Infinio vs. NetApp ONTAP AI

Infinio is best suited for infrastructure that has high-latency read IO performance challenges. It does nothing to help write IO, so keep in mind the type of workload for which you need to reduce latency. If you have traditional SAS or SATA storage, Infinio has a tremendous impact on the response time of many applications. You can build your cluster's caching pool from either available RAM or an internal drive inside each host. This flexibility helps Infinio to be suitable across many types of environments.

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

• Citrix system boot time and application opening much faster
• SQL database efficiency

Incentivized

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

Incentivized

• The interface needs a way to allow for RBAC so everyone is not an admin.
• Alerts should be configurable whenever a VM or host is not functioning correctly.

Incentivized

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

Incentivized

Support has always been helpful and responsive. Upgrades can be guided and scheduled so you can be confident that things will go smoothly. The product issues have been minimal and the support team has always done a great job at getting back to me with the recommended fixes that solved my problems.

Incentivized

Infinio has no real market competition. There was a tool called Pernix FVP that did both read/write acceleration that I evaluated that became end-of-life while it was in POC. It was more complicated to deploy and remove than Infinio and required downtime for each host. Also, the fact that it was no longer supported made the decision to choose Infinio easy.

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

• Positive impact has been delaying large storage refresh purchases.
• Positive impact has been improving read latency without having to add infrastructure.

Incentivized

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

Incentivized