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Home Insights All authors Michael Ionkin
Michael Ionkin

Michael Ionkin

Michael Ionkin is a Senior Machine Learning Engineer at Grid Dynamics. He joined Grid Dynamics in 2018.

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Distributed computing infrastructure with interconnected blocks and data streams in red, green, and amber, representing the hybrid deep learning architecture connecting cloud-based Azure Databricks with on-premises NVIDIA DGX systems for deep learning workloads.
Article
Hybrid deep learning with Azure Databricks and on-prem NVIDIA DGX
AI and data platforms
Artificial intelligence
IoT and edge computing
+2
Article Hybrid deep learning with Azure Databricks and on-prem NVIDIA DGX

Modern enterprises increasingly rely on deep learning to power mission-critical workflows such as global demand forecasting, inventory optimization, supply chain prediction, video-based defect detection, and financial risk modeling. These workloads demonstrate rapidly increasing GPU requirements, g...

AI and data platforms
Artificial intelligence
IoT and edge computing
+2
Add anomaly detection to your data with Grid Dynamics Starter Kit
Article
Add anomaly detection to your data with Grid Dynamics starter kit
Artificial intelligence
IoT and edge computing
+1
Article Add anomaly detection to your data with Grid Dynamics starter kit

Modern businesses in e-commerce, banking, insurance, manufacturing and many other areas generate huge amounts of data every day. Effectively utilizing that data helps increase business value by making the right decisions at the right time based on insights generated from targeted data analytics....

Artificial intelligence
IoT and edge computing
+1

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