Likelihood to Recommend I honestly don't see an area where the PureSystem couldn’t fit in and be of a great use due to its ability to integrate a multitude of technology, (some that are outdated even) to create a stable network platform. I think if a corporation is seeking to upgrade their system but is financially disadvantaged they couldn't make a better investment for more bang for the buck than buying the IBM PureSystem.
Read full review 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.
Read full review Pros Data reliability- by monitoring and increasing load balances PureFlex has made data and applications available more readily across departments. PureFlex- has increased data integrity. By insuring that data is transported with greater fluidity, PureFlex has increased our data integrity by many folds. By helping us to be more precise in our data delivery, our customers have been more satisfied. PureFlex- Integration within and scalability has been seamless. We have not experienced very many issues and the ones we have experienced were readily mitigated with the expert help of IBM technicians. Read full review Simplified AI data management infrastructure Feasible DL pipeline building Powerful solution to build data fabric Read full review Cons Efficiency- PureSystems has enabled our users to work more efficiently with customer orders, providing the requested data in a far less turn around time than ever before. Scalability- We have already have had to scale up our memory storage due to a successful agreement with a data warehouse and it was a seamless effort completing the project with the assistance of expert IBM technicians at our call when we had any questions. Combinability- PureFlex's ability to pretty much accept any other technology and incorporate it into a single network has saved us a tremondeous amount of money and time to stable platform. Read full review Documentation is highly technical Support not upto the mark Data science tool kit needs few improvement with added features Read full review Alternatives Considered Well there was a lot going for the
vCE block systems we considered the 200 and 300 series. These two series seemed to overlap each other just about right where we are at in our IT needs. The 200 series leaned more to the less side of our needs and the 300 leaned to the farside of our needs. The
vCE didn't appear to be compatible with a lot of our current configured components, while the PureSystem did. So that was the real clincher for us. We spent maybe a week integrating everything and testing to insure things had integrated as expected but it was well worth the effort and time.
Read full review 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
Read full review Return on Investment We were seeking a means to better leverage what we had without rebuilding the entire system, the PureSystem enabled us to do just that. At first we were very hesitant of the system's robustness, it was to be honest a little intimidating, however with IBM always ready to hear our question no matter how small they might of seemed, we got rolling very quickly, I won't say effortlessly but very quickly. When it came time on short notice that we needed greater storage and flexibility to incorporate some new application, the new system performed very well with incorporating the new applications and the increase of storage. Read full review It reduced the time complexity It increased productivity Faster computation Read full review ScreenShots