OpenVINO Toolkit Reviews & Product Details

I was working for Intel Client where we used to seamlessly integrate with Tensorflow and pytorch. It has got best optimization in terms of deep learning models across our hardware backends like CPUs, GPUs. The best thing is it can also compiles non-intel hardwares if utilized. We also get through some regular updates which is good. Review collected by and hosted on G2.com.

Nothing dislike as such. Need better documentation if you are unaware to use (basically for beginners). Non-intel architecture needs some broader support since you may need extra effort to integrate. Review collected by and hosted on G2.com.

It has gained my attention in solving most common dynamic analysis an computations within lesser time. Simulation time has reduced to almost 1 hour from manual bridge analysis time of 6 hrs. Review collected by and hosted on G2.com.

Since I am an end user of ngraph, it has lacked to integrate built-in functions for common structural analysis tasks like British standard codes for bridge analysis, AI model analysis etc. Tool is bit complicated to use for Non- Software engineers. Review collected by and hosted on G2.com.

Fantastic tool for deep AI modelling especially for simulation and design analysis and validation. While I specially simulate voice and vibration analysis, its AI-augmented engineering is just so good. Review collected by and hosted on G2.com.

While I use this software very rarely, it has few complications regarding to integration with other mechanical design software. Could have made few inbuilt dependencies for easy integrations. Review collected by and hosted on G2.com.

Framework Flexibility, Supports popular frameworks like TensorFlow and MXNet through plugins and bridges. Review collected by and hosted on G2.com.

Limited Support for Newer Frameworks, As AI frameworks evolve rapidly, support can lag or require custom integrations. Review collected by and hosted on G2.com.

its flexibility and optimization capabilities Review collected by and hosted on G2.com.

Complexity

Community and Support- Compared to more established frameworks like TensorFlow and PyTorch, nGraph might have a smaller community and less extensive support Review collected by and hosted on G2.com.

It's has capabilities like flexibility and optimization and ease of implementation Review collected by and hosted on G2.com.

Less community support and documentation

A bit difficult to use Review collected by and hosted on G2.com.

It's versatility and expansion capabilities. Review collected by and hosted on G2.com.

Sophistication

Less documentation available. Review collected by and hosted on G2.com.

How convenient and user friendly it is. Anyone can use it. Review collected by and hosted on G2.com.

Maybe the design can be improved so it is more attractive to the eye Review collected by and hosted on G2.com.