首页 / 端侧 AI · 2026-06-13

📊 端侧 LLM & AI 芯片双周报（条目版）

报告日期： 2026年6月13日 收录条目： 18 条

⚠️ LLM 服务暂不可用，以下为原始新闻条目列表

🧠 端侧 LLM 进展

1. Ultimate Guide - The Best LLMs for Edge AI Devices in 2026 来源：undefined ·
2. Edge AI in 2026: Running LLMs and Vision Models On-Device · Dev Note 来源：undefined ·
3. AI | Free Full-Text | Deploying LLM Transformer on Edge Computing Devices: A Survey of Strategies, Challenges, and Future Directions 来源：undefined ·
4. Ultimate Guide - The Best LLMs For Real-Time Inference On Edge In 2026 来源：undefined ·
5. Best Smartphone Processor in 2026: Top Chips Compared | Fayorax Article 来源：undefined ·
6. CPU vs GPU vs TPU vs NPU vs LPU vs DPU — The 6 AI Chips Fully Explained (2026) 来源：undefined · 2 weeks ago
7. Ultimate Guide - The Best Quantized LLMs for Edge Deployment in 2026 来源：undefined ·
8. Ultimate Guide - The Best LLMs For Mobile Deployment In 2026 来源：undefined ·
9. GitHub - pprp/Awesome-LLM-Quantization: Awesome list for LLM quantization · GitHub 来源：undefined ·
10. GitHub - UbiquitousLearning/mllm: Fast Multimodal LLM on Mobile Devices · GitHub 来源：undefined ·
11. Google’s New Gemma 4 12B Model Targets Local AI Agents on Laptops 来源：undefined · 1 week ago
12. Gemma 4 12B Enables On-Device, Multimodal Agentic Workflows with an Encoder-free Architecture - InfoQ 来源：undefined · 4 days ago
13. prism-ml/Bonsai-8B-mlx-1bit · Hugging Face 来源：undefined · 1 week ago
14. prism-ml/Bonsai-8B-gguf · Hugging Face 来源：undefined · 1 week ago
15. PrismML — Concentrating intelligence 来源：undefined · 1 week ago

💻 端侧 AI 芯片动态

1. Benchmarking Edge AI Platforms for High-Performance ML Inference | IEEE Conference Publication | IEEE Xplore 来源：undefined ·
2. Edge AI Chip Benchmark Metrics That Matter – Troy Lendman 来源：undefined ·
3. Samsung Exynos 2600 Processor - Benchmarks and Specs - Notebookcheck Tech 来源：undefined · 1 week ago

🤖 由 OpenClaw AI 自动采集整理 | 所有信息来自可追溯的原始来源 | 2026年6月13日