sizing esx for rich graphics user

April 4-7, 2016 | Silicon Valley
S6385 - WHAT IS CLOUD AND
WHAT CAN IT DO FOR YOUR
DESKTOP WORKLOADS
Matt Coppinger Director, Technical Marketing, End User Computing, VMware
Stephane Asselin Senior EUC Architect, Technical Marketing, End User Computing, VMware
Jeff Weiss GRID Solutions Architect Manager, NVIDIA
Why GPU in the Cloud?
Key technologies for GPU in the Cloud
AGENDA
Performance & Sizing Best Practices
Deployment Quick Start
Summary
Resources & Next Steps
2
Why GPU in the Cloud?
Key technologies for GPU in the Cloud
AGENDA
Performance & Sizing Best Practices
Deployment Quick Start
Summary
Resources & Next Steps
3
MAJOR MARKETPLACE DEMAND FOR
CLOUD-BASED WORKSTATIONS
More distributed
than ever
Large datasets
are harder to
share
Contractors need
revocable access
Data leakage &
corporate
security
4
4
TRYGRID DEMO
5
DESKTOP, APP + GPU VIRTUALIZATION
ENABLES CLOUD-BASED WORKSTATIONS
IT Manages Centralized Virtual Desktops
Security &
Compliance
+
Highly Efficient
Remote Protocol
Anywhere
Access
Desktop
Virtualization with
Server-side
GPU
Business Agility
Improves the
Delivery of
Graphics
Mobile & BYOD
Access
OpEx Savings
Users Remotely Access from Various Devices
6
6
WHO BENEFITS THE MOST FROM GPU?
DESIGNER
POWER USER
KNOWLEDGE WORKER
TASK WORKER
Source: Gartner & NVIDIA 2012 Research
7
7
THE IMPORTANCE OF GPU
HIGH-PERFORMANCE GRAPHICS APPLICATIONS
Media
PLM & Volume Design
Engineering & Design
8
8
HIGH-PERFORMANCE GRAPHICS USE CASES
Image
Quality
Interactivity
Cost/Seat
2D / 3D
Oil & Gas
Diagnostics
Lightweight CAD
Architecture Design
Engineering
Media & Graphics
3D Viewers
GIS
WebGL
Productivity Apps with Graphics
Aero
Light Users
Fewer Applications
Task
Worker
Heavy Users
Many Applications
Knowledge Worker
Power User
Designer
9
9
DELIVERING A COMPLETE PORTFOLIO, FOR EVERY
Oil & Gas
WORKER, EVERY USE CASE
Architecture Design
Diagnostics
Lightweight CAD
Image
Quality
Interactivity
Cost/Seat
2D / 3D
Engineering
Media & Graphics vDGA
3D Viewers
GIS
WebGL
Productivity Apps with Graphics
Aero
Dedicated
Graphics
Acceleration
NVIDIA GRID VGPU
vSGA
Mediated Passthrough
Soft 3D Shared Graphics
Acceleration
Software 3D
Light Users
Fewer Applications
Task
Worker
Heavy Users
Many Applications
Knowledge Worker
Power User
Designer
10
1
VIRTUAL BATTLESPACE IN THE CLOUD
11
12
Why GPU in the Cloud?
Key technologies for GPU in the Cloud
AGENDA
Performance Best Practices and Results
Deployment Quick Start
Review of Cloud Desktop Components
Resources
13
KEY TECHNOLOGY: VMWARE HORIZON
Private Cloud infrastructure for delivering graphics rich desktops in
the GPU enabled datacenter
14
WHY CHOOSE VMWARE FOR
CLOUD-BASED WORKSTATIONS?
