Scaling AI/ML deployments can be resource-limited and administratively complex while requiring expensive resources for hardware acceleration. Popular cloud platforms offer scalability and attractive tool sets, but those same tools often lock users in, limiting architectural and deployment choices. With Red Hat® OpenShift® Data Science (RHODS), data scientists and developers can rapidly develop, train, test, and iterate ML and DL models in a fully supported environment—without waiting for infrastructure provisioning. Red Hat OpenShift Service on AWS (ROSA) which is a turnkey application platform that provides a managed application platform service running natively on Amazon Web Services (AWS).
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Neural networks news
Intel NN News
- Practical Deployment of LLMs for Network Traffic Classification
EXECUTIVE SUMMARYThe integration of Generative AI and Large Language Models (LLMs) into network […]
- Intel Labs Presents Latest Machine Learning Research Among Eight Papers at ICML 2025
Intel Labs is excited to present six works at this year's ICML conference in Vancouver Canada, […]
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
Souvik Kundu is a Staff Research Scientist at Intel Labs, leading scalable and efficient AI […]
- Practical Deployment of LLMs for Network Traffic Classification
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