LLM Compression & Model Optimization
Interactive demo•3 mins• Red Hat OpenShift
게시됨 May 13, 2025
Large language models (LLMs) can require significant compute and memory resources. This interactive experience highlights the LLM Compressor, a Red Hat AI capability that helps optimize models for inference by reducing hardware requirements and improving efficiency.
Note: This demo may contain AI-generated content and/or media. All AI-generated content was reviewed or edited by a human before being made available to you.
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Next steps
- Learn more about Red Hat OpenShift AI
- Explore the broader Red Hat AI portfolio
- Read developer guidance: Optimize LLMs with the LLM Compressor on OpenShift AI
- Explore deployment patterns: Optimize LLMs for low-latency deployments with the LLM Compressor
- Check out the Red Hat blog: LLM compression and optimization: Cheaper inference with fewer hardware resources
- Visit Red Hat Developer resources
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