VP & Head Business Support Group at a tech services company with 1,001-5,000 employees
Real User
Top 20
Apr 14, 2026
My main use case for HPE Apollo Systems is replacing many of the servers and storage boxes at one of the customer's sites to achieve workload optimization and optimized solutions. Additionally, wherever the client is discussing hyper-converged infrastructure, that is something we are positioning.
I have been distributing this product for three years. I don't have specific use cases, and everything about the major use case for HPE Apollo Systems is good. I don't know the purpose clients are using the product for, and I don't remember.
We were working with HPE Apollo Systems for one of our projects for the company named VVDN. We were using HPE Apollo Systems, GPU systems and CPU systems. For GPU systems, the model was 6500, in which there was an eight A100 per node server, and we were using 91 such systems that were connected over InfiniBand. For CPU uses, we were using Apollo 20.
Solutions Architect/Team Lead - Business Data and Data Protection at a tech consulting company with 501-1,000 employees
Real User
Jun 3, 2020
Our primary use case for Apollo servers are as JBODs for Veeam. They form a great basis for a high density disk environment and as a landing pad for backups. There are Nutanix Apollo servers as well, which enable us to do the 4 nodes in 2U configurations or ultra-high-density Nutanix nodes.
Principal Engineer at a manufacturing company with 10,001+ employees
Vendor
Jun 24, 2018
We've only been using it for about a month so far. This is a system that's on loan to us from HPE. It's a Gen10 version with eight NVIDIA V100 GPUs and four nodes. We have already purchased the unit. This is on loan to us until we receive the Apollo 6500 that we ordered. For storage we're using a Seagate SSD Array, all-flash array, as well as EL4000. The Apollo 6500 is for machine-learning, specifically for wafer generation, wafer analysis, for one of our operations sites in Minnesota.
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 main use case for HPE Apollo Systems is replacing many of the servers and storage boxes at one of the customer's sites to achieve workload optimization and optimized solutions. Additionally, wherever the client is discussing hyper-converged infrastructure, that is something we are positioning.
I have been distributing this product for three years. I don't have specific use cases, and everything about the major use case for HPE Apollo Systems is good. I don't know the purpose clients are using the product for, and I don't remember.
We were working with HPE Apollo Systems for one of our projects for the company named VVDN. We were using HPE Apollo Systems, GPU systems and CPU systems. For GPU systems, the model was 6500, in which there was an eight A100 per node server, and we were using 91 such systems that were connected over InfiniBand. For CPU uses, we were using Apollo 20.
Our primary use case for Apollo servers are as JBODs for Veeam. They form a great basis for a high density disk environment and as a landing pad for backups. There are Nutanix Apollo servers as well, which enable us to do the 4 nodes in 2U configurations or ultra-high-density Nutanix nodes.
We use HPE Apollo for specific requirements of Linux servers.
The solution is used in the Telecom sector for deep learning and artificial intelligence.
The HPE Apollo is used as a server for our system clusters.
We've only been using it for about a month so far. This is a system that's on loan to us from HPE. It's a Gen10 version with eight NVIDIA V100 GPUs and four nodes. We have already purchased the unit. This is on loan to us until we receive the Apollo 6500 that we ordered. For storage we're using a Seagate SSD Array, all-flash array, as well as EL4000. The Apollo 6500 is for machine-learning, specifically for wafer generation, wafer analysis, for one of our operations sites in Minnesota.