Building a GPU cloud contains many variables, hardware and software. You can think of it as building blocks.
SuperMicro continues to push the boundaries in terms of GPU server deployments and form factors. SuperMicro recently announced an 8U GPU, which, in their words, is the “most advanced GPU server, incorporating eight NVIDIA® H100 Tensor Core GPUs”.
With the rising cost of parts and the expensive DDR5 memory associated with AMD’s new CPUs, retailers are starting to come to grips with the need for more affordable motherboards for the new AMD Ryzen 7000 line.
Intel last week intensified the battle with AMD once again with the release of its Raptor Lake CPUs.
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.
Building a cluster, especially for high performance, requires several elements and several elements to work in tandem to get the performance in unison.
AMD Clusters are becoming more prevalent for many use cases. Whether you require a financial cluster, a large transcoding setup or a general virtual machine cluster, AMD performance metrics are becoming extremely hard to ignore.
We’re starting to see more and more information regarding Intel Raptor Lake appear, including SKUs.
We’re in the middle of Intel vs AMD performance war, for the nth time. We now know the landscape and the confirmed release dates for the AMD Ryzen 7000 processors. September 27th they’ll be available globally.
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.