We chose this machine for its scalability features. This model, the Superdome Flex 280, has limits in terms of scaling, but we are interested in potentially upgrading memory if needed. This will depend on the machine's usage. If our research applications become more complex, we'll need to extend memory support.

I would rate the scalability a seven out of ten because the issue is we can't add more chassis and I'm aware of that limitation. This specific model is limited to two chassis.

Our configuration already has the maximum equipment – eight processors. So, memory is the only way we can scale further.

If I compare this machine's scalability to other servers, it offers better scalability as a single machine. However, we could also scale by buying additional machines or creating a cluster. So, for a single machine, the scalability is good, albeit with limits for this specific model.

The machine is dedicated to a very complex job, so most CPUs are allocated to that. Currently, only two of my colleagues are using it.

We are experimenting with this machine for different jobs. We plan to make it available for other use cases in our department. So, different research groups will use it in the future.

The scalability of HPE Superdome X is very good. It's easily scalable. We can scale it on the fly without having any downside. It's very agile.

Our IT department of approximately six people using this solution. We do not have plans to increase usage at this time. 

We have been running applications on the individual Superdome X nodes. For us, those are a scale-up solution. We build them with a very large RAM, so they gave us the scale that we needed.

This is a scalable solution. We have approximately 10,000 users. We don't plan on expanding our usage at this time.

We've utilized the nPar hard partitions, and we now have a three-part Superdome in order to scale.

There's no internal disk, so you would have to add your disks, but you can add memory. You can scale up to a ton of memory, which it's great for data warehousing, great for business analytics, and great for a lot of that stuff.

It's basically for large business, enterprise. You look at the scaleof big databases that are the core of the business, for example, for core banking or a billing system in a telco company. A SAP implementation. That's the kind of application.

It's very scalable. You can change the blades, you can increase the capacity of it. You can operate the blades and the CPU. Even though it's usable with v2, v3, you can upgrade it to v4 Intel.

Nothing is in production yet, we just deployed it four weeks ago. We're still in the setup phase. It will go in production in the next coming month.

It's scaling where we need to go. The issues we have are more the application not scaling; application design issues, not hardware issues. The hardware will go further than our application will.