insideHPC

Machine Learning Deployment Options: in the Cloud vs. at the Edge

In this special guest feature, Neil Cohen, Vice President at Edge Intelligence, examines the question: where should businesses develop and execute machine learning? This article explores the pros and ...
insideHPC

The Data Disconnect: A Key Challenge for Machine Learning Deployment

With so many machine learning projects failing to launch – never achieving model deployment – the ML team has got to do everything in their power to anticipate any impediments to model ...
Semiconductor Engineering

Inference Framework For Deployment Challenges of Large Generative Models On GPUs (Google)

A new technical paper titled “Scaling On-Device GPU Inference for Large Generative Models” was published by researchers at Google and Meta Platforms. “Driven by the advancements in generative AI, ...
InfoWorld

Machine learning: The deplorable state of deployment

We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification models, ...
Geeky Gadgets

What is Vertex AI by Google machine learning (ML) platform?

Vertex AI is a comprehensive machine learning platform by Google Cloud, provides an all-inclusive suite of tools and resources for the creation, deployment, and customization of machine learning ...