GPU Compute Solutions

GPU compute servers use graphics processing unit (GPU) to accelerate math heavy workloads with parallel processing. The GPU works as a co-processor to speed up the CPU, increasing the computing performance. Tasks which normally take hours to complete, can often be done in minutes. GPU optimized servers allow for installation of one or more GPUs. In some applications, GPUs can optimize the computing speed 100 times.

Typical usage areas benefiting from GPU Compute servers are HPC (High performance computing), professional rendering and visualization, big data analytics, AI and deep learning. For instance, performing repetitive tasks machine learning training in engineering and computing science. GPU Compute servers are ideal across all industries requiring huge computing power.

Nextron is an NVIDIA Elite Partner certified in all professional product areas.

Key features of GPU compute systems

Extra space for several double width, full length PCI-e cards, the form factor used by most high-end GPUs
Large power supply supporting several power-hungry GPUs
Efficient cooling solutions, capable of handling the heat generated by GPUs running at full load over time
CPU configurations providing enough PCI-e lanes to ensure full bandwidth to all connected GPUs. CPU performance is often not critical as long as the main processor is powerful enough to keep the GPUs fed with compute jobs
Storage capacity is usually fairly limited, but storage performance might be critical. Fast flash based storage, such as NVME is recommended