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Nervana AI Overview Deck April 2016

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Sean Everett
Sean Everett

Nervana was just acquired by Intel for their capabilities and platform focused on Deep Learning and Artificial Intelligence. This is an overview deck of what they do.

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Proprietary and confidential. Do not distribute. Overview April 2016 MAKING MACHINES SMARTER.™
Proprietary and confidential. Do not distribute. nervana is … 2 Artificial Intelligence ON DEMAND
Proprietary and confidential. Do not distribute. World class team and investors 3 …as well as leading research labs Exceptional talent Drawing from experience at world class technology companies… Steve Jurvetson Matt Ocko Naveen Rao Amir Khosrowshahi Experienced investors & board Experienced board members Elite investors behind industry-shaping companies
Proprietary and confidential. Do not distribute. nervana is built on state of the art deep learning 4 • Features are discovered from data • Performance improves with more data Extract features at multiple levels of abstraction • High degree of representational power
Proprietary and confidential. Do not distribute. Deep learning techniques Deep learning has significantly improved accuracy 5 Source: ImageNet 1: ImageNet top 5 error rate Error rate1 human performance
Proprietary and confidential. Do not distribute. Implementing deep learning at scale is hard and expensive 6 Pre-process training data Augment data Design model Perform hyperparameter search • Team of data scientists with deep learning expertise • Enormous compute (CPUs /GPUs) and engineering resources
Proprietary and confidential. Do not distribute. The nervana platform - a full stack solution 7 neon deep learning framework nervana cloud import trainbuild deploy
Proprietary and confidential. Do not distribute. A new processor technology … 8 • Training and inference • Scalable distributed architecture • Memory near computation • Power efficient • Unprecedented compute density
Proprietary and confidential. Do not distribute. … will provide 10 to 100x gain in speed 9 ImageNet training 1: Standard Nvidia TitanX GPU 2: TitanX GPU optimized with Nervana software 3: Distributed training across multiple NervanaGPUs 4: Custom Nervana deep learning processor Traintime(hours) 0 500 1,000 1,500 2,000 CPU Single GPU NervanaGPU Multi NervanaGPU Nervana Engine 11033 100 2,000 2 3 41
Proprietary and confidential. Do not distribute. nervana solutions nervana implementation libraries (MOP layer) nervana deep learning functions customer algorithms customer models nervana models customer solution Our software stack is easy to use and extend 10 customer data Out of the box solutions that are easy to extend Standard deep networks definitions Rapid model prototyping and exploration. Model training and hyperparameter search. Integration with H/W for training & deployment • Fastest GPU implementations • Seamless access to cloud or local CPU/GPU HARDWARE AGNOSTIC • Video activity recognition • Speech recognition • Time-series prediction • Object localizer • Image classifier • Semantic parsing • Easy data ingestion • Curated state of the art models • Flexible deployment • REST API for training, inference
Proprietary and confidential. Do not distribute. Create solutions that are trained on YOUR data 11 neon deep learning framework nervana cloud Solutions Images Text Tabular Speech Time series Video
Proprietary and confidential. Do not distribute. Image classification and video activity detection 12 Deep learning model Potential applications • Trained on a public dataset1 of 13K videos in 100 categories • Training was approximately 3 times faster than competitive framework • Can be extended to perform scene and object detection, action similarity labeling, video retrieval, anomaly detection 1: UCF101 dataset: http://crcv.ucf.edu/data/UCF101.php • Activity detection and monitoring for security • Drone detection and tracking for air traffic mgmt. • Facial recognition and image based retrieval • Sense and avoid systems for autonomous driving • Baggage screening at airports and other public venueshttps://www.youtube.com/watch?v=ydnpgUOpdBw
Proprietary and confidential. Do not distribute. Speech to text conversion 13 1: LibriSpeech: http://www.openslr.org/12/ Deep learning model Potential applications • Trained on a public dataset2 of 1,000 hours of English speech • Trained in 5 days (vs. the normal 70 days) on nervana’s mGPU system • Can be easily extended to support other languages, detect sentiment, etc. • Speech recognition for command and control systems • Speech to text conversion for audio surveillance • Speech recognition and automated response for radio communication https://youtu.be/NaqZkV_fBIM
Proprietary and confidential. Do not distribute. 14 Deep learning model Potential applications • Includes 20 Q&A types1 ranging from single supporting facts to positional reasoning and agent motivation • Can be extended to more complex text analysis apps like theme identification and sentiment analysis 1: Facebook GRU/LSTM: https://research.facebook.com/researchers/1543934539189348 • Summarization and Identification of themes in documents, financial reports or news articles • Q&A system for querying any large corpus of text • Social media monitoring and sentiment analysis for intelligence and security Natural language processing
Proprietary and confidential. Do not distribute. Why nervana? 15 Fast Easy to use Scalable Bring your own data Cloud vs. on-premise Professional services
Proprietary and confidential. Do not distribute. Why nervana? 16 Fastest deep learning framework Fast Wide array of out of the box DL solutions Easy to use Scale based on training and inference needs Scalable Solutions are optimized for your specific use case Bring your own data Available either via : cloud service or on-premise appliance Cloud vs. on-premise Industry leading in-house team Professional services
Proprietary and confidential. Do not distribute. Two distinct engagement models 17 Scope Nervana HW Nervana SW Nervana DL Team Nervana Cloud • Access to out of the box solutions, industry leading Nervana framework and hardware infrastructure Full engagement Nervana Cloud plus: • Data science support • Fully optimized deep learning solution
Proprietary and confidential. Do not distribute. Sample Engagements 18 Description NON-EXHAUSTIVE Identification and measurement of crops to drive decisions for precision agriculture Description Analysis of speech samples from in-vehicle communications system Applying video activity detection techniques to analyze urban surveillance data Analysis of uploaded images to detect fraudulent activity NLP analysis of financial documents, analyst and industry reports Helping predict the occurrence and severity of storms in climate simulations Transcription and analysis of customer sales calls to predict outcomes Predicting performance of hybrid seeds from genetic, phenotype, environmental data Enhancing exchange-traded products and detecting anomalous patterns in order books Using NLP techniques to analyze RFPs and generate recommendations Precision Agriculture Asset Management Enterprise Infrastructure Genomics Financial Services Security Sales Automation Automotive Online Services Climate Science
Proprietary and confidential. Do not distribute. Localize weather phenomena TMQ T500 T200 19
Proprietary and confidential. Do not distribute. Tumor detection Positive: Negative: 20
Proprietary and confidential. Do not distribute. Find fault lines for oil & gas exploration 21
Proprietary and confidential. Do not distribute. Identify and count corn stalks 22 Positive: Negative:
NERVANA
Proprietary and confidential. Do not distribute. nervana has the fastest library 24 neon benchmarks 1: Developed by Facebook and Nvidia 2: Developed by Google SOURCE: Soumith Chintala; http://github.com/soumith/convnet-benchmarks 1 1 2
Proprietary and confidential. Do not distribute. 25 SOURCE: Compiled by Baidu: http://svail.github.io/ nervana has the fastest library neon benchmarks
NERVANA

