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.

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.

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?

We’re starting to see more and more information regarding Intel Raptor Lake appear, including SKUs. Hardware leakers have has managed to release an apparent screenshot from Amazon UK, which had some valuable information regarding the upcoming CPUs.

Trading servers go through a lot of changes on a regular basis as the ever-changing landscape for tick-to-trade latency continues to improve. CPUs, FPGAs, NICs, network stack enhancements, and choices of data centers with proximity to key systems, are just some of the elements of a trading server that need to be considered for optimal latency, which in the case of a trading server, means maximizing your yields.

GPU cloud computing is becoming an ever more important part of day-to-day computing life. There are more and more use cases because of the advantages GPUs have over CPUs for particular workloads. We’ve put together a list of GPUs that NVIDIA has here for data center workloads and what they are good for.

Building a GPU cloud can be a timely and expensive experience. There is a mixture of software and hardware you need to put together that makes an optimal GPU cloud.

There are lots of GPU choices depending on your use case and use cases vary wildly. Whether you are a home user gaming or a datacenter trying to machine learn 24/7, the use cases vary. 

There are lots of GPU choices depending on your use case and use cases vary wildly. Whether you are a home user gaming or a datacenter trying to machine learn 24/7, the use cases vary. 

SuperMicro has many solutions available and with such a wide net for building our private cloud deployments, it’s important to put together the right pieces. We’ve teamed up with Supermicro to deliver high-performance hardware solutions that are optimized for on-premise, private cloud infrastructure.