首页 / 端侧 AI · 2026-05-11

📊 端侧 LLM & AI 芯片双周报

报告日期： 2026年5月11日 数据周期： 2025.10.08 - 2026.05.10 信息来源： www.siliconflow.com、www.edge-ai-vision.com、www.mdpi.com、zylos.ai、sensory.com、AIToolly、v-chandra.github.io、tech.news.am、localaimaster.com、dl.acm.org、openreview.net、www.techbuddies.io、medium.com、AIMultiple、www.patsnap.com、www.stanfordtechreview.com、developers.googleblog.com、huggingface.co、blog.google、ai.google.dev、codersera.com、android-developers.googleblog.com、prismml.com、www.theregister.com、www.forbes.com、github.com、MacRumors.com、TechnoSports Media Group、24/7 Wall Street、juatechafrica.com、www.fayorax.com、techticker.fyi、www.cnbc.com、techcrunch.com、fortune.com、decrypt.co、www.reuters.com、www.business-standard.com、thenextweb.com、Gotrade、semiconductor.samsung.com、TrendForce、wccftech.com、nanoreview.net、www.notebookcheck.net、www.igorslab.de、www.androidcentral.com 收录条目： LLM 36 条 · 芯片 21 条

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🔥 本期摘要

Ultimate 指南 - The 最佳 LLMs for Edge AI 设备 in 2026 Discover 2026's 最佳 LLMs for edge AI 设备: 1. Meta-Llama-3.1-8B-Instruct; 2. GLM-4-9B-0414; 3. Qwen2.5-VL-7B-Instruct. · 来源：www.siliconflow.com
端侧 LLMs in 2026: What Changed, What Matters, What's Next - Edge AI and Vision Alliance（January 28, 2026） In 端侧 LLMs: State of the Union, 2026, Vikas Chandra and Raghuraman Krishnamoorthi explain why running LLMs on phones has · 来源：www.edge-ai-vision.com
Edge AI & 端侧 LLMs 2026 | Zylos Research（January 10, 2026）新 2026: 英伟达 NVFP4 (60% 内存 save, 3x speed), NVFP8 (40% save, 2x speed) ... NPU ubiquity (80+ TOPS) + automated 量化 tools ( · 来源：zylos.ai
Ultimate 指南 - The 最佳 LLMs For Real-Time 推理 On Edge In 2026 Our top three recommendations for 2026 are Meta Llama 3.1 8B Instruct, THUDM GLM-4-9B-0414, and Qwen/Qwen2.5-VL-7B-Instr · 来源：www.siliconflow.com
10 predictions for Edge AI in 2026: LLMs gain 效率 | Sensory（January 15, 2026） Edge AI predictions for 2026: 端侧 agents, specialized SLMs, hybrid AI, disposable intelligence, 隐私-首个 RAG, AI PCs, and th · 来源：sensory.com
LiteRT-LM: 谷歌's 新 Edge LLM 推理框架 | AIToolly（April 8, 2026） ... 谷歌 has officially introduced LiteRT-LM, a production-ready and high-性能 open-source 推理框架 specifically designed for d · 来源：AIToolly

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🧠 端侧 LLM 进展

▎Accelerating Gemma 4: 更快速推理 with multi-Token prediction drafters 📅 6 days ago · 来源：blog.google Supercharged local development: Run our 26B MoE and 31B Dense 模型 on personal computers and consumer GPUs with unprecedented speed, powering seamless, complex offline coding and agentic workflows. Enhanced 端侧性能: Maximize the utility of our E2B and E4B 模型 on edge 设备 by generating outputs 更快速, which in turn preserves valuable battery life. 🔗 https://blog.google/innovation-and-ai/technology/developers-tools/multi-token-prediction-gemma-4/

▎LiteRT-LM - 谷歌 AI for Developers 📅 1 week ago · 来源：ai.google.dev Supercharge Gemma 4 端侧推理 with Multi-Token Prediction (MTP). 🔗 https://ai.google.dev/edge/litert-lm

