Mayur Runwal and Steven David: User desktops in AWS for low latency and graphically intense applications

awschicago 23 views 12 slides Jun 24, 2024
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About This Presentation

AWS Community Day Midwest 2024
Mayur Runwal and Steven David | User desktops in AWS for low latency and graphically intense applications


Slide Content

MIDWEST | OHIO

User Desktops in AWS for low latency and
graphically intense applications
Mayur Runwal
Senior Solutions Architect
Amazon Web Services
Steven David
Principal Solutions Architect
Amazon Web Services

Enabling hybrid and remote workers is challenging
❑Security
❑Resilience
❑Budget
❑Software licensing
❑IT resources
❑Data center migrations
❑User experience
Contingent
workforce
BYOD
workers
M&A
employees
Training
labs
Graphics &
visualization
Knowledge
workers
Developers,
data scientists
& engineers
Factory
and field
Task
workers

AWS end-user computing services
Amazon WorkSpaces Thin Client
Cost-effective, secure, simple access to virtual desktops
Amazon
WorkSpaces Core
Infrastructure for
third-party virtual
desktop software
Amazon
WorkSpaces
Persistent
virtual
desktops
Amazon
AppStream 2.0
Non-persistent
virtual
desktops
Amazon
WorkSpaces Web
Low-cost, secure
web browser
Amazon
AppStream 2.0
SaaS conversion,
application streaming
Virtual desktops
Application streaming

Ubuntu 22.04
Amazon Linux
Windows 10 BYOL
Windows Server 2019
•15 AWS regions, maximizing performance
•88 Bundle Types
•Hourly or monthly billing
•Web, Windows, Mac, Linux, iOS, Android access clients
•MFA, SAML, AD, & 3
rd
party IdP authentication
•Latest WSPv2 remoting protocol
•End user self-service


WorkSpaces for developers

© 2024, Amazon Web Services, Inc. or its affiliates. All rights reserved.
BUNDLES vCPURAM GPU/MODEL
GPU
MEM
CUDA
SSD ROOT
VOLUME
SSD
USER VOLUME
WINDOWS LINUX EC2 TYPE
Value 1 2 - - - 80GB 10GB Win2008R2/2016 AL2 internal
Standard 2 4 - - - 80GB 50GB Win2008R2/2016 AL2 internal
Performance 2 7.5 - - - 80GB 100GB Win2008R2/2016 AL2 internal
Power 4 16 - - - 175GB 100GB Win2008R2/2016 AL2 internal
PowerPro 8 32 - - - 175GB 100GB Win2008R2/2016 AL2 internal
Graphics 8 15 NVIDIA 4 1536 100GB 100GB Win2008R2/2016 - internal
GraphicsPro 16 122 NVIDIA M60 8 2048 100GB 100GB Win2016 - g3.4xlarge

Access your desktop anywhere, anytime, from any device
Scalable and performant
Simple to deploy and manage
Pay-as-you-go
Secure cloud desktops
Amazon WorkSpaces

© 2024, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Image Builder
Used to install
and configure
Business
Applications
Image Assistant
Used to define
and optimize
Apps presented,
configure default
user settings and
create an image
Define a Fleet
Configurations
include image,
instance types,
networking,
scaling
configurations
Provision a Stack
Configurations
include Fleet,
user storage,
access
permission
options
and customer
branding
User Pools
Used to define
users and grant
stack access
User
User
User
Administrator
Fully managed application streaming service that provides users instant access to their desktop applications
AppStream 2.0

© 2024, Amazon Web Services, Inc. or its affiliates. All rights reserved.
High-level architecture
AWS Cloud
Streaming
gateway
AppStream 2.0
Fleet
Amazon
S3
Identity
provider
Customer VPC
AppStream 2.0 VPC (198.19.x)
Image builders
Private subnet BPrivate subnet A
Availability Zone 2Availability Zone 1

© 2024, Amazon Web Services, Inc. or its affiliates. All rights reserved.
NICE DCV
Access, manipulate, and share business-critical information,
regardless of location, over LAN, or WAN networks
Encrypt and transport pixels to devices
DCV protocol
Local
clients
Remote
servers
Transfer pixels, not data

© 2024, Amazon Web Services, Inc. or its affiliates. All rights reserved.
G5 P4d DL1G5g P3 P4de Inf1 F1Inf2P5 VT1
Broad and deep accelerated computing portfolio
GPU, AWS ML ACCELERATORS, AND FPGA-BASED EC2 INSTANCES
GPUs AI/ML accelerators and ASICs FPGAs
Trn1G4
Preview
Trainium accelerator
Inferentia accelerator
Graviton CPU
H100, A100,
V100 GPU
A10G, T4 GPU
Gaudi accelerator Radeon GPU
Xilinx accelerator
Xilinx FPGA
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Thank You!
Mayur Runwal
[email protected]
Steven David
[email protected]