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.
The HPE Apollo high-density server family is built for the highest levels of performance and efficiency. They are rack-scale compute, storage, networking, power and cooling – massively scale-up and scale-out – solutions for your big data analytics, object storage and high-performance computing (HPC) workloads. From water-cooling that’s 1,000X more efficient than air, to “right-sized scaling” with 2X the compute density for workgroup and private cloud workloads, the HPE Apollo line is a dense,...
We use HPE Apollo for specific requirements of Linux servers.
The solution is used in the Telecom sector for deep learning and artificial intelligence.
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.
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.