Market leading hypervisor
Proven, industry leading
platform, fully integrated endto-end solution
Supports huge range of use
cases
Deliver a superior experience
with state of the art protocols
Choice of GPU technologies
—vGPU, vDGA and others
15
1
VMWARE NVIDIA CLOUD ARCHITECTURE
Any
Device
Any
Application
Business Mobility: Applications | Devices | Content
vGPU
Traditional
Applications
Modern, Cloud
Applications
Cloud Management
HYBRID CLOUD
One
Cloud
PRIVATE
MANAGED
PUBLIC
Your
Data Center
vCloud Air
Network
vCloud Air
Virtualized Compute, Network, Storage
Build-Your-Own
Converged
Infrastructure
Hyper-Converged
Infrastructure
16
1
VMWARE HORIZON: CLOUD-BASED WORKSTATION
SOLUTION FOR ALL USE CASES
Virtual desktop and
app delivery
Desktop and app
delivery from public
cloud
Horizon 7
Horizon Air
APP
NEW
MAIN OFFICE
REMOTE OFFICE
POINT OF SALE
Simplifying App Management
NEW
DEVELOPERS
Horizon FLEX
Horizon App Management
NEW
DESIGNERS/
ENGINEERS
Secure containerized
desktops
NEW
MOBILE
NEW
NON-EMPLOYEE
17
1
PRIVATE CLOUD
VIRTUAL DESKTOP INFRASTRUCTURE
•
Physical server host(s)
•
Hypervisor Software
•
Virtual machine management software
•
Virtual desktop management system
•
Virtual desktop connection broker
•
Access and authentication systems
•
Display protocol
•
Application Delivery mechanisms
•
User Persona/Profile management
•
Clever “stuff” that simplifies it all for you….
18
1
HORIZON 7: FIRST-TO-MARKET INNOVATIONS TO
MAKE THE CLOUD A REALITY
Enterprise Scale & Security
Deployment
Options
GPU
Virtualization
Blast Extreme
Experience
App Lifecycle
Management
Smart Policies
CONFIDENTIAL
19
19
INTRODUCING BLAST EXTREME
- THE MOBILE CLOUD PROTOCOL
Broad Client Support:
H264 available in most devices
GRID Optimized:
Deliver more 3D users
Network Friendly:
TCP or UDP works in more places
Built for the Cloud:
Adapts better to lossy networks
Use Less Bandwidth:
Deliver better video to more users
Better Battery Life:
Optimized for mobile workers
20
2
VMWARE AND NVIDIA REFERENCE ARCHITECTURE
iOS
Android
Horizon Clients
HTTPS/PCoIP/Blast Extreme
DMZ (HTTPS/PCoIP/Blast)
PCoIP or Blast Extreme
ESX, vCenter, Horizon, SQL, AD traffic
Shared Storage
MacOS
Thin Client
Kiosk
Horizon Connection Servers
VMware Access Point
Identity Manager
NVIDIA
vCenter
Svr
Horizon Lic.
3D Virtual
Desktops
Horizon Virtual Desktops
App Volumes
File Print
Server
RADIUS
Server
SSD
PC
MS
SQL
Active
Directory
CAD/CAx
“Server”
SSD
3D DESKTOP CLUSTER
DESKTOP CLUSTER
View
Composer
vCenter Operations
Manager for Horizon
MANAGEMENT CLUSTER
Shared Storage (Optional)
21
KEY TECHNOLOGY: GPU VIRTUALISATION
How NVIDIA GRID is bringing GPU power to cloud based workstations
22
HOW DOES NVIDIA GRID WORK?
Virtual
Desktop
Virtual
Desktop
Virtual
Desktop
Virtual
Desktop
Virtual
Desktop
Virtualization Layer
Virtual
Desktop
Hardware
Hypervisor
CPUs
Server
23
HOW DOES NVIDIA GRID WORK?
