What’s New In Red Hat AI 3.4? @redhat

Uploaded July 2026 | Updated September 2026, 2 weeks ago

Red Hat AI 3.4 is officially GA, and the release notes are massive. But not to worry, because Sherard Griffin, Senior Director of AI Engineering at Red Hat, summed them up for you.

It has the tools to help you go from an AI model proof of concept to a production-ready platform you can trust with your assets.

Key highlights:
The Model-as-a-Service delivers governance guardrails to manage access and control costs.
The evaluation hub facilitates model and prompt analysis.
AI safety tools help proactively mitigate risks.

Dive deeper into the Red Hat AI 3.4 release blog → redhat.com/en/blog/inference-agentic-ai-scaling-enterprise-foundation-red-hat-ai-34

Want more of the business side of things? → Read our blog on how Red Hat AI 3.4 delivers value: redhat.com/en/blog/moving-poc-production-delivering-real-business-value-red-hat-ai-34

Give it a try → redhat.com/en/products/ai/enterprise/trial

#RedHat #AI #EnterpriseAI

$AI Explained: Reduce GPU costs with LLM Compressor Want to reduce your hardware costs without sacrificing model accuracy? Expert Kyle Sayers joins David to explore the open source LLM Compressor project and explain how model compression lets you run massive models at a fraction of the hardware footprint. ➡️ To learn more and start compressing your own models, visit the LLM Compressor project page: https://github.com/vllm-project/llm-compressor #AIExplained #LLMCompressor #Quantization #MLOps #RedHat #vLLM #AIInference$

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