HPC Clusters are becoming more and more common and they are coming in many variations. Put simply, an HPC cluster is many networked computing nodes put together for a particular use case. It’s a cluster of high performing compute nodes. 

When it comes to High Frequency Servers, there are a few key elements needed to ensure successful performance. Tick to trade latency is imperative. This is the key to a highly performing High Frequency Server. We’ve put together a system focused on low latency, which is the key element to success in a high frequency server.

Private Cloud configurations are tough to get right. You then layer on the difficulty of picking the right GPU and you have quite the task to put together a highly performing and affordable GPU cloud.

With AMD fans on the edge of their chairs for the new Zen 4 based processors, we can see from recent comments from AMD that the timeline for the new Ryzen 7000 processors is getting closer. 

Building a private cloud can be complicated and it can also vary wildly based on your use case. Whether you’re building a large GPU cloud or you’re building a heavy storage cloud can change your configuration significantly.

Making the right RAID card choice can often depend on your server configuration and drive type(s) as well as OS support for your particular RAID card(s). 

Intel and AMD are going head to head in a fierce battle for market share. As device growth continues per person and per country, Intel and AMD are after an ever growing space. AMD has really pushed Intel hard over the last couple of years with their Zen 3 based processors. They have continued to eat at Intel’s market share at the consumer and datacenter level.

HighPoint, a manufacturer of leading RAID controllers, has announced a new RAID card with extreme performance for a single RAID array. HighPoint 8-Port High-Port-Count (HPC) M.2 controllers deliver unbeatable performance and storage capacity in a compact PCIe device that can be easily integrated into any industry standard computing platform.

Building a GPU Private Cloud can take a lot of design work and a lot of consideration based on your use case. Software can be challenging or provide underperformance if not assessed and implemented correctly. 

We’ve built many GPU Clouds and building the correct private cloud can be tricky. There are many components that go into building a well-optimized, virtualized GPU Cloud.