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authorLuke Yeager <luke.yeager@gmail.com>2016-04-18 15:54:21 (GMT)
committerLuke Yeager <luke.yeager@gmail.com>2016-04-18 15:54:21 (GMT)
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@@ -137,7 +137,7 @@ See [PR #1667](https://github.com/BVLC/caffe/pull/1667) for options and details.
**Laboratory Tested Hardware**: Berkeley Vision runs Caffe with Titan Xs, K80s, GTX 980s, K40s, K20s, Titans, and GTX 770s including models at ImageNet/ILSVRC scale. We have not encountered any trouble in-house with devices with CUDA capability >= 3.0. All reported hardware issues thus-far have been due to GPU configuration, overheating, and the like.
-**CUDA compute capability**: devices with compute capability <= 2.0 may have to reduce CUDA thread numbers and batch sizes due to hardware constraints. Brew with caution; we recommend compute capbility >= 3.0.
+**CUDA compute capability**: devices with compute capability <= 2.0 may have to reduce CUDA thread numbers and batch sizes due to hardware constraints. Brew with caution; we recommend compute capability >= 3.0.
Once installed, check your times against our [reference performance numbers](performance_hardware.html) to make sure everything is configured properly.