ranked 11th 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 "A free toolkit providing improved neural network performance". 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. See our Azure OpenAI vs. OpenVINO report.
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