nVidia Tesla | |
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The Tesla graphics processing unit (GPU) is nVidia's third brand of GPUs. It is based on high-end GPUs from the G80 (and on), as well as the Quadro lineup. Tesla is nVidia's first dedicated General Purpose GPU. The Tesla series takes its name from pioneering Serbian electrical engineer Nikola Tesla.
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Because of their very high computational power (measured in floating point operations per second or FLOPS) compared to previous microprocessors, the Tesla products target the high performance computing market.[1] The lack of ability to output images to a display[2] was the main difference between Tesla products and the consumer level GeForce cards and the professional level Quadro cards, but the latest Tesla C-class products include one Dual-Link DVI port [3]. (C. For equivalent single precision output, Fermi-based nVidia Geforce cards have four times less dual-precision performance. Tesla products primarily operate[4]:
As of 2011[update] nVidia Teslas power the second-fastest supercomputer in the world, Tianhe-1A, in Tianjin, China.
Configuration | Model | # of GPUs | Core clock in MHz (each) |
Shaders | Memory | Processing Power (peak) GFLOPs[5] |
Compute capability4 | TDP watts | Form factor and features |
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Thread Processors (total) | Clock in MHz (each) | Bandwidth max (GB/s) | Bus type | Bus width (bit, each GPU) | Total size (MiB) | Clock (MHz) | Single Precision(SP) Total(MUL+ADD+SF) | Single Precision(SP) MAD(MUL+ADD) | Double Precision(DP) FMA | |||||||
GPU Computing Processor1 |
C870 | 1 | 600 | 128 | 1350 | 76.8 | GDDR3 | 384 | 1536 | 1600 | 518.4 | 345.6 | 0 | 1.0 | 170.9 | Full-height video card |
Deskside Supercomputer1 | D870 | 2 | 600 | 2 × 128 (256) | 1350 | 153.6 | GDDR3 | 384 | 3072 | 1600 | 1036.8 | 691.2 | 0 | 1.0 | Deskside system or Rack unit | |
GPU Computing Server1 |
S870 | 4 | 600 | 4 × 128 (512) | 1350 | 307.2 | GDDR3 | 384 | 6144 | 1600 | 2073.6 | 1382.4 | 0 | 1.0 | 1U Rack | |
C1060 Computing Processor 2 |
C1060 | 1 | 602 | 240 | 1300 | 102.4 | GDDR3 | 512 | 4096 | 1600 | 933.12 | 622.08 | 77.76 | 1.3 | 187.8 | 2 slot video card |
S1075 1U [6] GPU Computing Server3,4 |
S1070 | 4 | 602 | 4 × 240 (960) | 1440 | 409.6 | GDDR3 | 512 | 16384 | 1600 | 4147.2 | 2764.8 | 345.6 | 1.3 | 1U Rack IEEE 754-2008 capabilities |
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C2050/C2070/C2075 GPU Computing Processor |
C2050/C2070/C2075 | 1 | 575 | 448 | 1150 | 144 | GDDR5 | 384 | 3072/61445 | 3000 | 1288 | 1030.46 | 515.2 | 2.0 | 238/247/225 | Full-height video card IEEE 754-2008 FMA capabilities |
M2050 GPU Computing Module |
M2050 | 1 | 575 | 448 | 1150 | 148.4 | GDDR5 | 384 | 30725 | 3092 | 1288 | 1030.46 | 515.2 | 2.0 | 225 | Computing Module IEEE 754-2008 FMA capabilities |
M2070/M2070Q[7] GPU Computing Module |
M2070/M2070Q | 1 | 575 | 448 | 1150 | 150.336 | GDDR5 | 384 | 61445 | 3132 | 1288 | 1030.46 | 515.2 | 2.0 | 225 | Computing Module IEEE 754-2008 FMA capabilities |
M2090[8][9][10] GPU Computing Module |
M2090 | 1 | 650 | 512 | 1300 | 177 | GDDR5 | 384 | 61445 | 1850 | 1331 | ? | 665 | 2.0 | 225 | Computing Module IEEE 754-2008 FMA capabilities |
S2050 1U GPU Computing System |
S2050 | 4 | 575 | 4 × 448 (1792) | 1150 | 4 × 148.4 (593.6) | GDDR5 | 384 | 122885 | 3092 | 5152 | 4121.66 | 2060.8 | 2.0 | 900 | 1U Rack IEEE 754-2008 FMA capabilities |
Notes
NVIDIA Product Overview and Technical Brief
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