Your HPC systems demand the absolute best (and right) hardware for maximum efficiency and performance. This is why we’ve partnered with Intel, the undisputed industry leader in semiconductor manufacturing, to bring you the latest cutting edge processing technology for your HPC applications. While the Intel Xeon is the right choice for HPC workloads with parallel and serial components, the Intel Xeon Phi is the right choice for highly parallel workloads. Intel Xeon Phi coprocessors provide up to 61 cores, 244 threads, and 1.2 teraFLOPS of performance, and they come in a variety of configurations to address diverse HPC hardware, software, workload, performance, and efficiency demands. Intel Xeon Phi coprocessors are PCI Express form factor add-in cards that work synergistically with Intel Xeon processors to enable high-level performance gains for highly parallel code.
NVIDIA Tesla for Efficient HPC Performance
Named after electrical engineering pioneer Nikola Tesla, NVIDA’s Tesla GPU microarchitecture leads the way with delivering more efficient performance for data centers and HPC systems. By adding a Tesla GPU to a supported server, you can expect an increase of performance when compared to just having a CPU handle the workload. Having the accessibility of up to 4992 CUDA cores per GPU means uncompromised paralleling computing power when either compiling code or modeling and rendering 3D graphics. A Tesla GPU is perfect for data analytics applications in astronomy, biology, chemistry, physics, data mining manufacturing, the financial sector, plus many more. For both of these GPU options, your code and compiler must be modified to maximize the potential performance. Speak with one of our expert sales engineers today to see which option is best for you.