# AI Platforms/Deployment

Published articles for AI Platforms/Deployment.

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## How to Carry User Identity Across Federated Kubernetes and AI Platforms

DevFeed: [How to Carry User Identity Across Federated Kubernetes and AI Platforms](<https://devfeed.tech/articles/how-to-carry-user-identity-across-federated-kubernetes-and-ai-platforms-6845.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/how-to-carry-user-identity-across-federated-kubernetes-and-ai-platforms/>)

Author: Elizabeth Goodman

Published: 2026-09-03T22:36:02Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [AI Platform](<https://devfeed.tech/topics/ai-platform.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>)

Tags: [ai-platform](<https://devfeed.tech/tags/ai-platform.md>), [ai-platforms-deployment](<https://devfeed.tech/tags/ai-platforms-deployment.md>), [api](<https://devfeed.tech/tags/api.md>), [aws](<https://devfeed.tech/tags/aws.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cloud-services](<https://devfeed.tech/tags/cloud-services.md>), [data](<https://devfeed.tech/tags/data.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [identity](<https://devfeed.tech/tags/identity.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [software-defined-data-center](<https://devfeed.tech/tags/software-defined-data-center.md>)

### AI overview

The article presents a central identity-gateway pattern for carrying user identity across federated Kubernetes, data, and AI platforms. It uses OIDC, a shared session store, stateless data-plane gateways, and an identity-validation API to establish trusted local identity context without distributing raw tokens to every application.

### Source excerpt

Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, open a governed dataset, launch a notebook...

## Mastering Agentic Techniques: AI Agent Reinforcement Learning

DevFeed: [Mastering Agentic Techniques: AI Agent Reinforcement Learning](<https://devfeed.tech/articles/mastering-agentic-techniques-ai-agent-reinforcement-learning-6879.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/mastering-agentic-techniques-ai-agent-reinforcement-learning/>)

Author: Elizabeth Goodman

Published: 2026-07-01T17:04:02Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>), [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-platforms-deployment](<https://devfeed.tech/tags/ai-platforms-deployment.md>), [featured](<https://devfeed.tech/tags/featured.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [nemo](<https://devfeed.tech/tags/nemo.md>), [nemotron](<https://devfeed.tech/tags/nemotron.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [rag](<https://devfeed.tech/tags/rag.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [rlhf](<https://devfeed.tech/tags/rlhf.md>), [rlvr](<https://devfeed.tech/tags/rlvr.md>), [tool](<https://devfeed.tech/tags/tool.md>)

### AI overview

A guide to using reinforcement learning with verifiable rewards to post-train language models for specialized, long-running AI agents. It explains when prompting, RAG, tools, and agent harnesses are insufficient, and describes reward signals based on verifiers, execution, validation, models, and human feedback.

### Source excerpt

Reinforcement learning (RL) is central to aligning language models, from reinforcement learning with human feedback (RLHF) within AI assistants to newer...