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Monday, November 12, 2012
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NVIDIA Launches Tesla K20 And K20X GPUs
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NVIDIA today used the SC12 venue to launch their major GPU compute product for the year: Tesla K20.
The Tesla K20 family of compute GPUs, which power the Oak Ridge National Laboratory?s Titan supercomputer, is based on the NVIDIA Kepler compute architecture and features the Tesla K20X accelerator, the flagship of NVIDIA's Tesla accelerated computing product line.
Nvidia claims that the new K20X provides tenfold application acceleration when paired with leading CPUs. It surpasses all other processors on two common measures of computational performance -- 3.95 teraflops single-precision and 1.31 teraflops double-precision peak floating point performance.
The new family also includes the Tesla K20 accelerator, which provides 3.52 teraflops of single-precision and 1.17 teraflops of double-precision peak performance.
Tesla K20 and K20X both feature a single GK110 Kepler GPU that includes the Dynamic Parallelism and Hyper-Q features.
| Features |
Tesla K20X |
Tesla K20 |
Tesla K10 |
Tesla M2090 |
Tesla M2075 |
| Number and Type of GPU |
1 Kepler GK110 |
2 Kepler GK104s |
1 Fermi GPU |
1 Fermi GPU |
| GPU Computing Applications |
Seismic
processing, CFD, CAE, Financial computing, Computational chemistry and
Physics, Data analytics, Satellite imaging, Weather modeling |
Seismic processing, signal and image processing, video analytics |
Seismic
processing, CFD, CAE, Financial computing, Computational chemistry and
Physics, Data analytics, Satellite imaging, Weather modeling |
| Peak double precision floating point performance |
1.31 Tflops |
1.17 Tflops |
190 Gigaflops
(95 Gflops per GPU) |
665 Gigaflops |
515 Gigaflops |
| Peak single precision floating point performance |
3.95 Tflops |
3.52 Tflops |
4577 Gigaflops
(2288 Gflops per GPU) |
1331 Gigaflops |
1030 Gigaflops |
| Memory bandwidth (ECC off) |
250 GB/sec |
208 GB/sec |
320 GB/sec
(160 GB/sec per GPU) |
177 GB/sec |
150 GB/sec |
| Memory size (GDDR5) |
6 GB |
5 GB |
8GB
(4 GB per GPU) |
6 GigaBytes |
6 GigaBytes |
| Manufacturing Process |
TSMC 28nm |
TSMC 28nm |
TSMC 40nm |
TSMC 40nm |
TSMC 40nm |
| TDP |
235W |
225W |
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250W |
225W |
| CUDA cores |
2688 |
2496 |
3072
(1536 per GPU) |
512 |
448 |
The K20X features 14 active SMXes along with all 6 memory controllers and 1.5MB of L2 cache, attached to 6GB of GDDR5. It is clocked at 732MHz for the core clock and 5.2GHz for the memory clock.
The K20 gives up 1 SMX and 1 memory controller, giving it 13 SMXes, 5 memory controllers, 1.25MB of L2 cache, and 5GB of GDDR5. It is clocked slightly lower than K20X, with a shipping core clock of 706MHz while the memory clock is held at 5.2GHz.
The NVIDIA Tesla K20 family of GPU accelerators is shipping today and available for order from server manufacturers, including Appro, ASUS, Cray, Eurotech, Fujitsu, HP, IBM, Quanta Computer, SGI, Supermicro, T-Platforms and Tyan, as well as from NVIDIA reseller partners.
MSRP for the Tesla K20 GPU is $3,199. |
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