The Advantages of GPU Computing
GPU solutions are an ideal option for government and academic research centers, as well as businesses that need an efficient method of parallel computing.
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Graphics Processor and GPU Computing
"Beyond their appeal as cost-effective HPC accelerators, GPUs also have the potential to significantly reduce space, power, and cooling demands, and reduce the number of operating system images that must be managed relative to traditional CPU-only clusters of similar aggregate computational capability."
- NCSA White Paper
GPU computing is the use of a graphics processing unit (GPU) in computing purposes, from general-purpose to supercomputing tasks. With a constantly growing demand for greater computing performance across the board, the hybrid model which integrates the roles of GPUs and CPUs is becoming increasingly popular. As parallel processors, GPUs excel at handling large amounts of similar data since they can split problems and tasks into literally thousands of pieces to be calculated simultaneously. On the other hand, CPUs can much more easily tackle serial-based tasks like running an operating system. Together, they are the perfect complement and supplement.
GPU Grid Computing
GPU computing is well-suited for grid computing, combining different computer clusters together to manage complex and intensive computational workloads.
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Cuda GPU Technology
Cuda is the architecture behind NVIDIA's® GPU technology, powering ICC's GPU solutions.
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ICC GPU Computing Products
Our NovaServ™ and NovaStation™ product lines combine the very best technology from SuperMicro, Intel, AMD, and NVIDIA. We offer a number of different configurations. Below is a sample. Feel free to configure one of these products or contact us via the link at the bottom to learn more about our GPU computing solutions.
- Entry Level — ICC 6016GT-T Supermicro-based Dual Intel Xeon 1U GPU Server
- Value Server — ICC 2026GT-TRF Supermicro-based Dual Intel Xeon 2U GPU Server
- Workstation — ICC 7046GT-TRF Dual Intel Xeon GPU Workstation
- Research Scale — ICC Tesla GPU Simclusters
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