The document discusses how enterprises can leverage deep learning and proposes 10 steps to do so. It recommends that enterprises 1) use existing deep learning models, 2) train models on their own data, 3) utilize professional services, 4) train staff, 5) evaluate lock-in risks, 6) deploy on-premise or in the cloud, 7) use scalable cloud services, 8) leverage powerful hardware, 9) plan a data strategy, and 10) have a deployment strategy. The document also promotes Nervana's deep learning products and services that can help enterprises with their deep learning efforts.

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Catalyzing Deep Learning's
Impact in the Enterprise
SEPTEMBER 2016
MAKING MACHINES SMARTER.™

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AI can transform the world for the better
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SAFER HEALTHIER HAPPIER

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But how does your enterprise win in this space?
3

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1. Use an existing model
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SegNet
AIICNN
bAbI
Q&A
GoogLeNet
Alexnet
Deep
Speech 2
VGG
Video Activity Detection
Sentiment Analysis
Speech RecognitionDeep Reinforcement Learning
Object Localization

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1. Use an existing model
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Image classification
car
roadsidewalk
building
tree
bicyclist
street
sign
Video activity detection

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2. Train on your data
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Cat!
Dog!
Cat???
Dog???

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TALENT POOL
Talent is tight
7

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8
3. Use Professional Services
GIVE A PERSON
A FISH

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4. Train your staff
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TEACH THEM
HOW TO FISH

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5. Evaluate lock-in
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6. If your org requires it - have an on premise plan
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Buys and
provisions
enterprise brands
piecemeal
Managed with
VMware
Organized and
managed with
vblocks
Commodity
hardware +
OpenStack
Uses Public
Cloud

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6. …or go straight to a cloud service
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Buys and
provisions
enterprise brands
piecemeal
Managed with
VMware
Organized and
managed with
vblocks
Commodity
hardware +
OpenStack
Uses Public
Cloud
SKIP UNNECESSARY SPENDING

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7. Use a scalable cloud service
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7. Use a scalable cloud service

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8. Embrace ludicrous speed
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DEEP LEARNING
PROCESSOR
55
TeraOps

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8. Embrace ludicrous speed
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GPUs:Graphics :: DL-PUs:AI
Source:Twitter @Bill_Gross

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9. Plan a Data Strategy
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…
55
TOps

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10. Have a deployment strategy
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Nervana has you covered
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neon cloud + platform
Revised 8/1/2016 Page 1 of 6
Nervana DLA: The world’s most advanced deep
learning platform — now in a box!
The Nervana Deep Learning
Platform is a full-stack, user-
friendly, turnkey system that
enables businesses to develop
and deploy high-accuracy artificial
intelligence solutions in record
time. Nervana Cloud is a hosted
version of the Nervana Deep
Learning Platform that enables all
the innovation that the cloud
provides while incorporating
privacy and data protection best
practices to keep your data safe.
For companies that prefer to keep
their data onsite for regulatory or
business reasons, Nervana offers
the Nervana DLA appliance as an
alternative to Nervana Cloud.
The Nervana DLA provides the
same deep learning capabilities as
Nervana Cloud via a secure,
physical server that can be
integrated directly into your IT
infrastructure along with your data
storage and identity management
systems (Figure 1). Nervana’s
intelligent deep learning management and scheduling software allows you to stack one or more
Nervana DLAs in order to share their considerable compute resources across teams.
The Nervana DLA is available in two models — the 8G and the 8E. The Nervana DLA 8G
includes eight NVIDIA Geforce GTX Titan X Maxwell GPUs, and the Nervana DLA 8E includes
eight Nervana Engines — custom ASICs that are optimized for deep learning. This data sheet
summarizes the key capabilities of the Nervana DLA, including:
● Software that streamlines the complete deep learning lifecycle
● Hardware and software designed for maximum speed
● Built-in stackability to grow with your business
Figure 4. Nervana Engines can be interconnected via bi-directional high-band
achieve near-linear training speedup across multiple Nervana DLA 8E applian
Built-in stackability to grow with your business
The Nervana DLA was designed from the ground up for “stackability” so it is e
deep learning capabilities as your business needs require. We already discus
advantage associated with interconnecting multiple Nervana DLA 8E applianc
boasts a number of other stackability features (Table 3) that make it easy to e
learning infrastructure.
engine

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Nervana in action
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Healthcare: Tumor detection
Automotive: Speech interfaces Finance: Time-series search engine
Positive:
Negative:
Agricultural Robotics Oil & Gas
Positive:
Negative:
Proteomics: Sequence analysis
Query:
Results:

21. NERVANA