Building a Data Lake for Deep Learning with Activeloop – Conversations in the Cloud – Episode 289

January 9th, 2023 | | 17:10
Image for FaceBook

 
Share this post:
Facebook | Twitter | Google+ | LinkedIn | Pinterest | Reddit | Email
 
This post can be linked to directly with the following short URL:


 
The audio player code can be copied in different sizes:
144p, 240p, 360p, 480p, 540p, Other


 
The audio player code can be used without the image as follows:


 
This audio file can be linked to by copying the following URL:


 
Right/Ctrl-click to download the audio file.
 
Subscribe:
Connected Social Media - iTunes | Spotify | Google | Stitcher | TuneIn | Twitter | RSS Feed | Email
Intel - iTunes | Spotify | RSS Feed | Email
Intel Conversations in the Cloud - iTunes | Spotify | RSS Feed | Email
 

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:
deeplake.ai/whitepaper

Deep Lake Academic Paper:
arxiv.org/pdf/2209.10785.pdf

Deep Lake GitHub Repository:
github.com/activeloopai/deeplake

Deep Lake Datasets:
datasets.activeloop.ai/docs/ml/datasets/

Tags: , , , , , , , , , ,
 
Posted in: Artificial Intelligence, Audio Podcast, Cloud Computing, Intel, Intel Conversations in the Cloud