Virtual
PC
Virtual
PC
Virtual
Workstation
Virtual
Workstation
Virtual
Workstation
NVIDIA Graphics
Driver
NVIDIA Graphics
Driver
NVIDIA Graphics
Driver
NVIDIA Quadro
Driver
NVIDIA Quadro
Driver
NVIDIA Quadro
Driver
vGPU
vGPU
vGPU
vGPU
vGPU
vGPU
Virtualization Layer
Virtual
PC
Hardware
Hypervisor
CPUs
Server
NVIDIA GRID vGPU manager
NVIDIA
GPU
NVIDIA
GPU
H.264 Encode
24
NVIDIA GRID PLATFORM
Centralized virtual graphics capabilities for the enterprise
Support, Updates & Maintenance
NVIDIA GRID Software
NVIDIA Tesla
(Datacenter GPU)
25
DESKTOPS & VIRTUAL APPS
Apps
NVIDIA GRID
Virtual PC
NVIDIA GRID
Virtual Workstation
NVIDIA GRID
Virtual Applications
26
GRID vGPU Architecture 101
A quick recap …
Hypervisor
GRID vGPU Manager
VM
Apps
NVIDIA driver
Tesla GPU
29
GRID vGPU Architecture 101
GPU engines
Hypervisor
VM
GRID vGPU Manager
Apps
NVIDIA driver
Graphics And Compute
Copy Engine
Video Encode
Video Decode
Tesla GPU
Framebuffer (FB)
Framebuffer
Graphics
Compute
Video
Encode
Video
Decode
Copy
Engine
30
GRID vGPU Architecture 101
GPU access
Hypervisor
VM
GRID vGPU Manager
Tesla GPU
Apps
NVIDIA driver
GPU Base Address Register
Virtual BAR
A “window” into the GPU
Used to access control
registers and framebuffer
All driver accesses to GPU
resources go through a BAR
Framebuffer
Graphics
Compute
Base Address Register (BAR)
Video
Encode
Video
Decode
Copy
Engine
We assign the VM a subset of
the GPU’s BAR – a virtual
BAR
31
GRID vGPU Architecture 101
Access protection
Hypervisor
VM
Page Table
GRID vGPU Manager
NVIDIA driver
CPU’s MMU
Tesla GPU
Apps
GPU Base Address Register
Translation
Virtual BAR
Access to BAR controlled by
CPU’s Memory Management
Unit (MMU)
Hypervisor creates MMU page
tables that allow VM to
access its Virtual BAR
Blocks access to locations
outside the Virtual BAR
Framebuffer
Graphics
Compute
Video
Encode
Video
Decode
Copy
Engine
32
GRID vGPU Architecture 101
Work posting
Hypervisor
VM
GRID vGPU Manager
Tesla GPU
Apps
NVIDIA driver
VMs post work to GPU via
channels
Each channel is a queue of
work from an app to the
GPU engines
GPU BAR
Each VM has dedicated
channels, exposed inside
VM’s Virtual BAR
Channels
Framebuffer
Graphics
Compute
Video
Encode
Video
Decode
Copy
Engine
33
vGPU Architecture 101
Scheduling
Hypervisor
VM
GRID vGPU Manager
Tesla GPU
Apps
NVIDIA driver
Engines sequentially
execute work, signal work
completions to NVIDIA
driver
GPU BAR
Channels
Scheduler
Framebuffer
Graphics
Compute
Video
Encode
Video
Decode
GPU’s hardware scheduler
places work from active
channels onto GPU engines
Scheduler immediately
loads engine with next
work item
Copy
Engine
34
GRID vGPU Architecture 101
Memory protection
Hypervisor
VM
GRID vGPU Manager
Sysmem resource
NVIDIA driver
All GPU engines access
memory
Each vGPU is assigned
fixed range of FB for its
exclusive use
Tesla GPU
GPU’s MMU manages all
engine accesses to FB and
system memory
Memory Management Unit (MMU)
Framebuffer
Graphics
Compute
Video
Encode
Video
Decode
Copy
Engine
Guest VM’s FB
Prevents engines accessing
outside of vGPU’s FB, or
the guest VM’s system
memory
35
GRID vGPU Architecture 101
Summary
• vGPU dedicated resources: virtual PCIe BAR, framebuffer, channels
• Guarantees uncontested access when posting work, accessing FB
• vGPU shared resources: Graphics/Compute, Video Encode/Decode, Copy Engines
• GPU engines are timeshared, execute in parallel
• GPU hardware scheduler places work on engines
• GPU MMU protects engine accesses to framebuffer and system memory
36
QUADRO: THE
CHOICE OF
PROFESSIONALS
Enables designers to bring
their visions to life
Quadro: 80%+ workstation share
Suite of algorithms incorporated
in major design tools
Source: IDC
37
QUADRO IN THE DATACENTER
NVIDIA GRID delivers Quadro features anywhere, on any device
Realistic Models
Performance Enhancements
Application Certification
Improved Productivity
38
Why GPU in the Cloud?
