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Testimonial
"The AMAX GPGPU system is working beautifully and we were very impressed with the quality. Overall, we feel very supported by AMAX and would be happy to purchase from them again."

- Richard Moore, Senior Group Program Manager, Microsoft
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AMAX GPU WORKSTATIONS
The GPUs boosts core count up to 1,792 and deliver 4.12 Teraflop of single precision performance, providing AMAX's comprehensive line of highly scalable GPU workstations with the muscle to tackle larger, increasingly complex, and multithreaded applications, while outperforming previous generation systems and maintaining overall power efficiency.
Model # of Double-Width GPUs GPU Cores SP Floating Point Performance (Peak) DP Floating Point Performance (Peak) CPU
PSC - 2s
4 1,792 Cores
4.12 Teraflops 2.06 Teraflops Dual Intel® Xeon® E5 series processors
PSC - 6s
4 1,792 Cores
4.12 Teraflops 2.06 Teraflops Dual Intel® Xeon® E5 series processors
PSC - 6n
4 1,792 Cores
4.12 Teraflops 2.06 Teraflops Dual Intel® Xeon® 5600 series processors
PSC - 5n
2 896 Cores
2.06 Teraflops 1.03 Teraflops Dual Intel® Xeon® 5600 series processors
Model # of Double-Width GPUs FireStream GPU SP Floating Point Performance (Peak) DP Floating Point Performance (Peak) CPU
FSC - 4R1
4 6,400 Cores
10.56 Teraflops 2.112 Teraflops Dual Intel® Xeon® E5 series processors
FSC - 4N1
4 6,400 Cores
10.56 Teraflops 2.112 Teraflops Dual Intel® Xeon® 5600 series processors
Powered by the massively parallel CUDA architecture, this workstation performs like a small cluster at 1/20th the power consumption and 1/10th the cost

Offers protection of data in memory to enhance data integrity and reliability for applications. Register files, L1/L2 caches, shared memory, and DRAM all are ECC protected
Versatile CUDA programming environment with broad support of programming languages and APIs, including C, C++, OpenCL, DirectCompute, or Fortran NVIDIAŽ Parallel DataCacheT Technology accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand.
NVIDIAŽ GigaThreadT Engine maximizes throughput with faster context switching, concurrent kernel execution, and improved thread block scheduling Ideal for industries such as life sciences, geosciences, engineering & sciences, molecular biology, medical diagnostics, electronic design automation (EDA), government and defense, visualization, financial modeling, and oil & gas applications
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