Davit Buniatyan, Activeloop CEO, joins host Jake Smith on the latest episode of Conversations in the Cloud to discuss optimizing data lakes for creating deep learning-based products. Deep Lake allows storing complex data in AI-native format and streaming it over the network to Tensor Query Language, in-browser visualization engine, and deep learning frameworks without sacrificing GPU utilization. A member of the Intel Disruptor program, Activeloop partners with Intel to deliver Deep Lake on Intel® Xeon Scalable Processors and make Deep Lake more performant.
 
Learn more about Deep Lake at activeloop.ai  

Research Links: 
Deep Lake Whitepaper: https://www.deeplake.ai/whitepaper
Deep Lake Academic Paper: https://arxiv.org/pdf/2209.10785.pdf 
Deep Lake GitHub Repository: https://github.com/activeloopai/deeplake
Deep Lake Datasets: https://datasets.activeloop.ai/docs/ml/datasets/

Building a Data Lake for Deep Learning with Activeloop - Episode 289

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Intel® Conversations in the Cloud is a podcast with IT leaders who are driving the future of a software-defined infrastructure based data center. Featuring members of the Intel® Builders programs, Intel experts, and industry analysts, this recurring podcast series provides information on delivering, deploying, and managing cloud computing, technology, and services in the data center and enterprise.

Building a Data Lake for Deep Learning with Activeloop - Episode 289

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