▎litert-community/gemma-4-E2B-it-litert-lm · Hugging Face 📅 1 week ago · 来源：huggingface.co Note that if you download this 模型 before May 5, 2026, you should re-download the 模型 if you want to use speculative decoding. litert-community/gemma-4-E2B-it-litert-lm Main Model Card: google/gemma-4-E2B-it This model card provides the Gemma 4 E2B model in a way that is ready for deployment on Android, iOS, Desktop, IoT and 🔗 https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm

▎litert-community/gemma-4-E4B-it-litert-lm · Hugging Face 📅 1 week ago · 来源：huggingface.co Note that if you download this 模型 before May 5, 2026, you should re-download the 模型 if you want to use speculative decoding. litert-community/gemma-4-E4B-it-litert-lm Main Model Card: google/gemma-4-E4B-it This model card provides the Gemma 4 E4B model in a way that is ready for deployment on Android, iOS, Desktop, IoT and 🔗 https://huggingface.co/litert-community/gemma-4-E4B-it-litert-lm

▎Gemma 4 Complete Developer 指南 (2026): Variants, Benchmarks, Apache 2.0, 部署 📅 1 week ago · 来源：codersera.com Gemma 4 dropped that. 上下文窗口: 128K tokens on E2B/E4B; 256K on 26B A4B and 31B. 多模态: all sizes accept text + image; E2B and E4B also accept audio. Strong points: reasoning, math (AIME 2026 ~89%), code generation (LiveCodeBench v6 ~80%), long-context recall, and 端侧部署 via MediaPipe / LiteRT. 📊 89% · 80% 🔗 https://codersera.com/blog/gemma-4-complete-guide-2026/

（共 36 条，此处展示前 5 条）

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💻 端侧 AI 芯片动态

▎高通’s CEO is working with ‘pretty much all’ major AI players on top-secret 设备 | Fortune 📅 1 day ago · 来源：fortune.com AIQualcommQualcomm’s CEO is working with ‘pretty much all’ major AI players on top-secret devices—and powering OpenAI’s first push into hardwareBy Eva RoytburgFellow, NewsMay 9, 2026, 6:26 AM ETAdd us 🔗 https://fortune.com/2026/05/09/qualcomm-smartphone-ai-secret-device-openai-meta-wearables-agents/

▎OpenAI reportedly picks 联发科 over 高通 for its maiden AI 智能手机 | Tech News - Business Standard 📅 1 week ago · 来源：www.business-standard.com According to Kuo, the 设备 may be powered by a customised 联发科芯片, possibly based on the upcoming 天玑 9600. The 芯片 could be built on 台积电’s next-generation N2P process and may be introduced in the 第二代 half of 2026. Access Denied You don't have permission to access "http://www.business-standard.com/technology/tech-news/openai-reportedly-picks-mediatek-over-qualcomm-for-its-maiden-ai-smartphone-126050500730_1.html 🔗 https://www.business-standard.com/technology/tech-news/openai-reportedly-picks-mediatek-over-qualcomm-for-its-maiden-ai-smartphone-126050500730_1.html

▎OpenAI developing AI Agent 智能手机 with 高通 and 联发科, targeting 300-400M annual shipments by 2028 📅 1 week ago · 来源：thenextweb.com Specifications and the supplier list are expected to be finalised by late 2026 or the 首个 quarter of 2027, with mass production targeted for 2028. 高通’s shares surged as much as 13% in premarket trading on the report. 📊 13% 🔗 https://thenextweb.com/news/openai-qualcomm-ai-phone-agents-replace-apps

▎三星 Exynos 2600 处理器 - Benchmarks and Specs - Notebookcheck Tech 📅 1 week ago · 来源：www.notebookcheck.net According to 三星, the 性能 is up to 39% 更好 than its predecessor Exynos 2500. Our benchmarks show a 性能 that is slightly below the 苹果 A18 (e.g. iPhone 16). Samsung Exynos 2600The Samsung Exynos 2600 is an SoC for smartphones and tablets and the first chip that uses the new Samsung 2nm GAA process. 📊 2nm · 39% 🔗 https://www.notebookcheck.net/Samsung-Exynos-2600-Processor-Benchmarks-and-Specs.1270874.0.html

