AWS provides unprecedented computational power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. Together, Amazon EC2 Elastic GPUs and Amazon AppStream provide the capabilities necessary for end users to access and run these applications. In this session, you learn more about Elastic GPUs and Amazon AppStream, and how you can run graphics-intensive applications on AWS. You also hear from ANSYS, a leader in engineering simulation software, and why they are moving the ANSYS Enterprise Cloud to Elastic GPUs and Amazon AppStream to deliver a better experience for customers. 

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
December 2016
CMP320
NEW LAUNCH!
Delivering Powerful,
Graphics-Intensive Apps
from the AWS Cloud
Tosh Tambe, Supreeth Sheshadri, Amazon Web Services
Judd Kaiser, ANSYS

2. What to Expect from the Session
• Challenges in deploying graphics-intensive
workloads
• Delivering 3D apps from AWS
• Customer use case – ANSYS

3. Graphics-intensive Workloads

4. Traditional Workstation

5. Design & Engineering
Data &
Process
(PLM)
Conceptual
Design
Engineering
Design (CAD)
Simulation
& Analysis
(CAE)
Tooling
Design
(CAM)

6. Application Toolchain
Application 1
Application 2
Application
Application ..n
Data
Management

7. Application Toolchain on-premises
Application 1
Application 2
Application
Application ..n

8. Application Toolchain on-premises
Application 1
Application 2
Application
Application ..n

9. Application Toolchain on-premises
Application 1
Application 2
Application
Application ..n

10. Application Toolchain on the cloud
Application 1
Application 2
Application
Application ..n

11. Application Toolchain on the cloud
Application 1
Application 2
Application
Application ..n

12. Graphics System
Data Model Frame Display DeviceScene
CPU GPU GPU
Data Heavy Data Heavy Data Light

13. Graphics System - Remoting
Data Model Frame Display DeviceScene
CPU GPU GPU
Data Heavy Data Heavy Data Light
Generate Stream

14. G2
Generating Graphics on AWS

15. GPU-graphics Instance – G2
• Launched in Nov 2013
• Up to 4 NVIDIA GRID K520 GPUs
• Suitable for both graphics and compute workload
• Supports DirectX, OpenGL, CUDA, OpenCL

16. G2 – Some workloads work well
• Applications requiring full GPU
• Applications that consume all of GPU but
require only modest CPU and RAM
• Access hardware encoding
• Use CUDA with OpenGL

17. G2 – However, other workloads don’t!
G2 has fixed ratio of CPU, RAM, and GPU, which means:
• Either constrained
• Or overprovisioned

18. ANSYS enables customers to
predict with confidence that their
products will thrive in the real world.
About ANSYS

19. Our most innovative customers are rapidly deploying simulation
2005 2015 2020
1 in 22 1 in 6 ALL
The ANSYS Vision: Every Engineer Will Use Simulation

20. ANSYS Enterprise Cloud
(an AWS-based simulation data center)
Key solution components
• Scaling HPC (Cycle)
• Interactive 3D graphics (NICE)
• Cloud storage

21. Enterprise Cloud Graphics
GPU is critical for 3D graphics performance
Need the right balance of GPU/CPU/RAM
Nice DCV “external rendering” feature is
mission-critical
Looking ahead…
Proxy
OpenGL
Thin Client
DCVprotocol
(https)
G2
R3

22. Generating Graphics on AWS
Elastic GPU

23. EC2 + Elastic GPU = Flexibility
t2
c4
m4
r4
:
:
Small GPU
:
:
Large GPU
Attach Elastic GPU to an instance at launch, similar to attaching an EBS volume

24. Elastic GPU Architecture
Compute + Graphics
Instructions
Graphics
Instructions
Instructions
Image
Image
Instance Graphics Attachment

25. Elastic GPU – Key Features
Range of instance types depending on customer’s need
Graphics attachment in any of a range of sizes
depending on customer’s need
Single tenancy dedicated hardware for the specific
customer and instance

26. How do you use Elastic GPU?
Console
API / CLI
Managed services

27. Attaching Elastic GPU – Console

28. Attaching Elastic GPU – Console

29. Attaching Elastic GPU – API / CLI
• New parameter added to EC2 ‘RunInstances’ call:
• ElasticGpuType
• CLI Example:
aws ec2 run-instances --ami-id ami123abc --elastic-gpu-type eg1.xlarge

31. Application Streaming

32. Our learnings from AppStream
• AppStream – SDK-based streaming engine
• Several gaps – app lifecycle, VPC access,
price/performance, DIY clients
• Customers wanted fully managed streaming platform

33. Fully managed application streaming service that provides
users instant access to their desktop applications

34. Desktop Application Streaming
Stream desktop applications securely
to any web browser
Pay-as-you-go Scale globally
Secure apps & dataRun Desktop Apps
in a Web Browser

35. Move desktop applications
to the cloud
Provide instant access
to apps from anywhere
Offer tools to simplify
application streaming
Why Did We Build Amazon AppStream 2.0?

36. Business & Public Sector
Move desktop apps
to cloud with no re-write
ISVs Design & Engineering

37. Benefits: Instant-on Access to Desktop Apps
Instant start for desktop apps – like watching a video online

38. Benefits: Import Your Apps Without Re-writes
Import existing apps with no changes or re-write and start streaming

39. Benefits: Works With Your IT
Integrates with existing apps, identity, entitlements, and back-end

40. Benefits: Fully-Managed Service
No hardware or software to install, submit your apps and start streaming

41. One streaming instance per end user – no shared instances
Benefits: Consistent Scalable Performance

42. • Multiple instance types
• Graphics and non-graphics instance families
• Standard, Compute, Memory, and Graphics
• Non-graphics starting from 10 cents/hr
• Supports Elastic GPU
Features: Multiple Instance Types

43. • Pay per hour for running instances in your fleet
• Scaling policies and instance type choice optimize
cost
• Pay per unique user that connects in a month
• User fee waived for BYOL RDS CALs
AppStream 2.0 Pricing

44. Build your own streaming SaaS – Elements
Admin UsersStreaming
Technology

45. • Use multiple apps at the same time
• Clipboard, file upload/download, printing
• Audio and bandwidth controls
• Multiple storage options
• HTML5 browsers with no plug-ins
Simple User Experience

46. Simple user experience

47. Simple user experience

48. NICE DCV streaming protocol
• High fidelity visualization delivered to browsers
• HTTPS access via streaming gateways
• Adaptive and responsive streaming
• AES-256 encrypted
• Supports both 3D and non-graphics applications

49. Admin set up
1 2 3 4

50. Network config
On-premises
Public Internet
VPN
or
Direct Connect
Pixels - HTTPS
Identity/SAML
Pixels - HTTPS
Streaming Gateway
Fleet
Utility/License/Database servers
AppStream 2.0 Network – 198.19.x
Customer/ISV VPC
172.X or 192.x or 10.x
Photon Built in
Storage
Private Network Access
HPC Cluster
Stack

51. Admin Experience
AWS Management Console Programmatic access – AWS SDK

52. Launch streaming application(s)
$> aws appstream create-streaming-url <stack> [app]

53. Demo with Elastic GPU

54. Elastic GPU, AppStream 2.0, and your
applications
• Enable license mobility
• Certify your applications
• Start trials, training, and SaaS environments

55. Thank you!
CMP321: Building SaaS offerings for desktop apps with Amazon AppStream 2.0
BAP204: Delivering desktop applications to any device anywhere with Amazon
AppStream 2.0

56. Remember to complete
your evaluations!