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."
"OpenAI's models are more mature than Watson's. They offer a wider range of features and provide richer outputs."
"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."
"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."
"You just have to write accurate prompts according to your requirements, and the solution gives very good results."
"The product's initial setup phase was pretty easy."
"GPT was useful for our projects."
"Azure OpenAI is very easy to use instead of AWS services."
"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 initial setup is quite simple."
"I have found the tool unreliable in certain use cases. I aim to enhance the system's latency, particularly in responding to calls. Occasionally, calls don't respond, so I want to improve reliability."
"Azure OpenAI should use more specific sources like academic articles because sometimes the source can't be found."
"I faced one issue with Azure OpenAI: My customer wanted more clarity on the pricing. They were not able to get proper answers from the documentation or the pricing calculator. I suggest that Microsoft maintain standardization in the pricing details published in the documentation and the pricing calculator."
"I noticed there are no instructional videos or guides on the network portal for initial configurations. There is limited information available, and this is a concern for me. I would like to see more resources and guides to address these issues."
"Azure OpenAI is not available in all regions, and its technical support should be improved."
"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."
"We encountered challenges related to question understanding."
"There is room for improvement in their support services."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"The model optimization is a little bit slow — it could be improved."
"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."
Earn 20 points
Azure OpenAI is ranked 2nd in AI Development Platforms with 26 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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