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My firm was very satisfied with this product. Takes advantage of high-speed resources when used with Azure GPU and Azure networks. Host trained models easily on Azure and add real-time training. Had parallelism with accuracy on multiple GPUs/machines via 1-bit SGD and Block Momentum. Also, had
memory sharing and other built-in methods to fit even the largest models in GPU memory. Avis collecté par et hébergé sur G2.com.
There is really not anything that we dislike with this product except perhaps the cost. Avis collecté par et hébergé sur G2.com.
*Easily consumable
*relativity cheap
*easy sign up and management process
*generic cognitive APIs are relatively commoditized
*bootstrap potential with an app/solution Avis collecté par et hébergé sur G2.com.
I do not have many complaints with this, only one that I can think of is constraints in ML models and is intended for general use. Avis collecté par et hébergé sur G2.com.