VersaStack vs. NetApp ONTAP AI

Versastack dashboard configuration is quick through the technical assistant and the ability to handle multiple projects data from one point is profitable. The Versastack also simplifies the multi cloud environment management and to connect with the third part solutions is simple. Versatile environment deliverance is another best thing on Versastack and data security is good.

If you want to deploy your AI system with precofigured solution and validated architecture and also want to scale your system, NetApp ONTAP AI is go to product. If you want to build not so large pipleline for analytics, or an ai system that dont require complex computation then its not recommended.

Incentivized

• Excellent datacenter management tool.
• Data transfer is amazing.
• Resource allocation features are fantastic.

• Simplified AI data management infrastructure
• Feasible DL pipeline building
• Powerful solution to build data fabric

Incentivized

• Not much the product is very tricky to set.
• Some features configuration needs professional
• Managing imported big data across many platforms.

• Documentation is highly technical
• Support not upto the mark
• Data science tool kit needs few improvement with added features

Incentivized

Through the use of Versastack tools is an easy process on different project resources management, protecting multiple dataflow across various environment is also incredible and reliable datacenter modernization solution. The reports produced by the Versastack tools are accurate and easy to transform and the pulling of different data from other data sources is cost effective and secure.

1) Microsoft Cognitive Toolkit (Formerly CNTK) dont have vast functionalities they are limited to set of rules. 2) They dont support all in one. I.e NetApp ONTAP AI I can analyze, inference and compute on simgle node or system. 3) pricing of Microsoft Cognitive Toolkit (Formerly CNTK) is higher than NetApp ONTAP AI

Incentivized

• With Versastack is very productive on various project resources allocation.
• Easy to access and integrate to other platforms.
• Excellent performance deliverability and reporting system.

• It reduced the time complexity
• It increased productivity
• Faster computation

Incentivized