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Author Archives: George Leopold

George Leopold

George Leopold has written about science and technology for more than 30 years, focusing on electronics and aerospace technology. He previously served as executive editor of Electronic Engineering Times. Leopold is the author of "Calculated Risk: The Supersonic Life and Times of Gus Grissom" (Purdue University Press, 2016).

Kubernetes Gets a Runtime Security Tool

January 8th, 2020 Comments Off on Kubernetes Gets a Runtime Security Tool
As more enterprise users deploy Kubernetes as their preferred container orchestrator, momentum is building to lock down security on vulnerable hybrid cloud deployments. The latest step comes in the form of a runtime security tool dubbed Falco accepted this ...

VMware Eyes Storage Options for Kubernetes

January 6th, 2020 Comments Off on VMware Eyes Storage Options for Kubernetes
VMware continues to move closer to Kubernetes-based containers for managing virtual machines and other cloud infrastructure, reflecting the growing consensus the cluster orchestrator represents a more agile form of virtualization. The server virtualization leader (NYSE: VMW) signaled its shift ...

ARPA-E Brings ML to Power System Design

December 20th, 2019 Comments Off on ARPA-E Brings ML to Power System Design
The U.S. Energy Department’s research arm is leveraging machine learning technologies to simplify the design process for energy systems ranging from photovoltaics and wind turbines to aircraft engine compressors. The Advanced Research Projects Agency-Energy, or ARPA-E, last month announced ...

MLOps Initiatives Seek to Boost Stalled Deployments

December 18th, 2019 Comments Off on MLOps Initiatives Seek to Boost Stalled Deployments
The deployment of machine learning models in production is failing to keep pace with the everyday operations of hyper-scalers. Those scaling and deployment gaps are being addressed through collaborations and a new batch of DevOps tools tuned to scaling ...

Intel’s Habana Deal Expands AI Reach to Edge

December 16th, 2019 Comments Off on Intel’s Habana Deal Expands AI Reach to Edge
Intel continues to expand its push into AI silicon with the acquisition of Israeli-based Habana Labs, a specialist in deep learning accelerators for datacenters—a capability Intel hopes to extend to the network edge. The acquisition announced by Intel on ...

Enterprise ML Moves Slowly Up the Value Chain

December 12th, 2019 Comments Off on Enterprise ML Moves Slowly Up the Value Chain
While developers are moving up the machine-learning learning curve, a vendor survey finds they still have a way to go in scaling ML deployments. Algorithmia’s annual survey of the state of enterprise machine learning technology released on Thursday (Dec. ...

Cisco Aims Chips, Optical Links at Next-Gen Internet

December 11th, 2019 Comments Off on Cisco Aims Chips, Optical Links at Next-Gen Internet
Cisco Systems unveiled its networking framework of the future this week aimed at scaling internet performance for emerging enterprise workloads like AI and machine learning along with network routers for Internet of Things and other 5G-driven applications and services. ...

Is It ‘Do-or-Die’ for AI-Driven Digital Innovation?

December 11th, 2019 Comments Off on Is It ‘Do-or-Die’ for AI-Driven Digital Innovation?
A wholesale shift is underway to agile IT microservices as enterprises look to stay a step ahead of emerging business models along with the distributed applications and services that are driving a broad-based digital transformation. A key to that ...

Kubernetes Gets a GPU Boost

December 9th, 2019 Comments Off on Kubernetes Gets a GPU Boost
An infrastructure vendor zeroing in on AI and machine learning workloads has added GPU support to a Kubernetes-based appliance designed to handle those emerging applications in containers while adding GPU horsepower to scale in-house workloads to the cloud. Diamanti, ...

Emerging AI Business Model Promotes Distributed ML

December 6th, 2019 Comments Off on Emerging AI Business Model Promotes Distributed ML
Pausing at the end of 2019 to take stock of where enterprise AI stands, a new business model floated over the last year encourages distributed model training through the sharing of data. Depending on the project, the critical question ...
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