AMD has been continuing to acquire market share over the last couple of years and we’ve noticed a large interest in AMD Ryzen & Epyc Servers. AMD managed to make some serious inroads with their 5000 series Ryzen processors that were able to beat Intel Rocket Lake like-for-like on CPU benchmarks.

Building a #HPC cluster is challenging, especially with the variety of hardware and software options that are available. With the ever-changing hardware landscape, especially at the high-performance end, it can be wise to split your decision into several elements and also future-proof your hardware.

When it comes to high frequency trading servers, it’s imperative that the CPU is at the forefront of your mind. Tick-to-trade is one of the metrics that matters most when it comes to High Frequency Trading servers.

Picking the correct GPU Cloud Computing setup is important given the cost and workloads involved when moving to the cloud. We shortlist our recommended building blocks for an optimized GPU cloud.

Picking the correct RAID mode is important, especially as data carries a large value. Whether you need speed or redundancy, or both, you must pick the right RAID mode for your environment. There are other factors at play, such as read and write speeds, which we will discuss in the advantages and disadvantages below.

When it comes to high frequency trading servers, several elements are key. CPUs being one of them. Fresh off the back of the recent AMD Ryzen 7000 series launch,  we can expect to see the new Ryzen 9 7950X, Ryzen 9 7900X, Ryzen 7 7700X, and Ryzen 5 7600X released on September 27th.

Low latency is extremely important for certain use cases. It’s important for CDNs as they stream at the edge. It can also be the difference in whether you make a profit or a loss. This is the case when it comes to trading servers.

Creating a low latency server can be imperative for many use cases, gaming servers, high frequency trading servers, ingress/egress with live streaming platforms and much more. We realize that everyone’s low latency is also case-by-case. 

Building a private GPU cloud can be an extremely hard task and it’s a task that has many components. The first thing to identify is whether you need a fully networked GPU cloud or do your workloads just require an integrated GPU server?

With rising power costs and with data centers passing this cost on as well as space being a premium in particular markets, it’s important to make sure you use a solution that maximizes power and space costs.