HPC card (NVIDIA TESLA)

TCSK20CARD-PB

PNY NVIDIA Tesla K20, 2496 CUDA parallel processing cores @ 706 MHz, GK110 chip, frame buffer 5GB GDDR5 5200,  320-bit memory interface, 208GB/sec memory bandwidth, double floating point precision >1000 GigaFLOPS DP, PCIe Gen2 x16 bus interface, no ports, 2 x  6-pin PCIe power connectors, Programming enviroment CUDA, 225Watt, 26.5 cm long, dual slot

TCSK40CARD-PB

PNY NVIDIA Tesla K40, 2880 CUDA parallel processing cores @ 745 MHz, GK110B chip, frame buffer 12GB GDDR5 6000,  384-bit memory interface, 288GB/sec memory bandwidth, double floating point precision >1000 GigaFLOPS DP (1.43 Tflops), PCIe Gen3 x16 bus interface, no ports, 6-pin PCIe and 8-pin power connectors, Programming enviroment CUDA, 235Watt, 26.5 cm long, dual slot, Ultra quiet active cooling

TCSK80M-PB

PNY NVIDIA Tesla K80, 4992 CUDA parallel processing cores @ 745 MHz,2 x  GK210 chips, frame buffer 24GB GDDR5 6000 (12GB per GPU),  384-bit memory interface, 480GB/sec memory bandwidth, double floating point precision  2.91 Tflops, PCIe Gen3 x16 bus interface, no ports, 8-pin power connector, Programming enviroment CUDA, 300Watt, 26.7 cm long, dual slot, passive cooling

Tesla GPU Accelerators are built on the NVIDIA Kepler compute architecture and powered by CUDA, the world’s most pervasive parallel-computing
model. This makes them ideal for delivering record acceleration and compute performance efficiency for applications in fields
including: Machine Learning and Data Analytics, Seismic Processing, Computational Biology and Chemistry, Weather and Climate Modeling,
Image, Video, and Signal Processing, Computational Finance/Physics, CAE and CFD.