Key technologies for GPU in the Cloud
AGENDA
Performance & Sizing Best Practices
Deployment Quick Start
Summary
Resources & Next Steps
39
SIZING YOUR VMWARE INFRASTRUCTURE FOR
HIGH PERFORMANCE GRAPHICS
40
HIGH PERFORMANCE VIRTUAL DESKTOP IS
NOT YOUR AVERAGE VDI
Trade-offs
CPU
Memory
IOPS
Rich Graphics
Density
Trade-offs
41
4
SIZING ESX FOR RICH GRAPHICS USERS:
COMPUTE
VMware HCL & the NVIDIA GRID Certified
Server
—2 Display Adapters (onboard + GFX card)
—Virtual Technology for Directed I/O (VT-d)
—PCIe x16
Host CPU
—Heavy 3D applications are often monothreaded
—CPU frequency is more important than the
number of cores
• 3.1 Ghz
• 10 core
• 160W
—Workloads will still require multiple vCPUs
OS, Protocol, Improved memory performance
Multi threaded rendering applications
ESXi Host
42
4
SIZING ESX FOR RICH GRAPHICS USERS:
MEMORY
Host Memory
—Audit what your workstations use
today
—Highest frequency memory matters
—3D workloads likely require (per
user):
8GB (medium workload)
16GB (most common)
• 16 x 16GB
• 2133Mhz
64GB (heaviest workload)
ESXi Host
43
4
SIZING ESX FOR RICH GRAPHICS USER:
STORAGE
Storage will be the CRITICAL factor in
performance
CAD users >1TB of storage per desktop
SIZE and PERFORMANCE matter now
1,536
Virtual SAN – SSD based local storage
—Understand local storage capacity
All Flash based SAN / VSAN
44
4
SIZING ESX FOR RICH GRAPHICS USERS:
STORAGE
Modal Benchmark –
Physical vs. Virtual Environment
1444
0.02%
Difference
1483
15%
Difference
9181
10843
0
2000
4000
6000
8000
10000
Elapsed Time (in sec) Lower is better
Test Conditions
12000
Optimized (Non-Virtual)
Optimized (Virtual)
Non-Optimized (Physical)
Non-Optimized (Virtual)
Distributed
Solver
PCG Solver Modal Analysis
Number of Nodes
1340453
Number of Contact Elements
21763
Number of Solid Elements
833530
Number of Total Elements
862707
45
4
SIZING ESX FOR RICH GRAPHICS USERS:
GPU
GPU dictates interactive user experience –
rotation/scaling etc
GPU dictates performance when handling complex
models (no. of polygons)
GPU critical for high-performance graphics
NVIDIA GRID – most options for vSGA, vDGA and vGPU
Maximum 8 GPU cards per ESX host (2-4 typical)
GRID M6
GRID M60
Number of GPUs
1 x entry Maxwell GPUs
2 x Maxwell GPUs
Total NVIDIA CUDA cores
1536
4096
Total memory size
8 GB DDR3
16 GB GDDR5
Max users or vGPUs
16
32
Card Equivalent
Quadro
Quadro
46
4
SIZING ESX FOR RICH GRAPHICS USERS:
NVIDIA GRID VGPU
M60
Framebuffer
GRID
Virtual
Applications
512 MB
GRID
Virtual PC
GRID
Virtual Workstation
M60-0B
M60-1B
VMs per
GPU
VMs per
M60
M60-0Q
16
32
M60-1Q
8
16
1 GB
M60-1A
2 GB
M60-2A
M60-2Q
4
8
4 GB
M60-4A
M60-4Q
2
4
8 GB
M60-8A
M60-8Q
1
2


1
2
Pass-through 8GB
47
HOMOGENOUS VIRTUAL GPUS
Tesla M60
Physical GPU 1
Physical GPU 0
Valid configuration with K240Q vGPUs on GPU 0, K260Q vGPUs on GPU 1:
M60-2Q
M60-2Q
M60-2Q
M60-2Q
M60-4Q
M60-4Q
Valid configuration with K200 vGPUs on GPU 0, K240Q vGPUs on GPU 1:
M60
-1B
M60
-1B
M60
-1Q
M60
-1Q
M60
-1B
M60
-1B
M60
-1B
M60
-1B
M60-2Q
M60-2Q
M60-2Q
M60-2Q
Invalid configuration with mixed vGPU types on GPU 0:
M60-2Q
M60-2Q
M60-4Q
M60
-1Q
M60
-1Q
M60
-1Q
M60
-1Q
M60
-1Q
M60
-1Q
M60
-1Q
M60
-1Q
48
SIZING YOUR VIRTUAL DESKTOP FOR HIGH
PERFORMANCE GRAPHICS
49
4
SIZING FOR RICH GRAPHICS WORKLOADS –
VIRTUAL MACHINE
Virtual Machine
• Hardware v11
• VMXNET3 NIC
• vGPU
– Configure
Profile
• vDGA
– Enable Passthrough
vCPU
vRAM
• 2 vCPUs:
– 1 vCPU - OS
– 1 vCPU - PCoIP
• 4GB
– Power User/
Entry Level Eng
• Recommend at
least 4 vCPUs for
Power Users
• 8GB
– Mid Eng./Video
• 16GB
– Advanced Eng.
