We don't request technical support from the local HPE because we have in-house engineers. HPE Apollo is a good product, but it has to improve its support to all the distributors and appoint value-added distributions. Overall, I rate HPE Apollo a seven out of ten.
Solution integration Architect (HPE, Dell, Vmware, AWS, Azure) at Computer Marketing Company Pvt Ltd
Real User
Top 10
2023-06-16T09:35:00Z
Jun 16, 2023
Ideally, any work-intensive requirement platform for HPC and deep learning, and GPU-intensive platforms must use HPE Apollo. It is one of the best solutions we have at the moment for HPC and deep learning. I rate the solution a nine out of ten.
I rate this solution a ten out of ten. Unfortunately, I have been working with it for only two months, so I cannot give advice to others. However, the solution is good and can be improved by including automatic implementation in the next update.
Head of TV Engineering and Operations at a comms service provider with 10,001+ employees
Real User
2021-04-17T13:32:36Z
Apr 17, 2021
I can recommend this solution. It is easy to maintain. If you have an infrastructure team, you won't have any problem with it. I would rate HPE Apollo a nine out of ten.
What is a rack server? A rack mount server is a computer that is designed to be set in a shelf-like structure called a server rack. Since rack servers are smaller than tower servers, they can be positioned in a bay. This means you can stack multiple rack servers on top of each other. The bay, or server rack, can accommodate all servers, storage units, security appliances, and similar devices you may need in a single space. Therefore, one of the advantages of rack servers is their...
We don't request technical support from the local HPE because we have in-house engineers. HPE Apollo is a good product, but it has to improve its support to all the distributors and appoint value-added distributions. Overall, I rate HPE Apollo a seven out of ten.
Ideally, any work-intensive requirement platform for HPC and deep learning, and GPU-intensive platforms must use HPE Apollo. It is one of the best solutions we have at the moment for HPC and deep learning. I rate the solution a nine out of ten.
I rate this solution a ten out of ten. Unfortunately, I have been working with it for only two months, so I cannot give advice to others. However, the solution is good and can be improved by including automatic implementation in the next update.
I would recommend the solution to others. I rate HPE Apollo an eight out of ten.
I rate HPE Apollo an eight out of ten.
I can recommend this solution. It is easy to maintain. If you have an infrastructure team, you won't have any problem with it. I would rate HPE Apollo a nine out of ten.