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Nervana AI Overview Deck April 2016

  • 1. Proprietary and confidential. Do not distribute. Overview April 2016 MAKING MACHINES SMARTER.™
  • 2. Proprietary and confidential. Do not distribute. nervana is … 2 Artificial Intelligence ON DEMAND
  • 3. Proprietary and confidential. Do not distribute. World class team and investors 3 …as well as leading research labs Exceptional talent Drawing from experience at world class technology companies… Steve Jurvetson Matt Ocko Naveen Rao Amir Khosrowshahi Experienced investors & board Experienced board members Elite investors behind industry-shaping companies
  • 4. Proprietary and confidential. Do not distribute. nervana is built on state of the art deep learning 4 • Features are discovered from data • Performance improves with more data Extract features at multiple levels of abstraction • High degree of representational power
  • 5. Proprietary and confidential. Do not distribute. Deep learning techniques Deep learning has significantly improved accuracy 5 Source: ImageNet 1: ImageNet top 5 error rate Error rate1 human performance
  • 6. Proprietary and confidential. Do not distribute. Implementing deep learning at scale is hard and expensive 6 Pre-process training data Augment data Design model Perform hyperparameter search • Team of data scientists with deep learning expertise • Enormous compute (CPUs /GPUs) and engineering resources
  • 7. Proprietary and confidential. Do not distribute. The nervana platform - a full stack solution 7 neon deep learning framework nervana cloud import trainbuild deploy
  • 8. Proprietary and confidential. Do not distribute. A new processor technology … 8 • Training and inference • Scalable distributed architecture • Memory near computation • Power efficient • Unprecedented compute density
  • 9. Proprietary and confidential. Do not distribute. … will provide 10 to 100x gain in speed 9 ImageNet training 1: Standard Nvidia TitanX GPU 2: TitanX GPU optimized with Nervana software 3: Distributed training across multiple NervanaGPUs 4: Custom Nervana deep learning processor Traintime(hours) 0 500 1,000 1,500 2,000 CPU Single GPU NervanaGPU Multi NervanaGPU Nervana Engine 11033 100 2,000 2 3 41
  • 10. Proprietary and confidential. Do not distribute. nervana solutions nervana implementation libraries (MOP layer) nervana deep learning functions customer algorithms customer models nervana models customer solution Our software stack is easy to use and extend 10 customer data Out of the box solutions that are easy to extend Standard deep networks definitions Rapid model prototyping and exploration. Model training and hyperparameter search. Integration with H/W for training & deployment • Fastest GPU implementations • Seamless access to cloud or local CPU/GPU HARDWARE AGNOSTIC • Video activity recognition • Speech recognition • Time-series prediction • Object localizer • Image classifier • Semantic parsing • Easy data ingestion • Curated state of the art models • Flexible deployment • REST API for training, inference
  • 11. Proprietary and confidential. Do not distribute. Create solutions that are trained on YOUR data 11 neon deep learning framework nervana cloud Solutions Images Text Tabular Speech Time series Video
  • 12. Proprietary and confidential. Do not distribute. Image classification and video activity detection 12 Deep learning model Potential applications • Trained on a public dataset1 of 13K videos in 100 categories • Training was approximately 3 times faster than competitive framework • Can be extended to perform scene and object detection, action similarity labeling, video retrieval, anomaly detection 1: UCF101 dataset: http://crcv.ucf.edu/data/UCF101.php • Activity detection and monitoring for security • Drone detection and tracking for air traffic mgmt. • Facial recognition and image based retrieval • Sense and avoid systems for autonomous driving • Baggage screening at airports and other public venueshttps://www.youtube.com/watch?v=ydnpgUOpdBw