• 32GB
– CAD/CAM
OS
VMware OS
Optimization Tool
• vDGA
– 64bit Windows
• MASSIVE 40%
saving!
• vGPU
– 32/64 bit
Windows
• Download from
labs.vmware.com
• Install
– VM Tools
– View Agent
– NVIDIA driver
(vGPU)
• 64GB
– Digital Mock Up
50
5
VCPU IMPACT ON MEMORY PERFORMANCE
4 Cores - % Increase
Memory Performance Increase from 2 vCPU to 4 vCPU
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
VM - 2 Cores/16GB
vs
VM - 4 Cores/16GB
86%
44%
49%
0%
Read (in MB/s)
Write (in MB/s)
Copy (in MB/s)
Latency (in ns)
44%
49%
86%
0%
51
5
SIZING FOR RICH GRAPHICS USERS: NVIDIA
GRID VGPU RECOMMENDATIONS
Entry Level
Engineer/Reviewer
Mid Level
Engineer/Editor
Advanced Engineer
• M60-1Q
• M60-2Q
• M60-4Q
• 4 GB RAM
• 8 GB RAM
• 16 GB RAM
• 2 VCPUs (2.6 GHz)
• 2-4 VCPUs (3.1 GHz)
• 4-8 VCPUs (3.1 GHz)
• 1 GB video RAM
• 2 GB video RAM
• 4 GB video RAM
• 2 2560x1600
displays
• 4 2560x1600
displays
• 4 2560x1600
displays
• 4 x 4K displays
52
5
SIZING FOR RICH GRAPHICS USERS:
CLIENT DEVICE
3D and multimedia application can drive high FPS at
high resolution
GPU throughput uncompressed over 2 Gbps
Protocol optimization, compression and bandwidth
savings
—Only send pixels that change etc
Plan for 2-2.5 Mbps for CAD users (average)
Burst to 5-7 Mbps, can be higher in LAN scenarios
(20Mbps-200Mbps depending on hardware)
Client device must be capable of decoding PCoIP
throughput or H264 offload
—Tera2 client or suitable spec Client
—Check your device specifications
53
5
VMWARE BLAST EXTREME
ACCELERATION WITH NVIDIA GRID
55
CHALLENGES FOR VIRTUAL GRAPHICS
Professional graphics workloads require great user experience
UX
Require
“snappy”
experience
Rely on heavy
encoding and
decoding
User density is
limited by CPU
bottleneck
56
NVIDIA BLAST EXTREME ACCELERATION
Increased scalability and performance for graphics workloads
Up to
51ms
latency
reduction
Up to
89%
bandwidth
reduction
Up to
18%
increase
in density
Source: NVIDIA GRID Performance Engineering Lab
57
HOW IT WORKS TODAY: PCoIP
SERVER with GRID GPU
CPU
NIC
Encode
Render
CLIENT
IP
Network
Kybd/Mse
Decode
Render
Capture
GRID GPU WORKLOAD
NON GPU WORKLOAD
58
NVIDIA BLAST EXTREME ACCELERATION
SERVER with GRID GPU
CPU
NIC
Encode
Render
CLIENT
IP
Network
Kybd/Mse
Decode
Render
Capture
GRID GPU WORKLOAD
NON GPU WORKLOAD
59
NVIDIA BLAST EXTREME ACCELERATION
Apps
Apps
Apps
Remote Client
H.264 /
H.265
streams
Graphics
commands
GRID GPU
HW Encoder
3D
Context/Display Capture
Render
Target
Front
Buffer
• Reduces overall latency
• Offloads CPU workload to
GPU
• Increases scalability
• Improves user experience
• Lowers N/W bandwidth
demand
Framebuffer
60
NVIDIA BLAST EXTREME ACCELERATION IMPROVES
USER EXPERIENCE AND REDUCES TCO!
