NVIDIA 2015 Annual Report Download - page 10

Download and view the complete annual report

Please find page 10 of the 2015 NVIDIA annual report below. You can navigate through the pages in the report by either clicking on the pages listed below, or by using the keyword search tool below to find specific information within the annual report.

Page out of 183

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75
  • 76
  • 77
  • 78
  • 79
  • 80
  • 81
  • 82
  • 83
  • 84
  • 85
  • 86
  • 87
  • 88
  • 89
  • 90
  • 91
  • 92
  • 93
  • 94
  • 95
  • 96
  • 97
  • 98
  • 99
  • 100
  • 101
  • 102
  • 103
  • 104
  • 105
  • 106
  • 107
  • 108
  • 109
  • 110
  • 111
  • 112
  • 113
  • 114
  • 115
  • 116
  • 117
  • 118
  • 119
  • 120
  • 121
  • 122
  • 123
  • 124
  • 125
  • 126
  • 127
  • 128
  • 129
  • 130
  • 131
  • 132
  • 133
  • 134
  • 135
  • 136
  • 137
  • 138
  • 139
  • 140
  • 141
  • 142
  • 143
  • 144
  • 145
  • 146
  • 147
  • 148
  • 149
  • 150
  • 151
  • 152
  • 153
  • 154
  • 155
  • 156
  • 157
  • 158
  • 159
  • 160
  • 161
  • 162
  • 163
  • 164
  • 165
  • 166
  • 167
  • 168
  • 169
  • 170
  • 171
  • 172
  • 173
  • 174
  • 175
  • 176
  • 177
  • 178
  • 179
  • 180
  • 181
  • 182
  • 183

HPC & CLOUD
ACCELERATING
HPC AND DEEP
LEARNING
GPU computing continues to expand its reach. Researchers around the
world are doing groundbreaking work in areas as diverse as preventing
heart attacks and discovering the origin of galaxies.
NVIDIA GPUs have been broadly adopted in deep learning, a branch of
the longstanding field of artificial intelligence. Deep learning has recently
been ignited by three converging trends: the flood of data brought by web
service companies; recent algorithm breakthroughs, created by some
of the brightest minds in computer science; and the ability to compute
massive amounts of data with GPUs.
GPU-powered machines are used to deliver applications that make
interacting with computers magical. It’s nothing short of miraculous that
you can ask your phone a question and instantly receive a spoken response.
Speech recognition is just one application. Recognizing images is another.
And they are just the tip of the iceberg.
> The U.S. Department of Energy selected NVIDIA to power what
are expected to be the world’s fastest supercomputers when they come
online at the Oak Ridge and Lawrence Livermore National Labs.
> GPU computing is taught in nearly 800 universities. More than
60,000 GPU-related research papers have been published to date.
> Some of the world’s largest and most innovative companies are using
GPUs for deep learning applications, including Adobe, Alibaba, Baidu,
Facebook, Flickr Yahoo!, Google, IBM, Microsoft, Nuance, and Twitter.
Our GPUs are enabling
computers to outperform humans
at image recognition in the
ImageNet Challenge, the World
Cup of deep learning.
20142013201220112010
Accuracy %
NVIDIA GPUs
IMAGENET CHALLENGE
CV
DNN
72%
84%
74%