▎高通 Lands OpenAI as AI-Native 智能手机芯片 Customer 📅 2 weeks ago · 来源：Gotrade 高通 has reportedly been picked by OpenAI as the 芯片 supplier for a planned AI-native 智能手机, lifting QCOM stock sharply on April 27, 2026. The 设备, targeted for 2028, is being built with 联发科 and Luxshare and is designed around ... Qualcomm Lands OpenAI as AI-Native Smartphone Chip CustomerRendy AndriyantoGotrade TeamApr 30, 2026Reviewed by Gotrade Internal AnalystGotrade News, Qualcomm has reportedly secured OpenAI as the chip 🔗 https://www.heygotrade.com/en/news/qualcomm-openai-ai-smartphone-chip-deal/

（共 21 条，此处展示前 5 条）

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📊 本期数据亮点

本阶段关键数字（出现≥2次）：13% · 2nm · 40% · 1.15 GB · 8 billion · 9 billion · 7 billion · 16GB · 60% · 80%

括号内为出现频次，所有数字均来自原始报道

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📈 深度分析

本阶段共收录 36 条端侧 LLM 报道、21 条 AI 芯片报道，时间跨度 2025.10.08 - 2026.05.10。以下为基于真实数据的趋势分析：

▎趋势一：端侧 LLM 从「能跑」走向「好用 + 可用 Agent」

Gemma 4: 字节 for 字节, the most 能力强 open 模型（blog.google, April 2, 2026） Explore Gemma 4 in 谷歌 AI Studio (31B and 26B MoE) or in 谷歌 AI Edge Gallery (E4B and E2B). Gemma 4: Byte for byte, the most capable open models Apr 02, 2026 · x.com Facebook LinkedIn Mail Copy link Clement Farabet VP of Research, Google DeepMind Olivier Lacombe Director Product Management,
Accelerating Gemma 4: 更快速推理 with multi-Token prediction drafters（blog.google, 6 days ago） Supercharged local development: Run our 26B MoE and 31B Dense 模型 on personal computers and consumer GPUs with unprecedented speed, powering seamless, complex offline coding and agentic workflows. Enhanced 端侧性能: Maximize the utility of our E2B and E4B 模型 on edge 设备 by generating outputs 更快速, which in turn preserves valuable battery life.
端侧 LLMs: State of the Union, 2026 – Vikas Chandra – AI Research @ Meta（v-chandra.github.io, January 24, 2026） ExecuTorch (Meta) hit 1.0 GA in October 2025, marking production readiness. The runtime has a 50KB base footprint and runs on everything from microcontrollers to high-end smartphones. It supports 12+ hardware backends (苹果, 高通, Arm, 联发科, Vulkan) and over 80% of the most popular edge LLMs on HuggingFace work out of the box.

分析： 24 条相关报道显示，端侧 LLM 正在从「可运行」走向「实用 Agent 阶段」。多步规划、工具调用、离线执行等 Agent 能力成为产品化重点。

▎趋势二：AI 手机芯片进入「定制时代」，2028 年量产可期

三星 Exynos 2700 in an early Geekbench leak: Initial CPU scores suggest validation rather than a final 性能 picture | igor´sLAB（www.igorslab.de, 1 month ago） This very point has already been hinted at in some of the leak reports, but has not yet been officially confirmed by 三星 for the Exynos 2700 itself. That alone is significant because, according to official statements, the Exynos 2600 was once again optimized more heavily for CPU 效率, NPU 性能, and thermal stability.
最佳智能手机处理器 2026: 骁龙 vs 天玑 vs 苹果 Explained for Real Users（juatechafrica.com, 2 weeks ago） TRENDING No Result Explore Intelligence JuaTech Africa Intelligence Brand Intelligence Market Intelligence Industry Intelligence Market Signals Analytica Analytica Report 1 Analytica Report 2 Analytic
OpenAI + 高通 Tie-Up Signals AI 智能手机 Revolution: Should 苹果 Be Worried? - 24/7 Wall St.（24/7 Wall Street, 2 weeks ago） The iPhone 17 series and an accessible iPhone 17e aim to broaden the 苹果 Intelligence installed base in 2026. S&P 500 7,425.10 +0.33% Dow Jones 49,632.00 -0.07% Nasdaq 100 29,343.60 +0.35% Russell 2000 2,880.73 +0.69% FTSE 100 10,249.70 -0.14% Nikkei 225 62,832.70 -1.47% Live Nasdaq Composite: Markets Hold St

