announcing the nvidia tesla p100 gpu for pcie servers

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WORLD’S MOST ADVANCED DATA CENTER GPU FOR HPC

AI: THE NEXT BIG THING FOR HPC

NVIDIA DEEP LEARNING SOFTWARE UPDATES

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A NEW COMPUTING MODELSomething Big That Will Change the Landscape of HPC

Deep Learning Object DetectionDNN + Data + HPC

Traditional Computer VisionExperts + Time

Deep Learning Achieves “Superhuman” Results

0%10%20%30%40%50%60%70%80%90%

100%

2009 2010 2011 2012 2013 2014 2015 2016

Traditional CVDeep Learning

ImageNet

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DEEP LEARNING FUELING SCIENCE

Classify Satellite Images for Carbon Monitoring

Analyze Obituaries on the Web for Cancer-related Discoveries

Determine Drug Treatments to Increase Child’s Chance of Survival

NASA AMES

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ISC KEYNOTE: HPC AND AI

“Investments in computer systems — and I think the bleeding-edge of AI, and deep learning specifically, is shifting to HPC — can cut down the time to run an experiment, and therefore go around the circle, from a week to a day and sometimes even faster.”

— Andrew Ng, Baidu

“…deep learning and cognitively enabled applications are driving large-scale high-performance computing (HPC) projects that are heavier on GPUs. IDC expects major advances and potential large build-outs…”

— IDC

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K40 K80 + cuDNN1

M40 + cuDNN4

P100 + cuDNN5

0x

10x

20x

30x

40x

50x

60x

70x

BLISTERING PACE

OF INNOVATION

FOR DEEP LEARNING

AlexNet training throughput based on 20 iterations, CPU: 1x E5-2680v3 12 Core 2.5GHz. 128GB System Memory, Ubuntu 14.04

M40 bar: 8x M40 GPUs in a nodeP100: 8x P100 NVLink-enabled

Deep Learning Training PerformanceCaffe AlexNet

2013 2014 2015 2016

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WORLD’S MOST ADVANCED DATA CENTER GPU FOR HPC

AI: THE NEXT BIG THING FOR HPC

NVIDIA DEEP LEARNING SOFTWARE UPDATES

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NVIDIA DEEP LEARNING SDKHigh performance GPU-acceleration for deep learning

“We are amazed by the steady stream of improvements made to the NVIDIA Deep Learning SDK and the speedups that they deliver”

— Frédéric Bastien, Team Lead (Theano) MILAdeveloper.nvidia.com/deep-learning-software

Powerful tools and libraries for designing and deploying GPU-accelerated deep learning applications

High performance building blocks for training deep neural networks on NVIDIA GPUs

Accelerated linear algebra subroutines for developing novel deep learning algorithms

Multi-GPU scaling that accelerates training on up to eight GPU

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Powering the Deep Learning EcosystemNVIDIA SDK Accelerates Every Major Framework

developer.nvidia.com/deep-learning-software

DEEP LEARNING FRAMEWORKS

COMPUTER VISION SPEECH AND AUDIO NATURAL LANGUAGE PROCESSINGObject Detection Voice Recognition Language Translation

Recommendation Engines Sentiment Analysis

Mocha.jl

Image Classification

NVIDIA DEEP LEARNING SDK

NCCLcuDNN cuBLAS GIEcuSPARSE

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cuDNN 5.1GIEDIGITS 4

WHAT’S NEW IN DEEP LEARNING SOFTWARE

Objection Detection High performance deep learning inference

AUTOMOTIVE

DATA CENTER

EMBEDDED

Improved performance for VGG, ResNet style networks

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NVIDIA DEEP LEARNING SOFTWARE PLATFORM

AUTOMOTIVE

DATA CENTER

EMBEDDED

NVIDIA DEEP LEARNING SDK

DEVELOP WITH DIGITS DEPLOY WITH GIE

TRAINED NETWORK

TRAININGDATA

TRAINING

DATA MANAGEMENT

MODEL ASSESSMENT

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OBJECT DETECTIONNew in DIGITS 4

ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS)

REMOTE SENSING

MEDICAL DIAGNOSTICS

INTELLIGENT VIDEO ANALYTICS

developer.nvidia.com/digits

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GPU INFERENCE ENGINE (GIE)High-performance deep learning inference for production deployment

developer.nvidia.com/gie

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CPU-Only Tesla M4 + GIE

Up to 16x More Inference Perf/Watt

EMBEDDED

Jetson TX1

DATA CENTER

Tesla M4

AUTOMOTIVE

Drive PX

Batch Sizes

GoogLenet, CPU-only vs Tesla M4 + GIE on Single-socket Haswell E5-2698 v3@2.3GHz with HT

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