Thank you to everyone who was able to attend our session at VMworld! And an even bigger thanks to those visiting who weren’t able to attend in person. Gina and I want to make sure you have the resources you need to understand how you can gain a competitive advantage by virtualizing your AI/ML/DL/ and HPC workloads. We wanted to share with you the resources for the session, these are items we found helpful in preparing our content or may help to further explain ideas presented in our session.
Recording of the session:
Session slides (sorry only available in PDF):
Learn more about:
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- The Neural Network Zoo: http://www.asimovinstitute.org/neural-network-zoo/
- Para-Virtualized Remote Direct Memory Access (PVRDMA): 1drnrd.me/PVRDMA
- How Machines Learn – NVIDIA (What’s the Difference Between Deep Learning Training and Inference?): https://blogs.nvidia.com/blog/2016/08/22/difference-deep-learning-training-inference-ai/
- How Machines Learn – Deep Learning Concepts: Training vs Inference
- Dell EMC Ready Solution for AI (in the interest of full disclosure I work for Dell): https://www.dellemc.com/en-us/solutions/data-analytics/machine-learning/ready-solutions-for-ai.htm
- Cycle Harvesting Case Study: https://bit.ly/2MrBngH
- vSphere for HPC: https://www.vmware.com/solutions/high-performance-computing.html
- vSphere for Big Data: https://www.vmware.com/solutions/big-data.html
- Dell EMC AI: http://dellemc.com/ai
- Deep Learning Institute with Dell EMC:https://education.emc.com/content/emc/en-us/home/DellEMC-NVIDIA.html
- Dell EMC HPC and AI Innovation Lab: https://www.dellemc.com/en-us/solutions/high-performance-computing/HPC-AI-Innovation-Lab.htm
