Reliable data storage and access is a big challenge in AI applications and IBM ESS is a service you need to solve the problem. If you are building an AI service and you already use the IBM ecosystem for AI compute requirements, ESS can serve as an excellent software based storage solution. Integration with other platforms such as EMR/Databricks is still a challenge and should be improved.
For environments where high IO and read writes are performed the flash storage is very well suited . We also use this for another customer as a back end storage for high performance backups where we run multi stream data writes to it via 100G interface.
Cyber resilience with the new functionality of immutable copies called sfaguarded copies
With the IBM FlashCore modules it allows us to have good levels of online compression of the information, besides that it is a hardware compression that would not affect the performance of the equipment
the virtualization of other storages that can be IBM or other brands
As flash technology evolves rapidly, vendors should [adapt] to the changes and onboard them in their products. IBM is a bit slow in adopting advanced technology in [its] portfolio. Even though the current product is good, my decision is purely based on how the transformation of the product [is] being produced and supplied to [the] end-user.
The low latency for best performance and improve productivity. This is very much suitable for all the usecases where data intensive processing need to be performed. The administration is very easy and logical. It helps to run the infrastructure at optimial cost and optimal performance. It offers great deal of virtualisation featurs and they are indeed very much powerful.
Even though the model is suited towards smaller or medium sized businesses, the speeds and performances seen via our benchmarks exceeded any requirements we initially had. The setup was quite simple and the additional features such as allowing for better hyrbid storage and containerization has improved the backend performance of our company immensely.
IBM support ecosystem is robust and well organized, due to the advent of Watson based case management system IBM offers a decent support system for the customers and the users of its products.
I was amazed by the way IBM Flash storage provides a huge amount of storage within the limited footprint, it helped us to replace big fat storage arrays, which aided in the process of moving towards lower hardware, carbon, and energy consumption footprint. We can comfortably say that Flash helped us to host applications fast with a blazing speed and user transactions are quite quick.
IBM ESS is optimized for AI and Big Data usecases while S3 is a general purpose storage solutions. EMR and Databricks have lakehouse/data warehousing solutions for distributed computing but are more optimized for just the big data pipelining solutions and not essentially for AI usecases, especially for inference, when you need to load model artifacts really quickly.
For the past six months, we have been utilizing this technology in our projects to manage a massive workload and produce swift business outcomes on a crucial production database. The IBM FlashSystem 7200, which offers high performance and compression, has so far been a great experience for us. The results and functionality of this product have delighted our consumers.
