AMD today claimed that the AMD FirePro S9150 server Graphics Processing Unit (GPU) offers 16GB of GDDR5 memory — 33 percent more than its rivals — and maximum power consumption of 235 watts for High Performance Computing.
The AMD FirePro S9150 server card is the first server card to support enhanced double precision and break the 2.0 TFLOPS double precision barrier.
AMD FirePro S9150 server GPUs features include 5.07 TFLOPS of peak single-precision floating point performance — up to 18 percent more than the competition; Maximum double-precision floating point performance resulting in 2.53 TFLOPS peak double-precision compute performance — half of its peak single precision performance; 16GB GDDR5 memory, 512-bit memory interface and up to 320 GB/s memory bandwidth.
“We’re currently testing the AMD FirePro S9150 server card and hands down it’s the fastest HPC GPU accelerator we’ve ever tested. We’re even more excited by the prospects of combining its raw compute performance with OpenCL 2.0 later this year,” said Simon McIntosh-Smith, head of the Microelectronics Research Group at the University of Bristol.
AMD has also introduced the new AMD FirePro S9050 server GPU with 12GB of ultra-fast GDDR5 memory, ECC Memory support, cutting-edge graphics and compute performance.
The new server GPU delivers 3.23 TFLOPS of peak single precision, plus 806 GFLOPS of double precision floating-point performance for effortless processing of challenging compute workloads.
The AMD FirePro S9050 server GPU features include 12GB GDDR5 memory, 384-bit memory interface and up to 264 GB/s memory bandwidth; 1,792 stream processors (28 GCN compute units) and 225W maximum power consumption.
Both of the AMD FirePro S9150 and S9050 server GPUs feature PCIe x16 dual slot form factors and passive thermal solutions more compatible with server environments. Additionally, both cards support AMD STREAM technology which powers the ecosystem that enables AMD FirePro S-Series server GPUs to be used for compute intensive workflows leveraging the massively parallel processing power of AMD GPUs, and to accelerate many applications beyond just graphics.