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Distributed inference with llm-d’s “well-lit paths”
Red Hat   2025-11-19 に公開
  Large language models like DeepSeek-R1 need a large amount of parameters to perform complex tasks, creating the need for a distributed hardware system. Such a system requ   ...more
How to scale with llm-d!
Red Hat   2025-11-18 に公開
  Learn how llm-d uses intelligent routing and cache awareness to improve inference performance. Showing how requests are automatically routed to cached model instances, si   ...more
What's new and what's next for Red Hat AI: Your path to enterprise-ready AI | Q4 2025
Red Hat   2025-11-17 に公開
  Join us for a special Q4 AI product update session of What's New and What's Next, featuring Red Hat AI’s leaders, Joe Fernandes, Steven Huels and the Red Hat AI Product M   ...more
The business value of Red Hat OpenShift AI
Red Hat   2025-11-17 に公開
  Ali Rey, Senior Vice President Technology Platform at Emirates NBD (National Bank of Dubai) highlights the business value of Red Hat OpenShift AI for managing GPU workloa   ...more
Discover how to deploy GPU-as-a-Service with OpenShift AI!
Red Hat   2025-11-14 に公開
  Learn the way to automate GPU allocation, enforce user quotas, and track utilization—all from one administrative console with Red Hat Openshift AI. #redhatai #openshifta   ...more
[vLLM Office Hours #37] InferenceMAX & vLLM - November 13, 2025
Red Hat   2025-11-14 に公開
  We dig into InferenceMAX, an open source continuous inference benchmarking framework that sweeps popular LLMs across hardware and software stacks to track real world thro   ...more