Azure OpenAI vs OpenVINO comparison

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6,329 views|5,956 comparisons
87% willing to recommend
OpenVINO Logo
3,382 views|2,072 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.

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To learn more, read our detailed AI Development Platforms Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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 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.""Generative AI or GenAI seems to be the best part of the solution.""Our clients are interested in building knowledge bases, particularly in child welfare. In this domain, we focus on supporting caseworkers by compiling and organizing relevant information. This information is then stored in a database using a query. The database generates summaries and reminders for specific actions and even facilitates sending emails to parents or other relevant parties. The system's complexity is tailored to the specific needs of child welfare cases. Additionally, we're exploring opportunities to assist a healthcare organization. Specifically, we're working on streamlining the process of filling out forms required for insurance claims. This effort aims to ensure that hospitals can receive funding or payment for the care they provide.""It's very powerful. It allows users to query our documents using natural language and receive answers in the same way. This makes our product information much more accessible than traditional keyword-based search.""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 high precision of information extraction is the most valuable feature."

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"The initial setup is quite simple.""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 inferencing and processing capabilities are quite beneficial for our requirements."

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Cons
"Our customers are worried about data management, ethical, and security issues.""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.""Azure OpenAI is not an optimized tool yet, making it one of its shortcomings where improvements are required.""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.""There is room for improvement in their support services.""Azure OpenAI is not available in all regions, and its technical support should be improved.""The solution needs to accommodate smaller companies.""Deployment was slightly complex for me to understand."

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"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.""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:It's very powerful. It allows users to query our documents using natural language and receive answers in the same way. This makes our product information much more accessible than traditional… more »
    Top Answer:The solution's pricing depends on the services you will deploy. The solution's ChatGPT service would have a different price depending on the number of tokens or requests. If you go for machine… more »
    Top Answer: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… more »
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    Ranking
    2nd
    Views
    6,329
    Comparisons
    5,956
    Reviews
    15
    Average Words per Review
    465
    Rating
    8.3
    10th
    Views
    3,382
    Comparisons
    2,072
    Reviews
    0
    Average Words per Review
    0
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    Microsoft
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    OpenVINO
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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 Company38%
    Marketing Services Firm13%
    Energy/Utilities Company13%
    Manufacturing Company13%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company14%
    Manufacturing Company10%
    Educational Organization6%
    VISITORS READING REVIEWS
    Manufacturing Company36%
    Computer Software Company9%
    University8%
    Comms Service Provider7%
    Company Size
    REVIEWERS
    Small Business52%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise74%
    Buyer's Guide
    AI Development Platforms
    April 2024
    Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: April 2024.
    768,857 professionals have used our research since 2012.

    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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    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.