GPUs have a large application in Media and Entertainment workloads. From backend video processing and creation workloads such as VFX/Rendering, transcoding and broadcast playout to high-end creatives as well as video editing workloads. Backed by the NVIDIA Tesla M60 GPUs, G3 instances offer unparalleled power and flexibility to do complex modeling, 3D visualization, computer aided design, seismic visualization, video encoding. G3 instances are the first Amazon EC2 instances to support NVIDIA GRID Virtual Workstation capabilities, with streaming support for four monitors each with up to 4K resolution, and hardware encoding to support up to 10 High Efficiency Video Coding (HEVC) H.265 1080p30 streams or up to 18 H.264 1080p30 streams per GPU for faster video frame processing and improved image fidelity. In this session we will highlight two criticial Media workloads Video Editing via remote application streaming and Broadcast Playout origination from the AWS cloud. We will have Pop Media discuss their remote video editing in the cloud that enables secure remote, real-time editorial and image processing session views. This will be followed by Evertz regarding Discovery Channel’s broadcast Playout application for several live Discovery channels currently.

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GPU(G3) Applications in Media
and Entertainment Workloads
U s m a n S h a k e e l | W W T e c h L e a d e r M & E f o r A W S
C M P 2 1 3
N o v e m b e r 2 8 , 2 0 1 7
AWS re:INVENT

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Setting the stage
This talk:
• G3 instances
• Example media and entertainment (M&E) workloads with G3
application
• Broadcast video
• Remote video edits (NLE) in the cloud

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AWS GPU offerings
G3 M60
P3 V100 GPU
EC2EC2EC2
NVIDA M60 GPUs NVIDIA Tesla V100 GPUs N/A
1, 2, and 4 GPUs per instance Up to 8 of the latest-gen
NVIDIA Tesla GPUs per
instance
1,2,4, and 8 GiB per EGPU
CUDA, OpenCL, OpenGL CUDA, OpenCL OpenGL
Graphics Applications Machine Learning, High
Performance DB
Graphics Applications and
General Purpose

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M&E workload segments
Playout & Distribution
Post Production Analytics
DAM & Archive
Media Supply Chain
Publishing
OTT
Acquisition
Content Production Content Delivery

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M&E workload segments
Playout & Distribution
Post Production Analytics
DAM & Archive
Media Supply Chain
Publishing
OTT
Acquisition
Content Production Content Delivery
AI/Deep Learning
Immersive Experiences

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M&E workload segments & GPU relevance
Playout & Distribution
Post Production
Media Supply Chain
Content Production Content Delivery
AI/Deep Learning
Immersive Experiences
Remote Application Streaming
- Video editing
- QC
- Graphics artist workstations
- VFX/Rendering GPU based
Workstation GPU (G3 Required)
Image/Video Deep Learning
- Custom AI models
Text and Speech Models
Analytics/ML Model
Mostly with P2 instances
Batch workloads
- Encoding/Transcoding
- Just in-time
- Live scenarios
- Stitching in the case or VR/AR
Real-time Rendering
- Rendering overlays
- Playout scheduling

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AWS G3 GPU instances
• Up to four NVIDIA M60 GPUs
• Includes GRID Virtual Workstation features and licenses
• Supports up to four monitors with 4096x2160 resolution
• Hardware encoding to support up to 10 H.265 (HEVC) 1080p30 streams,
and up to 18 H.264 1080p30 streams per GPU
• Designed for workloads such as 3D rendering, 3D visualizations,
graphics-intensive remote workstations, video encoding, and virtual
reality applications
Instance Size GPUs vCPUs Memory (GiB) Network Bandwidth*
g3.4xlarge 1 16 122 Up to 10 Gbps
g3.8xlarge 2 32 244 10 Gbps
g3.16xlarge 4 64 488 20 Gbps
*In a placement group

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Example Application of GPUs
Within Broadcast Video
D a n T u r o w
V i c e P r e s i d e n t , F i l e B a s e d S o l u t i o n s
E v e r t z
J e r e m y B l y t h e
S r . D i r e c t o r , C o n t e n t M a n a g e m e n t S y s t e m s
E v e r t z

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Discussion Agenda
Reference Graphics…Roll The Video…
Cloud Playout System Overview
Playout Engine Challenges
Benefits of a GPU-focused Architecture

11. 11
Discovery U.S.
Revenue Based
On The Cloud
Worldwide
Revenue !!!