• Scalability
•
18% higher user density for ESRI ArcGIS Pro 1.1
• User Experience
•
6-13% higher average FPS
•
27-51ms less latency
•
48-89% bandwidth reduction with TCP and 19% with UDP
You don’t have to chose, you get all at the same time
Source: NVIDIA GRID Performance Engineering Lab
61
PERFORMANCE RESULTS
62
M60 OFFERS PERFORMANCE IMPROVEMENTS
NVIDIA GRID DASSAULT CATIA V5/V6 SCALABILITY GUIDE
35
Number of
Concurrent
users
on a single
server
30
25
20
15
10
5
0
Light Users
Fewer Applications
Task Worker
Aerospace
Manufacturing
32
32
 Production CATIA workloads
 Satellite offices, over WAN links
 GRID K2 GPUs and M60 GPUs
 Four different user
profiles
16
16
16
 Frame Rate Limiting (FRL) turned on
Results
8
 Doubled the number of users per host
 Observed a 70%
productivity improvement
Standard 2vCPU
Moderate 4vCPU
Power User 4vCPU
16GB
RAM proximity/transfer
32GB RAMtime savings64GB RAM
 File
1GB Frame Buffer
1GB Frame Buffer
1GB Frame Buffer
 / No
reported degradation
user / M60-1Q)
(K240Q
M60-1Q)
(K240Q / M60-1Q) to end (K240Q
K2
M60
Even LAN users reported 30% productivity gain
Knowledge Worker
Power User
** 2.6 GHz+ Intel Xeon
E5 v3 or greater
8
4
Analyst 4vCPU
128GB RAM
1GB Frame Buffer
(K240Q / M60-1Q)
Heavy Users
Many Applications
Designer
63
6
VIRTUAL BATTLESPACE RESULTS
64
4/4/2016
65
Why GPU in the Cloud?
Key technologies for GPU in the Cloud
AGENDA
Performance Best Practices and Results
Deployment Quick Start
Summary
Resources & Next Steps
66
GETTING STARTED
Key concepts to get you going
Deployment
Requirements
Install host
driver
Attach a vGPU
profile to a VM
Product
Activation Keys
(PAK)
The GPU Mode
Switch Utility
Install the
NVIDIA driver
into a VM
Download GRID
SW (host driver,
guest driver)
License server
creation,
installation and
management
Configure a VM
for a NVIDIA
GRID vGPU
license
67
DEPLOYMENT REQUIREMENTS
NVIDIA GRID enterprise software is designed to
run on select NVIDIA Tesla GPUs.
Ensure you have the following:
 NVIDIA GRID Certified Servers:
http://www.nvidia.com/object/grid-certifiedservers.html
 Required GPU hardware: Tesla M6 or M60
 A supported virtualization software stack
Read the release notes!
 Correct build numbers for the virtualization
software that have been tested for the
specific NVIDIA GRID Software release
 Other important version-specific information
Note: You will need to register first to get access to the release notes.
68
QUICK START GUIDE
Overview of concepts to get you going
Deployment
Requirements
Install host
driver
Attach a vGPU
profile to a VM
Product
Activation Keys
(PAK)
The GPU Mode
Switch Utility
Install the
NVIDIA driver
into a VM
Download GRID
SW (host driver,
guest driver)
License server
creation,
installation and
management
Configure a VM
for a NVIDIA
GRID vGPU
license
69
PRODUCT ACTIVATION KEYS (PAK)
Order email template
Email content for GRID SW Order:
• Product Activation Key (PAK) is
dynamically added to order fulfillment
email template
• Blue underlined content are links to
those destinations for registering,
logging in or support
• Enterprise support portal and email
address is provided for help
• Email generated from
nvidia@flexnetoperations.com (advise
on checking spam folders as needed)
Sample email
70
NVIDIA LICENSING PORTAL
Registration Page
• Customers will click on the Register or
Log in link within the order fulfillment
email to navigate to the NVIDIA
Licensing Portal
• First time customers will be required to
register their information
• A link to the Terms and Conditions is
provided (End User License Agreement)
• Customers must accept the terms and
conditions to download licenses and
software
• Returning customers will not have to reregister but can login to their account
71
QUICK START GUIDE
Key concepts to get you going
Deployment
Requirements
Install host
driver
Attach a vGPU
profile to a VM
Product
Activation Keys
(PAK)
The GPU Mode
Switch Utility
Install the
NVIDIA driver
into a VM
Download GRID
SW (host driver,
guest driver)
License server
creation,
installation and
management
Configure a VM
for a NVIDIA
GRID vGPU
license
72
DOWNLOAD GRID SOFTWARE
The Product Download Page contains…
NVIDIA GRID Software: Select based on the
hypervisor brand and version you will run. NVIDIA
GRID vGPU supports versions of VMware vSphere
ESXi and Citrix XenServer
GPU mode change utility: The Tesla M60/M6
boards are shipped in Compute Mode. NVIDIA GRID
vGPU requires Graphics Mode. The GPU mode
change utility is used to switch modes.