  • 13. Proprietary and confidential. Do not distribute. Speech to text conversion 13 1: LibriSpeech: http://www.openslr.org/12/ Deep learning model Potential applications • Trained on a public dataset2 of 1,000 hours of English speech • Trained in 5 days (vs. the normal 70 days) on nervana’s mGPU system • Can be easily extended to support other languages, detect sentiment, etc. • Speech recognition for command and control systems • Speech to text conversion for audio surveillance • Speech recognition and automated response for radio communication https://youtu.be/NaqZkV_fBIM
  • 14. Proprietary and confidential. Do not distribute. 14 Deep learning model Potential applications • Includes 20 Q&A types1 ranging from single supporting facts to positional reasoning and agent motivation • Can be extended to more complex text analysis apps like theme identification and sentiment analysis 1: Facebook GRU/LSTM: https://research.facebook.com/researchers/1543934539189348 • Summarization and Identification of themes in documents, financial reports or news articles • Q&A system for querying any large corpus of text • Social media monitoring and sentiment analysis for intelligence and security Natural language processing
  • 15. Proprietary and confidential. Do not distribute. Why nervana? 15 Fast Easy to use Scalable Bring your own data Cloud vs. on-premise Professional services
  • 16. Proprietary and confidential. Do not distribute. Why nervana? 16 Fastest deep learning framework Fast Wide array of out of the box DL solutions Easy to use Scale based on training and inference needs Scalable Solutions are optimized for your specific use case Bring your own data Available either via : cloud service or on-premise appliance Cloud vs. on-premise Industry leading in-house team Professional services
  • 17. Proprietary and confidential. Do not distribute. Two distinct engagement models 17 Scope Nervana HW Nervana SW Nervana DL Team Nervana Cloud • Access to out of the box solutions, industry leading Nervana framework and hardware infrastructure Full engagement Nervana Cloud plus: • Data science support • Fully optimized deep learning solution
  • 18. Proprietary and confidential. Do not distribute. Sample Engagements 18 Description NON-EXHAUSTIVE Identification and measurement of crops to drive decisions for precision agriculture Description Analysis of speech samples from in-vehicle communications system Applying video activity detection techniques to analyze urban surveillance data Analysis of uploaded images to detect fraudulent activity NLP analysis of financial documents, analyst and industry reports Helping predict the occurrence and severity of storms in climate simulations Transcription and analysis of customer sales calls to predict outcomes Predicting performance of hybrid seeds from genetic, phenotype, environmental data Enhancing exchange-traded products and detecting anomalous patterns in order books Using NLP techniques to analyze RFPs and generate recommendations Precision Agriculture Asset Management Enterprise Infrastructure Genomics Financial Services Security Sales Automation Automotive Online Services Climate Science
  • 19. Proprietary and confidential. Do not distribute. Localize weather phenomena TMQ T500 T200 19
  • 20. Proprietary and confidential. Do not distribute. Tumor detection Positive: Negative: 20
  • 21. Proprietary and confidential. Do not distribute. Find fault lines for oil & gas exploration 21
  • 22. Proprietary and confidential. Do not distribute. Identify and count corn stalks 22 Positive: Negative:
  • 24. Proprietary and confidential. Do not distribute. nervana has the fastest library 24 neon benchmarks 1: Developed by Facebook and Nvidia 2: Developed by Google SOURCE: Soumith Chintala; http://github.com/soumith/convnet-benchmarks 1 1 2
  • 25. Proprietary and confidential. Do not distribute. 25 SOURCE: Compiled by Baidu: http://svail.github.io/ nervana has the fastest library neon benchmarks