Your World is Hybrid: Support All the GPU-Accelerated VDI and Virtual Application Delivery Use Cases

One Platform: HPE Synergy

Cristian Cojocaru, Solutions Architect

VDI and remote graphics evolution

Complex design & visualization

– Support high-end design, CAD and geophysical analysis users.

– Typically support 16 or more design users for each Compute + Expansion Module

– Typically support up to six geophysical analysis users for each Compute + Expansion Module with dedicated GPUs

– Support up to 96 users per 10 rack units

Client / server and business applications

– Support hundreds of general knowledge and task workers per Compute + Expansion Module

– Over 100 VDI sessions with accelerated virtualized graphics

– Over 200 virtualized application users with accelerated graphics

– Support over 2,000 VDI users per 10 rack units without GPU acceleration

2

High Performance High Density

HPE Synergy ProLiant SY 480 Graphics Workstation Server

– Blade-based workstation server

– Mezz-based GPU options – field upgrade SY 480

– Two expansion options: Multi MXM and PCIe – FIO upgrade to the SY 480

– Very high compute module densities for:

– High-end CAD: 12 – 24 users with 4 and 2 GB frame buffers / module

– Commodity GPU accelerated VDI up 128 users / module

– Virtual application delivery (XenApp) up to 140+ users / module

Key Synergy graphics workstation

– Highest GPU density available anywhere – up to 42 Tesla or Quadro GPUS per Synergy 10 U Frame

– Deployment flexibility – Mezz MXM, high density MXM and PCIe options

– Bare metal, virtualized CPU or virtualized CPU and GPU

– Field upgradable

– More flexible power or cooling limitations:

– Two -- 300 watt PCIe or seven – 100 watt MXM GPUs

– Unmatched hardware management and configuration

– Fluid resource pools

– Software defined intelligence

– Integrated Restful API

– Repurpose GPUs from display to compute mode on the fly programmatically

4

HPE Synergy Gen10 graphics optionsFull range of graphics performance & functionality

VDI acceleratorFullsize 3DMezzanine 3D

NVIDIA Tesla M6

AMD FirePro S7100X

NVIDIA Tesla M60 PCIe

HPE Multi MXM Tesla M6

HPE Multi MXM S7100X

planshipping

NVIDIA Quadro M3000SE

HPE Multi MXM M3000SE

1. Support for Haswell based platforms only

NVIDIA Tesla M10 PCIe

NVIDIA Quadro P6000

The increased need for GPUs in everyday application delivery

– 3D visualization applications have always required GPUs– CAD– Geophysical analysis– Visual simulation – Dassault Solidworks and Siemens

NX

– From Windows XP to Windows 7 common office applications did not require GPUs– Graphics Device rasterized worked just fine on an

Intel CPU.– Windows 10, Office 2013 & 2016 and Server 2012

R2 & 2016 more than doubles DirectX use– 10% to 15% reduction in scalability – Huge user experience improvement

+

Professional remote graphics workstations with HP Thin Clients

– High performance thin client

– Perfect for 3D CAD & geophysical analysis

– MS Windows 10 IoT Enterprise

– Supports four UHD 4K monitors

– Supports VMware Horizon View, Citrix & RDP

7

Composable GPUs?Customers are interested in using GPUs to simulate their data– GPUs perform complex calculations like simulation up to

20X faster than CPUs

– Massivley parallel, multi-core GPUs --- thousands of cores

– GPUs are more expensive than CPUs

– With Synergy, GPUs can be multi-tasked for more than visualization… adding simulation at night

Design and visualization by daySimulation and design validation at night

8

Using OneView and Synergy Composer / Streamer to enhance compute efficiency– GPUs are being adopted for simulation in addition to

display– Example: Auto manufacturers are simulating crash tests in

their designs long before they actually crash prototypes into concrete walls

– Lots of simulation examples – fluid modeling, corrosion modeling, etc.

– Several customers have the requirement to utilize their GPUs above 35%

– Two options:– Follow the sun with global design / engineering from the data

center– Use the GPU for design during the day and simulation at night

– Increases compute efficiency to over 70%

– OneView’s northbound and southbound APIs can facilitate repurposing GPUs on the fly

Display /Visualization

GPUCompute

Daytime

Night