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Proprietary and confidential. Do not distribute.
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
2
SAFER HEALTHIER HAPPIER
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1. Use an existing model
4
SegNet
AIICNN
bAbI Q&A
GoogLeNet
Alexnet
Deep Speech 2
VGG
Video Activity Detection
Sentiment AnalysisSpeech RecognitionDeep Reinforcement Learning
Object Localization
Proprietary and confidential. Do not distribute.
1. Use an existing model
5
Image classification
car
roadsidewalk
buildingtree
bicyclist
street sign
Video activity detection
Proprietary and confidential. Do not distribute.
8
3. Use Professional Services
GIVE A PERSON A FISH
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6. If your org requires it - have an on premise plan
11
Buys and provisions
enterprise brands piecemeal
Managed with VMware
Organized and managed with
vblocks
Commodity hardware + OpenStack
Uses Public Cloud
Proprietary and confidential. Do not distribute.
6. …or go straight to a cloud service
12
Buys and provisions
enterprise brands piecemeal
Managed with VMware
Organized and managed with
vblocks
Commodity hardware + OpenStack
Uses Public Cloud
SKIP UNNECESSARY SPENDING
Proprietary and confidential. Do not distribute.
8. Embrace ludicrous speed
15
DEEP LEARNING PROCESSOR
55 TeraOps
Proprietary and confidential. Do not distribute.
8. Embrace ludicrous speed
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GPUs:Graphics :: DL-PUs:AISource:Twitter @Bill_Gross
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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
Revised 8/1/2016 Page 5 of 6
Figure 4. Nervana Engines can be interconnected via bi-directional high-bandwidth links to achieve near-linear training speedup across multiple Nervana DLA 8E appliances.
Built-in stackability to grow with your business The Nervana DLA was designed from the ground up for “stackability” so it is easy to extend your deep learning capabilities as your business needs require. We already discussed the speed advantage associated with interconnecting multiple Nervana DLA 8E appliances. The DLA boasts a number of other stackability features (Table 3) that make it easy to expand your deep learning infrastructure. Table 3. Stackability Features and Benefits
Feature Benefit
Self-discovery Horizontal scaling of the Nervana DLA appliance family is as easy as adding new DLAs to your cluster. Nervana’s Appliance Management tools automatically discover the new box’s capabilities and add them to the resource pool.
Smart policy-driven job scheduling
Administrators can specify priority and resource constraints on a per-user or per-group basis. Nervana’s acclaimed distributed deep learning support takes full advantage of the cluster, automatically scheduling distributed training runs on multiple DLA servers when needed, while taking into account resource availability and cluster topology.
High availability and redundancy
Nervana DLA clusters can be configured redundantly, and neon-based tasks are checkpointed for easy migration in case of hardware failures, ensuring uninterrupted training and inference execution.
Hybrid cloud Nervana DLA operates in either air-gapped or hybrid cloud modes. When in air-gapped mode, no off-premise network connections are required. Hybrid cloud mode allows workloads to be seamlessly dispatched to either on-prem DLAs or to Nervana Cloud, based on privacy and resource policies.
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: