METROPOLIS PARTNER PROGRAM

Paul Phillips | NVIDIA | IBD – Deep Learning and AI, ANZ

Anshu Bhaskar | XENON

03 May 2018

AI SUMMIT:ACCELERATE YOUR PATH TO AI ENTERPRISE WITH GPUS

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GE Revolution —The GPU choice when it really matters

The processor of #1 U.S. supercomputer and 9 of 10 of world’s most energy-efficient supercomputers

DGX-1: World’s 1st Deep Learning Supercomputer —The deep learning platform for AI researchers worldwide

100M NVIDIA GeForce Gamers —The world’s largest gaming platform

Pioneering AI computing for self-driving cars

NVIDIA

Pioneered GPU Computing | Founded 1993 | $9.0B | 12,000 Employees

The visualization platform of every car company and movie studio

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RISE OF NVIDIA GPU COMPUTING

The Big Bang of Deep Learning1980 1990 2000 2010 2020

40 Years of CPU Trend Data

Original data up to the year 2010 collected and plotted by M. Horowitz, F. Labonte, O. Shacham,

K. Olukotun, L. Hammond, and C. Batten New plot and data collected for 2010-2015 by K. Rupp

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1.5X per year

1.1X per year

Single-threaded perf

GPU-Accelerated

Computing

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NVIDIA AI PLATFORM

NVIDIA GPU Cloud NVIDIA AI Inference Quadro GV100Every Cloud

Every Computer Maker

Tesla V100, P4, P40,

P100

DGX-1, DGX-2 and

DGX Station

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TRADITIONAL HPC CLUSTER

600 Dual-CPU Servers

360 kW

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NVIDIA TESLA V100BIG SAVINGS

30 Quad-GPU Servers

48 kW

1/5 the Cost 1/7 the Space 1/7 the Power

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NVIDIA DGX-2 FOR DEEP LEARNING

1 DGX-2

Big Savings for Deep Learning

10 kW

1/8 the Cost

1/60 the Space

1/18 the Power

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INTELLIGENT VIDEO ANALYTICSFOR DETECTION, TRACKING, & CLASSIFICATION

Scene Parsing Crowd Density Analysis

Crowd Tracking Search by FaceFace Recognition

License Recognition

Pedestrian Detection

People Counting

Face AlignmentFace Detection

Vehicle Model Recognition

Vehicle Detection

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FRAUD DETECTION

AI IN A CALL CENTRE

FSI DECISION MAKING

CYBER SECURITY

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NVIDIADEEP LEARNING INSTITUTE

DLI Mission: Helping the world to solve the most challenging problems using AI and deep learning.

We help developers, data scientists and engineers to get started in training, optimizing, and deploying neural networks to solve real-world problems in diverse disciplines such as self-driving cars, healthcare, consumer services and robotics.

Overview

© 2018 XENON Systems Pty Ltd. All rights reserved.

WHO IS XENON?

Introduced GPU computing into Australia in 2008

• NVIDIA Elite Solution Provider

• NVIDIA Preferred Deep Learning Partner

• NVIDIA Tesla Preferred Partner program member

• NVIDIA PartnerForce program member

• NVIDIA DGX-1 partner in Australia

Over a decade of experience in delivering GPU solutions

© 2018 XENON Systems Pty Ltd. All rights reserved.

HOW XENON CAN ASSIST YOUR AI JOURNEY?

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Your AI Journey

XENON DevCube NVIDIA DGX

Station

NVIDIA DGX-1 AIRINVIDIA DGX-2 XENON Customised

DL/AI Solutions

MatureBeginner

Hardware

• 4x GTX 1080 GPU• 64GB RAM• 9TB HDD• 720GB SSD• 7 TFLOPS

• 4x Tesla V100 GPU• 256GB RAM• 2,560 Tensor Cores• 20,480 CUDA Cores• 500 TFLOPS

• 8x Tesla V100 GPU• 512GB RAM• 5,120 Tensor Cores• 40,960 CUDA Cores• 1 PFLOP

• 16x Tesla V100 GPU• 1,500GB RAM• 10,240 Tensor Cores• 81,920 CUDA Cores• 2 PFLOPS

• 4x NVIDIA DGX-1• 15x 17TB Blades• 1.5M IOPS• 2x 100GbE switches• 4 PFLOPS

• Supercomputer and Cluster Systems, Hardware, Software, Services, Integration customised for you

Kinetica

GPU accelerated, in-memory, insight engine

for Extreme Data Economy – Streaming and

Data-at-rest

Mineset

Predictive Analytics with integrated Machine

Learning & Visualisation

Software ML/DL/AI Training Workshops

Periodical or Tailored to your team’s

requirements

Consulting

Integration, software development, hardware

infrastructure

Professional Services

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THANK YOU