NVIDIA License Manager Software: Enables Guest
OS to utilize the NVIDIA GRID vGPU profiles by
checking out a license at boot time
All downloads are in .zip format and contain
release notes and user guides along with the
software.
73
QUICK START GUIDE
Key concepts to get you going
Deployment
Requirements
Install host
driver
Attach a vGPU
profile to a VM
Product
Activation Keys
(PAK)
The GPU Mode
Switch Utility
Install the
NVIDIA driver
into a VM
Download GRID
SW (host driver,
guest driver)
License server
creation,
installation and
management
Configure a VM
for a NVIDIA
GRID vGPU
license
74
THE NVIDIA GRID LICENSE SERVER
UX
NVIDIA GRID vGPU profiles are licensed
features on NVIDIA Tesla GPUs
• Licenses generated and retrieved from
NVIDIA’s Licensing Portal
• Installed onsite, enables NVIDIA GRID
licensed products
• Manages a pool of floating licenses
• License acquired during boot time of the
Guest OS
• The license returned when the Guest OS
shuts down
Use for license
management
Enable more use
cases
Don’t impact work
75
QUICK START GUIDE
Key concepts to get you going
Deployment
Requirements
Install host
driver
Attach a vGPU
profile to a VM
Product
Activation Keys
(PAK)
The GPU Mode
Switch Utility
Install the
NVIDIA driver
into a VM
Download GRID
SW (host driver,
guest driver)
License server
creation,
installation and
management
Configure a VM
for a NVIDIA
GRID vGPU
license
77
MODE SWITCHING
Tesla M60
Tesla M6
Compute Mode
Graphics Mode
Shipped in this mode
Required for NVIDIA GRID
gpumodeswitch
Bootable Linux or Windows
Temporarily boot Linux on the server to change mode; the
gpumodeswitch release package includes bootable Linux images
for this purpose
78
GPUMODESWITCH EXAMPLE
List the current mode of
all GPUs use -listgpumodes
Switch a GPU’s mode
use
--gpumode graphics
--gpumode compute
After a GPU mode
switch, the server is
rebooted to ensure that
the modified resources
are correctly accounted
for by the OS or
hypervisor
79
QUICK START GUIDE
Key concepts to get you going
Deployment
Requirements
Install host
driver
Attach a vGPU
profile to a VM
Product
Activation Keys
(PAK)
The GPU Mode
Switch Utility
Install the
NVIDIA driver
into a VM
Download GRID
SW (host driver,
guest driver)
License server
creation,
installation and
management
Configure a VM
for a NVIDIA
GRID vGPU
license
80
NVIDIA GRID WITH CONFIGURATION PROCESS
• Install NVIDIA GRID
software into ESXi
Hypervisor
• Build a Gold Master
VM Image with NVIDIA
GRID vGPU Profile
• Install NVIDIA Windows
Driver into Gold
Master Image
• Configure vGPU
enabled VM pools in
Horizon Environment
For more details consult the GRID Deployment Guide and additional online training
81
INSTALLING AND TESTING VIB
$ esxcli system maintenanceMode set –e true
$ esxcli software vib install -v /store/NVIDIA.vib
$ reboot
Installation Result:
Message: Operation finished successfully. Reboot Required: false
VIBs Installed: NVIDIA_bootbank_NVIDIA-vgxVMware_vSphere_6_Host_Driver_346.27-1OEM.600.0.0.2159203
VIBs Removed:
VIBs Skipped:
$ esxcli system maintenanceMode set –e false
$ esxcli software vib list | grep -i nvidia
$ nvidia-smi
NVIDIA CONFIDENTIAL. DO NOT DISTRIBUTE.
82
WINDOWS VM: VGPU ASSIGNMENT
 In vCenter, edit VM settings, add “Shared PCI Device”, then select “Add”
 Select GPU profile, then select “OK”
 Start VM
83
NVIDIA DRIVER INSTALL
84
HORIZON POOL CREATION
85
QUICK START GUIDE
Key concepts to get you going
Deployment
Requirements
Install host
driver
Attach a vGPU
profile to a VM
Product
Activation Keys
(PAK)
The GPU Mode
Switch Utility
Install the
NVIDIA driver
into a VM
Download GRID
SW (host driver,
guest driver)
License server
creation,
installation and
management
Configure a VM
for a NVIDIA
GRID vGPU
license
86
CONFIGURE NVIDIA GRID VGPU LICENSE
Enables a VM access to an NVIDIA GRID vGPU
Configure the Manage License Feature in the
NVIDIA Control Panel
• Enter the license server address and port
•
These settings can be preloaded through
register keys.
