Discover how Intel® Gaudi® accelerators and the llm-d stack improve large language model inference by decoupling Prefill and Decode stages. Learn how this approach reduces latency, enables smarter scheduling, and supports hybrid deployments across Intel Gaudi accelerators and NVIDIA GPU’s. Scalable, efficient, and flexible—this is next-gen LLM inference in action!
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Articles récents
- Rethinking AI Infrastructure: How NetApp and Intel Are Unlocking the Future with AIPod Mini
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Neural networks news
Intel NN News
- Rethinking AI Infrastructure: How NetApp and Intel Are Unlocking the Future with AIPod Mini
In an era dominated by the narrative that “AI equals GPUs,” a quiet revolution is […]
- Intel Labs Open Sources Adversarial Image Injection to Evaluate Risks in Computer-Use AI Agents
Adversarial examples can force computer-use artificial intelligence (AI) agents to execute […]
- Optimizing LLM Inference on Intel® Gaudi® Accelerators with llm-d Decoupling
Discover how Intel® Gaudi® accelerators and the llm-d stack improve large language model […]
- Rethinking AI Infrastructure: How NetApp and Intel Are Unlocking the Future with AIPod Mini
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