Some things never change with High-Frequency Servers. Tick-to-trade latency is imperative. This is the key to maximizing your yield for an HFT server. We continue to push our own solution to the boundaries in order to make this work for your yield. 

CPU performance is imperative to High-Frequency Servers. We continue to see a large trend with CPU manufacturers aiming new releases around HFT workloads. Tick-to-trade is vital and that is continuously being noted. 

With Intel releasing Raptor Lake and the new AMD Zen4 Ryzen 7000 just hitting the market, we realize the need for these new CPUs will be strong, especially for High Frequency Trading. One of the problems initially that come with such large-scale CPU releases is availability.

One of the extremely good pieces of news within the CPU market over the last few weeks is the new CPU releases from the two major CPU creators.

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.

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.

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.