Solutions Architect/Team Lead - Business Data and Data Protection at a tech consulting company with 501-1,000 employees
Real User
2020-06-03T19:20:12Z
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.
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.
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 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.
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'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.