[SF]Spark Summit Update + Tensorflow + DL4J + Spark ML + CUDA + GPU + Kubernetes
Details
Talk 0: Meetup Announcements and Recent Technology Updates
(Chris Fregly (http://linkedin.com/in/cfregly) from PipelineIO (http://pipeline.io/))
Spark Summit EU Brussels 2016: Quick Summary and Highlights
Kubernetes 1.4: Cross-Cloud Replication and Orchestration
CUDA 8: Unified Memory for Hetergeneous CPU-GPU Memory Addressing
Talk 1: ACID + Spark + TensorFlow
(Splice Machine (http://www.splicemachine.com/))
Talk 2: Kubernetes + TensorFlow Distributed + Chaos Monkey + Google Cloud ML (THIS IS NOT A VENDOR TALK!)
(Eli Bixby (https://www.linkedin.com/in/eli-bixby-50512820) from Google/TensorFlow (https://www.tensorflow.org/))
Talk 3: Deep Dive into Deep Learning for Java (DL4J), N-Dimensional Array for Java (ND4J), and JavaCPP
(Susan Eraly (https://www.linkedin.com/in/susan-eraly-8a2b2839) from Skymind (http://skymind.io))
Talk 4: Deep Dive into Spark ML + TensorFlow + TensorFrames + Kubernetes + Docker + CUDA 8 + GPU/CPU Unified Memory Model
(Chris Fregly (http://linkedin.com/in/cfregly) from PipelineIO (http://pipeline.io/))
Talk 5: Demo One-Click Deploy of Spark ML and TensorFlow AI Models from Jupyter Notebooks to NetflixOSS-based Production Microservices
(Chris Fregly (http://linkedin.com/in/cfregly) from PipelineIO (http://pipeline.io))
Related Links
• http://pipeline.io (http://pipeline.io/)
• http://blog.kubernetes.io/2016/09/kubernetes-1.4-making-it-easy-to-run-on-kuberentes-anywhere.html
• https://devblogs.nvidia.com/parallelforall/cuda-8-features-revealed (https://devblogs.nvidia.com/parallelforall/cuda-8-features-revealed)