Get the Best out of NVIDIA GPUs for 3D Design and Engineering in the Cloud

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[email protected]

CTO & Co-founder

Get the Best out of NVIDIA GPUs for

3D Design and Engineering in the

Cloud

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About NICE

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Company

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Focus on technical computing since 1996

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Partners all around the world

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Always profitable and self-funded

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Expertise

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Industry veterans in HPC Private and Public Cloud solutions

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Core business: Access to Grid / HPC / Cloud solutions

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Work, visualize, and collaborate in HPC

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Technical Applications in the Cloud

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Collaboration

PC Linux WS Job submission

HPC

3D Visualization

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The Virtual Workstation User Experience

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Our partners

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About NICE Desktop Cloud Visualization

 Real time collaboration with independent bandwidth control

 Multi-monitor support, tested for 4K

 Remote USB support, Smartcard support

 Supports multiple HyperVisors, including GPU pass-through and vGPU solutions

 Full Linux and Windows session management via EnginFrame Views

3D Apps Engineers and Designers Thin viewer Virtual Workstation Server(s) DCV protocol over LAN or WAN

 Remote desktop streaming protocol with optimized 3D management, leveraging NVENC H.264

 Direct X and OpenGL support

 Broad OS and device support

‒ Server: Windows 7, 2008, RHEL, SUSE, CentOS

‒ Client: Windows, Linux, OS X, iOS, Android, Web client

 Dynamic Bandwidth optimization balancing quality Vs.

frame rate, with lossless quality updates

 Encrypted communication Dynamic Quality Controls Transfer Pixels, not Data! Storage

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DCV is the first technology to leverage the specialized H.264

hardware encoder on NVIDIA Kepler cards!

Test setup: 1600x1200, 50% quality, 25 fps cap, G2 instance on AWS

H.264 powers both Linux and Windows remote graphics!

NVENC Accelerated H.264 Results

Codec

JPEG

H264

BW

~5 MB/s

~1 MB/s

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Linux & Windows 3D sessions

Our architecture

Collaborators, Support staff Self-Service Offering End Users Thin viewer Resources Access Visualization Servers HTTP(S) HP C s c hd ul ers _{HPC jobs} Command-line Developers, Integrators SOAP

Remote 3D desktop protocol

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Hypervisor with vGPU support Windows VM-1 vGPU Linux VM-2 GPU pass-through Windows VM-n vGPU DCV DCV DCV

Server equipped with

NVIDIA GRID K1/K2

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Clients can run Linux, Windows or Mac OS/X

Standard TCP/IP network

Dynamic compression

Encrypted communication

Application in the VM run with native NVIDIA driver

GPU memory is split between users

All other resources are shared

GRID K2 recommended for CAD / CAE / Technical Viz.

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RHEL / CentOS / SuSE with DCV Rendering Server Linux VDesktop-1 DCV Library Linux VDesktop-2 DCV Library Windows KVM-n DCV Library DCV DCV DCV

System equipped with

NVIDIA Quadro/Tesla

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Clients can run Linux, Windows or Mac OS/X

Standard TCP/IP network

Dynamic compression

Encrypted communication

Windows application in the VM using DCV driver

Linux applications running in Virtual Desktops

All resources are shared

HPC schedulers support

Kepler cards recommended for GPGPU performance

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Technical Computing in the Public Cloud

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ANSYS: Regional HPC and Pre-post processing

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Problem

 Scattered HPC facilities  Widely distributed users

 Large modes / mesh travelling over WAN

 Customer demand for centralization solutions

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Solution

 NICE DCV multi-platform  NICE EnginFrame

 Single visualization & HPC cluster refresh

 Certification of DCV for ANSYS main products

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Benefits

 Regional data/app consolidation  Minimize WAN data transfers  Home working over VPN

 Standardized support for customer solutions

 Improved support quality  Public Cloud foundation

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Leveraging the Public Cloud for product testing

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AWS currently offers G2 instances

 Graphics oriented, but low memory

 1500+ GPU cores

 NVIDIA GRID powered

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AWS Test Drive at a glance

 Visible in AWS Test Drive site:

http://aws.amazon.com/testdrive/hpc/

 Completely self-service for end user

 Leveraged DCV external rendering to

overcome memory limitations

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Large Memory Vs. GPU? Why not both?

14 End User Thin viewer DCV protocol over HTTP(S) DCV Proxy R3 G2 Grap h ics w orkl oa d

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Major EU Automotive: CAE consolidation

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Problem

 Growing CAE data

 Large distributed user base

 Memory and bandwidth shortage on workstations

 Decreasing engineer productivity

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Solution

 NICE DCV on Linux  NICE EnginFrame

 High-end, large memory CAE resources

 Smart sharing policies

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Benefits

 Greatly improved speed to access data

 No memory bottleneck  Better productivity and

responsiveness

 Thin clients, BYOD ready

 Savings on workstation upgrade or refresh

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NORDAM: Catia on Demand

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Problem

 As a Tier 1 OEM supplier,

needs to match customers’

Catia revisions and SP’s

 Difficult on a workstation

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Benefits

 Allows me to easily upgrade,

and test Service Packs

 OS is not tied to physical

hardware, allows for greater

flexibility

 Thin / remote client ready

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Solution

 NICE DCV & EnginFrame

 XenServer w/ vGPU support

 NVIDIA GRID K2

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ENI: Global E&P Cloud

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Problem

 WW distributed operations

 Experts at HQ or tavelling, many

users at subsidiaries

 Very large models can’t be moved or

synchronized

 Variable WAN latency

 Linux and Windows apps

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Solution

 NICE DCV & HP RGS

 NICE EnginFrame

 Multiple hubs with 3D and HPC

resources

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Benefits

 Regional data/app consolidation

 Workstation-less services

 Full performance and mobility

 Regulatory compliance for data

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Thank you!

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