•
The license settings will persist across
reboots.
•
A license is obtained prior to the user
logging into the VM.
87
April 4-7, 2016 | Silicon Valley
L6117 - NVIDIA GRID DEPLOYMENT
HANDS ON LAB
Room 210C 4/7/2016 13:00 - 16:00
Why GPU in the Cloud?
Key technologies for GPU in the Cloud
AGENDA
Performance Best Practices and Results
Deployment Quick Start
Summary
Resources & Next Steps
89
VMWARE HORIZON:
DESKTOP TRANSFORMATION SOLUTION FOR EVERY USER
Virtual desktop and
app delivery
Desktop and app
delivery from public
cloud
Horizon 7
Horizon Air
APP
NEW
MAIN OFFICE
REMOTE OFFICE
POINT OF SALE
Simplifying App Management
NEW
DEVELOPERS
Horizon FLEX
Horizon App Management
NEW
DESIGNERS/
ENGINEERS
Secure containerized
desktops
NEW
MOBILE
NEW
NON-EMPLOYEE
90
9
NVIDIA GRID PLATFORM
Centralized virtual graphics capabilities for the enterprise
Support, Updates & Maintenance
NVIDIA GRID Software
NVIDIA Tesla
(Datacenter GPU)
91
“
“
Streamlined end
user access and
supplier
connectivity
When I use
SolidWorks on
virtual desktops,
it’s seamless…
from my phone, my
iPad, and my
computer.
”
– Mechanical Engineering
Student
North Carolina State
University
Real-time
collaboration for
engineers in
29 offices
across
7
countries
We are confident
that it is now
finally
economically viable
for CH2MHILL to
provide a VDI farm
for graphically
demanding
workloads across
the globe. This
could truly
transform the way
we do business.
”
– Craig Fletcher
CTO
CH2MHILL
33%
productivity
gain, access to
radiology images on
a variety of
endpoints
US Based Healthcare
Provider
92
9
Why GPU in the Cloud?
Key technologies for GPU in the Cloud
AGENDA
Performance Best Practices and Results
Deployment Quick Start
Summary
Resources & Next Steps
93
TEST DRIVE NVIDIA GRID TODAY
http://www.nvidia.com/trygrid
Instant access to NVIDIA
GRID on VMware vSphere
and Horizon
Pre-installed apps such
as AutoCAD, SolidWorks,
ArcGIS, NX, etc.
HTML demos and HD
videos
94
KEYS TO A SUCCESSFUL POC
Important things to remember during your POC:
 Define “acceptable” user experience
 Render times, smoothly panning, menu to appear
 Compare real world workloads
 With “think time” included, opposed to peak workload benchmarks
 Test with real users
 3D designer in the application, ultimate test of success
95
DETAILED INSTRUCTIONS
Deployment guides
www.nvidia.com/gridresources
96
OTHER NVIDIA GRID SESSIONS TO ATTEND
S6504 - A Data-Driven Methodology for NVIDIA GRID™ vGPU™ Sizing
S6392 - AEC Project Execution Using GRID vGPU Enhanced Virtualization
S6859 - Unveiling the Impact of Time Slicing with NVIDIA GRID™ vGPU for Realistic ROI/TCO
Analysis
S6210 - NVIDIA GRID™ and Dassault Catia from Proof of Concept to Production
S6194 - Delivering Graphics-Intensive Applications to Computing Labs and BYOD in Education
S6833 - Delivering GPU-Accelerated Applications from your Private Cloud
S6209 - A Look at Real World Performance Capabilities of NVIDIA GRID™ 2.0
S6198 - The Latest in High Performance Desktops with VMware Horizon and NVIDIA GRID™
vGPU
S6200 - Delivering 3D Workstations with VMware Horizon and NVIDIA GRID
L6117 - NVIDIA GRID Hands-on Lab
S6332 - Training and Simulation in a Secure Cloud Environment
97
April 4-7, 2016 | Silicon Valley
THANKS – Q&A
PHOTO CAPTION
99