Neuroevolution-Enhanced Multi-Objective Optimization (NEMO) for Mixed-Precision Quantization delivers state-of-the-art compute speedups and memory improvements for artificial intelligence (AI) applications.
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Intel NN News
- Accelerating Llama 3.3-70B Inference on Intel® Gaudi® 2 via Hugging Face Text Generation Inference
Learn how to deploy Llama 3.3-70B on Intel® Gaudi® 2 AI accelerators using Hugging Face TGI, with […]
- Exploring Vision-Language Models (VLMs) with Text Generation Inference on Intel® Data Center GPU Max
Supercharge VLM deployment with TGI on Intel XPUs. This guide shows how to set up, optimize, and […]
- Evaluating Trustworthiness of Explanations in Agentic AI Systems
Intel Labs research published at the ACM CHI 2025 Human-Centered Explainable AI Workshop found that […]
- Accelerating Llama 3.3-70B Inference on Intel® Gaudi® 2 via Hugging Face Text Generation Inference
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