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$825k
First Live Event Was
40 hours of LIVE !!

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17. 17
Template Builder Picture Slide

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• Building brand awareness
• Consistency across all delivery methods (linear, non-linear, OTT, web)
• Viewer Retention!
• Retention in program
• Retention in channel
• Retention cross-channel
Why Spend So Much Time and Dedicate GPU
Resources to Broadcast Graphics?

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Multi-Site Hybrid Public/Private Cloud
10 G Direct
Connect
Cloud Computing
Control and Monitoring

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Multi-Site Hybrid Public/Private Cloud
Sterling, VALondon, UK
US, DR
UK, Colo 1 UK, Colo 2 US, Colo 1 US, Colo 2
Region 1 Region 2

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Multi-Site Hybrid Public/Private Cloud

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Control room
view

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Region 1
Region 2
Control room
view

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Playout Engine Challenges
• High resolution
• Low compression
• Large raster
• Alpha blended
• Compute intensive
• Highly multi-threaded
• Lots of competition for CPU time
• Real time!

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Lots of
competition
for CPU time
Multi-
threaded

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One frame every 16ms

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Instance cost
Model vCPU Memory (GiB) On-demand price/hour
g3.8xlarge 32 244 $2.28
r4.8xlarge 32 244 $2.13
m4.10xlarge 40 160 $2.00
c4.8xlarge 36 60 $1.59
(Prices are taken from us-east-1 on October 15, 2017)

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GPU GPU
One frame every 16ms

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Double workload
0
10
20
30
40
50
60
70
80
90
100
c4.8xlarge g3.8xlarge g3.8xlarge (double workload)
CPU GPU

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Pipeline cost
Model vCPU Memory (GiB) Pipeline price/hour
g3.8xlarge 32 244
$1.14
r4.8xlarge 32 244 $2.13
m4.10xlarge 40 160 $2.00
c4.8xlarge 36 60 $1.59

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Example application of GPUs
within content production
D a v i d B e n s o n
C T O / C o - F o u n d e r , B e b o p T e c h n o l o g i e s
P a t r i c k Y e w
V P P o s t P r o d u c t i o n , P o p T V

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At the core of BeBop Technology’s platform is the high
powered workstation where all creative work gets done.
BeBop has harnessed the power of AWS G3 GPU
instances, vast deployment availability, and our own
unparalleled cloud and industry expertise to create the
world’s most advanced and secure media workflow
platform ever.
Using AWS’s G3 instances, BeBop is able to deliver a
complete post-production ecosystem with high-powered
GPU workstations at the center of it all.
G3 Feature Summary:
• 2–3x machine resource upgrade from older generation
of GPU instances (G2)
• Multi-monitor support (up to four monitors)
Transforming M&E workflows

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What BeBop workstations are…
BeBop
• Regional BeBop deployments
include:
• Directory services
• Licensing services
• BeBop client gateway
Services
• Storage services
• Workstation services
• Workstations
• EC2 G3 instance family
• g3.4xlarge
• Provides a 2–3x
increase in resources
from the G2 family
• PCoIP remote desktop
protocol

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The question you’re thinking:
Why shouldn’t I just do this myself?
 Core cloud platform expertise
 Cloud security best practices
 Decades of experience integrating media workflows together with cloud technologies at
production scale
BeBop has put careful thought, research, development, and investment into how to make all of this actually
workable in a live environment

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The Pop TV challenge

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Pop TV BeBop use case
Initial challenge was to enable remote editorial episodic television work securely, and to enable
secure and fast ingest of content from Los Angeles facility.
Key specifics:
 Completed an onsite assessment to understand Pop’s post-production processes
 Deployed BeBop Rocket service to cost-effectively ingest content from Pop’s local facility in Los
Angeles to the AWS Cloud
 Provided the editor with full access to the BeBop Platform to work remotely utilizing Adobe
Premiere as the editing tool

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What’s next for BeBop and Pop?
BeBop Rocket
(Cloud ingest platform)
BeBop OTS
(Real-Time Collaboration)
BeBop DR
(Disaster Recovery)

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Thank you!