AMD FirePro S9150 100-505884 16GB 512-bit GDDR5 PCI Express 3.0 x16 Full-height, full-length, dual-slot width Graphics Card

28nm GCN (Graphic Core Next) ArchitectureThe 28nm GCN Architecture with more efficient process technology puts more transistors in less space

enabling an increase in processing power and graphics performance.Each compute unit can execute instructions from multiple kernels at onceDesigned for high-utilization

high-throughput

and multi-taskingDual geometry Engines for faster triangle ("primitive") processingAMD Stream TechnologyPowers the ecosystem that enables AMD FirePro S-series server cards to be used for compute-intensive workflows leveraging the parallel processing power of AMD GPUs

and accelerate many applications beyond just graphics.Full 30-Bit Display PipelineWith a full 30-bit display pipeline producing more than one billion colors (10-bit per RGB component). The AMD FirePro is suited for applications that benefit from accurate color reproduction. PowerTunePower management technology that provides direct control over GPU power usage. Applications enjoy ultimate performance with dynamic clock optimization

while minimizing workstation energy usage.AMD Zerocore Power TechnologyUp to 95% idle power reduction by shutting down GPU.Error Correcting Code (ECC) MemoryCorrect single bit memory errors in hardware. ECC memory maintains a memory system effectively free from single-bit errors: the data read from each word is always the same as the data that had been written to it

even if a single bit actually stored

or more in some cases

has been flipped to the wrong state. Some non-ECC memory with parity support allows errors to be detected

but not corrected

otherwise errors that may occur are not detected.Passive CoolingServer-friendly

low-profile design enables maximum device density and carefree maintenance. Cooled solely by internal server airflow

FirePro GPUs using this approach can effectively reduce complexity and maximize reliability for IT organizations requiring server-based visual computing.