HPE ConvergedSystem 500 for SAP HANA vs. NetApp ONTAP AI

HP ConvergedSystem 500 for SAP HANA is serving us really well in our organisation and maybe, it is very appropriate in hospitals and healthcare organisations. This is because, so far, it serves our current needs perfectly well since its deployment. However, in situations of fluctuating electric power, where power can go off for hours, it just sits and looks at you, like any other automated system anyway.

Incentivized

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

• Architecture includes expansive memory - permits additional memory as to not bog the server.
• Cloud/Server storage is reliable and permits our employees to communicate and access data on the go.
• Client Virtualization allows employee-customer access easily while on site.

Incentivized

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

Incentivized

• Too many links to click on
• Can get confusing

Incentivized

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

Incentivized

I didn't really work with that.

Incentivized

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

• Lower Overhead, cut man hour costs.
• Greater Return on Investment
• Data reliability is stronger than ever.

Incentivized

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

Incentivized