Azure OpenAI vs OpenVINO comparison

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6,658 views|6,241 comparisons
90% willing to recommend
OpenVINO Logo
3,268 views|1,978 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Azure OpenAI vs. OpenVINO Report (Updated: May 2024).
772,649 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""OpenAI's models are more mature than Watson's. They offer a wider range of features and provide richer outputs.""The most crucial aspect is the conversational capability, where you can simply ask questions, and it provides answers based on your content and documents, particularly tailored to your specific environment.""The most valuable feature is the ALM.""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.""The product saves a lot of time.""OpenAI integrates seamlessly with the broader Microsoft Azure ecosystem, and that provides synergies with the other solutions. This integration makes it much easier to build solutions."

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"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."

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Cons
"Azure OpenAI is not an optimized tool yet, making it one of its shortcomings where improvements are required.""We are awaiting the new updates like multi-model capabilities.""The solution needs to accommodate smaller companies.""The product features themselves are fine. However, with Microsoft scaling the service so much, the support structure needs to keep pace. When solving complex issues, the process of interacting with Microsoft can be quite time-consuming.""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.""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.""The solution's response is a bit slow sometimes.""One area for improvement is providing more flexibility in configuration and connectivity with external tools."

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"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.""At this point, the product could probably just use a greater integration with more machine learning model tools."

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Pricing and Cost Advice
  • "The cost structure depends on the volume of data processed and the computational resources required."
  • "The pricing is acceptable, and it's delivering good value for the results and outcomes we need."
  • "The cost is pretty high. Even by US standards, you would find it high."
  • "The cost is quite high and fixed."
  • "The tool costs around 20 dollars a month."
  • "Cost-wise, the product's price is a bit on the higher side."
  • "I'm uncertain about the licensing, specifically the pricing. This falls under the purview of other teams, particularly the sales teams. I am not informed about the pricing details."
  • "According to the negotiations taking place and the contract, there is a need to make either monthly or yearly payments to use the solution."
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  • "We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."
  • More OpenVINO Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The product is easy to integrate with our IT workflow.
    Top Answer:If you consider the long-term aspect of any project, Azure OpenAI is a costly solution. However, the solution is cheap if you just want to see results or try some POC in the initial stages. This is… more »
    Top Answer:While the product is closely linked with several other products offered by Microsoft Azure, especially when building generic AI solutions, some aspects could still be enhanced. One area for… more »
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    Ranking
    2nd
    Views
    6,658
    Comparisons
    6,241
    Reviews
    17
    Average Words per Review
    466
    Rating
    8.0
    11th
    Views
    3,268
    Comparisons
    1,978
    Reviews
    0
    Average Words per Review
    0
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    Microsoft
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    Overview

    The Azure OpenAI service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.

    OpenVINO toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends computer vision (CV) workloads across Intel hardware, maximizing performance. The OpenVINO toolkit includes the Deep Learning Deployment Toolkit (DLDT).

    Top Industries
    REVIEWERS
    Computer Software Company27%
    Marketing Services Firm18%
    Financial Services Firm18%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company14%
    Manufacturing Company11%
    Educational Organization6%
    VISITORS READING REVIEWS
    Manufacturing Company39%
    Computer Software Company9%
    University8%
    Educational Organization6%
    Company Size
    REVIEWERS
    Small Business48%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    Buyer's Guide
    Azure OpenAI vs. OpenVINO
    May 2024
    Find out what your peers are saying about Azure OpenAI vs. OpenVINO and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Azure OpenAI is ranked 2nd in AI Development Platforms with 24 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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    We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.