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Deep Learning Everywhere, for Everyone
NVIDIA GPU CLOUD
Current DIY deep learning
environments are complex and
time consuming to build, test
and maintain
Development of frameworks by
the community is moving very
quickly
Requires high level of expertise
to manage driver, library,
framework dependencies
NVIDIA Libraries
NVIDIA Docker
NVIDIA Driver
NVIDIA GPU
Open Source
Frameworks
CHALLENGES WITH DEEP LEARNING
Innovate in minutes
Removes all the DIY complexity
Deep learning across platforms
Runs locally on DGX or on AWS
Always up to date
Monthly releases for maximum
performance
Deep Learning Everywhere, For Everyone
NVIDIA GPU CLOUD (NGC)
Simplify deployment of
GPU-accelerated applications
Isolate individual frameworks
or applications
Share, collaborate,
and test applications across
different environments
4
INNOVATE IN MINUTES
LEARN MORE
TITAN X
Available via retail in
200+ countries
DGX-1
The appliance for instant
productivity
TESLA
Servers in every shape and size
CLOUD
Everywhere
NGC IS A HYBRID CLOUD STRATEGY
TF Tuned SW
NVIDIA Docker
CNTK Tuned SW
NVIDIA Docker
Caffe2 Tuned SW
NVIDIA Docker
PyTorch Tuned SW
NVIDIA Docker
CUDA RTCUDA RTCUDA RTCUDA RT
Linux Kernel + CUDA Driver
Tuned SW
NVIDIA Docker
CUDA RT
Other
Frameworks
and Apps. . .
Monthly Framework Releases with
NVIDIA Optimizations
ALWAYS UP TO DATE
DOWNLOAD TECHNICAL OVERVIEW
Greater than 10x
Performance on
Volta vs K80
0
2
4
6
8
10
12
K80 V100 TC
GPU Generational Training Scaling
ResNet-152 Training, 8x K80 (16 GPUs total) compared with 8x V100 NVLink GPUs using NVIDIA 17.10 containers
MAXIMIZING PERFORMANCE ON VOLTA
NGC container
registry now available
for 1 to 8 Volta GPUs
on Amazon EC2
NVIDIA Volta Deep
Learning AMI on AWS
Marketplace
AVAILABLE NOW WITH VOLTA ON AWS
Pull containerDeploy imageSign up
To get an NGC account, go to:
ngc.nvidia.com
Pick your desired
framework (TensorFlow,
PyTorch, MXNet, etc.),
and pull the container
into your P3 instance
On Amazon EC2, choose a
P3 instance and deploy
the NVIDIA Volta Deep
Learning AMI for NGC
GETTING STARTED
NVIDIA GPU CLOUD FOR DEEP LEARNING
Innovate In
Minutes
Deep Learning
Across
Platforms
Always Up
To Date
To learn more, watch a getting
started video and download the NGC
Deep Learning Technical Overview at:
nvidia.com/cloud
To sign up for an account at no
charge, go to:
ngc.nvidia.com
Sign Up and Start a Deep Learning Job in Minutes
GET STARTED NOW WITH NGC

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NVIDIA GPU CLOUD - Deep Learning Everywhere

  • 1. Deep Learning Everywhere, for Everyone NVIDIA GPU CLOUD
  • 2. Current DIY deep learning environments are complex and time consuming to build, test and maintain Development of frameworks by the community is moving very quickly Requires high level of expertise to manage driver, library, framework dependencies NVIDIA Libraries NVIDIA Docker NVIDIA Driver NVIDIA GPU Open Source Frameworks CHALLENGES WITH DEEP LEARNING
  • 3. Innovate in minutes Removes all the DIY complexity Deep learning across platforms Runs locally on DGX or on AWS Always up to date Monthly releases for maximum performance Deep Learning Everywhere, For Everyone NVIDIA GPU CLOUD (NGC)
  • 4. Simplify deployment of GPU-accelerated applications Isolate individual frameworks or applications Share, collaborate, and test applications across different environments 4 INNOVATE IN MINUTES LEARN MORE
  • 5. TITAN X Available via retail in 200+ countries DGX-1 The appliance for instant productivity TESLA Servers in every shape and size CLOUD Everywhere NGC IS A HYBRID CLOUD STRATEGY
  • 6. TF Tuned SW NVIDIA Docker CNTK Tuned SW NVIDIA Docker Caffe2 Tuned SW NVIDIA Docker PyTorch Tuned SW NVIDIA Docker CUDA RTCUDA RTCUDA RTCUDA RT Linux Kernel + CUDA Driver Tuned SW NVIDIA Docker CUDA RT Other Frameworks and Apps. . . Monthly Framework Releases with NVIDIA Optimizations ALWAYS UP TO DATE DOWNLOAD TECHNICAL OVERVIEW
  • 7. Greater than 10x Performance on Volta vs K80 0 2 4 6 8 10 12 K80 V100 TC GPU Generational Training Scaling ResNet-152 Training, 8x K80 (16 GPUs total) compared with 8x V100 NVLink GPUs using NVIDIA 17.10 containers MAXIMIZING PERFORMANCE ON VOLTA
  • 8. NGC container registry now available for 1 to 8 Volta GPUs on Amazon EC2 NVIDIA Volta Deep Learning AMI on AWS Marketplace AVAILABLE NOW WITH VOLTA ON AWS
  • 9. Pull containerDeploy imageSign up To get an NGC account, go to: ngc.nvidia.com Pick your desired framework (TensorFlow, PyTorch, MXNet, etc.), and pull the container into your P3 instance On Amazon EC2, choose a P3 instance and deploy the NVIDIA Volta Deep Learning AMI for NGC GETTING STARTED
  • 10. NVIDIA GPU CLOUD FOR DEEP LEARNING Innovate In Minutes Deep Learning Across Platforms Always Up To Date
  • 11. To learn more, watch a getting started video and download the NGC Deep Learning Technical Overview at: nvidia.com/cloud To sign up for an account at no charge, go to: ngc.nvidia.com Sign Up and Start a Deep Learning Job in Minutes GET STARTED NOW WITH NGC