VP & Head Business Support Group at a tech services company with 1,001-5,000 employees
Real User
Top 20
Apr 14, 2026
My advice for someone considering HPE Apollo Systems is that if they are looking for consolidation and their workload involves high availability requirements, or if they want to utilize GPUs, then this is a machine that should be considered instead of deploying multiple machines and multiple systems. I gave this product a rating of 9.
I am not using these products today, and I do not work with some specific firewalls. My company is TD Synnex, a distributor company, and I work for this company. My email is , and my first name is Gökhan. I am a distributor for HP. In general, HPE Apollo Systems appears to be for rack servers with some optimization. Regarding the cooling technologies, they help to reduce operational costs. The solution does not have negative integration and is not complex. Regarding price, HPE Apollo Systems is a bit expensive. The overall review rating I would give is 10 points.
Our company is a platinum partner with HPE, and we continue to deal with HPE. We sell many of their hardware products. Depending on the requirement or deal, we may sell HPE Converged System, hardware, or converged systems. I have worked on a range of HPE hardware, including BL380, DL385, and Apollo servers, Apollo 20, Apollo 6500, MSA, and Cray storage. I find HPE Apollo Systems to be scalable and efficient for AI initiatives. The environmental efficiency has a significant impact on operational costs. Overall rating for HPE Apollo Systems: 8 out of 10.
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
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
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.
HPE Apollo Systems deliver high compute and storage density, scalability, and environmental efficiency with exceptional performance for AI initiatives and data capturing across diverse applications.HPE Apollo Systems are characterized by their dense compute and storage capabilities, offering flexibility in configurations to meet the demands of AI, deep learning, and high-performance computing. Their management software simplifies deployment, ensuring effective performance across tasks that...
My advice for someone considering HPE Apollo Systems is that if they are looking for consolidation and their workload involves high availability requirements, or if they want to utilize GPUs, then this is a machine that should be considered instead of deploying multiple machines and multiple systems. I gave this product a rating of 9.
I am not using these products today, and I do not work with some specific firewalls. My company is TD Synnex, a distributor company, and I work for this company. My email is , and my first name is Gökhan. I am a distributor for HP. In general, HPE Apollo Systems appears to be for rack servers with some optimization. Regarding the cooling technologies, they help to reduce operational costs. The solution does not have negative integration and is not complex. Regarding price, HPE Apollo Systems is a bit expensive. The overall review rating I would give is 10 points.
Our company is a platinum partner with HPE, and we continue to deal with HPE. We sell many of their hardware products. Depending on the requirement or deal, we may sell HPE Converged System, hardware, or converged systems. I have worked on a range of HPE hardware, including BL380, DL385, and Apollo servers, Apollo 20, Apollo 6500, MSA, and Cray storage. I find HPE Apollo Systems to be scalable and efficient for AI initiatives. The environmental efficiency has a significant impact on operational costs. Overall rating for HPE Apollo Systems: 8 out of 10.
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.