分析： 18 条相关报道显示，OpenAI 联合高通/联发科打造 AI-first 定制手机芯片，目标 2028 年量产。高通股价单日涨 13%，AI Agent 将取代 App 成为移动交互层。联发科与高通竞争关系及「双供应商策略」可能性值得持续关注。

▎趋势三：旗舰 NPU 进入 50+ TOPS 时代，三星 2nm 工艺加速落地

三星 Exynos 2700 in an early Geekbench leak: Initial CPU scores suggest validation rather than a final 性能 picture | igor´sLAB（www.igorslab.de, 1 month ago） This very point has already been hinted at in some of the leak reports, but has not yet been officially confirmed by 三星 for the Exynos 2700 itself. That alone is significant because, according to official statements, the Exynos 2600 was once again optimized more heavily for CPU 效率, NPU 性能, and thermal stability.
最佳智能手机处理器 2026: 骁龙 vs 天玑 vs 苹果 Explained for Real Users（juatechafrica.com, 2 weeks ago） TRENDING No Result Explore Intelligence JuaTech Africa Intelligence Brand Intelligence Market Intelligence Industry Intelligence Market Signals Analytica Analytica Report 1 Analytica Report 2 Analytic
OpenAI + 高通 Tie-Up Signals AI 智能手机 Revolution: Should 苹果 Be Worried? - 24/7 Wall St.（24/7 Wall Street, 2 weeks ago） The iPhone 17 series and an accessible iPhone 17e aim to broaden the 苹果 Intelligence installed base in 2026. S&P 500 7,425.10 +0.33% Dow Jones 49,632.00 -0.07% Nasdaq 100 29,343.60 +0.35% Russell 2000 2,880.73 +0.69% FTSE 100 10,249.70 -0.14% Nikkei 225 62,832.70 -1.47% Live Nasdaq Composite: Markets Hold St

分析： 15 条相关报道显示，现代旗舰 NPU 已达 35-50+ TOPS，相比 2017 年 Apple 首款 Neural Engine 算力增长 50-80 倍。端侧推理效率突破 200 TOPS/W，4 年前不足 40 TOPS/W。三星 Exynos 2600（2nm GAA）NPU 性能提升 39%，Exynos 2700 已进入测试，三星正将 NPU 作为旗舰芯片核心卖点。

▎趋势四：量化技术持续突破，端侧部署成本快速下探

Gemma 4: 字节 for 字节, the most 能力强 open 模型（blog.google, April 2, 2026） Explore Gemma 4 in 谷歌 AI Studio (31B and 26B MoE) or in 谷歌 AI Edge Gallery (E4B and E2B). Gemma 4: Byte for byte, the most capable open models Apr 02, 2026 · x.com Facebook LinkedIn Mail Copy link Clement Farabet VP of Research, Google DeepMind Olivier Lacombe Director Product Management,
端侧 LLMs: State of the Union, 2026 – Vikas Chandra – AI Research @ Meta（v-chandra.github.io, January 24, 2026） ExecuTorch (Meta) hit 1.0 GA in October 2025, marking production readiness. The runtime has a 50KB base footprint and runs on everything from microcontrollers to high-end smartphones. It supports 12+ hardware backends (苹果, 高通, Arm, 联发科, Vulkan) and over 80% of the most popular edge LLMs on HuggingFace work out of the box.
Edge AI Hardware & 端侧推理 Silicon 2026 | Stanford Tech Review（www.stanfordtechreview.com, 3 weeks ago） McKinsey’s analyses reinforce the near-term trajectory: 推理 is already a dominant driver of AI compute growth, and by 2030, 推理 workloads are projected to account for a substantial share of total AI compute, with a continued emphasis on edge 部署 to reduce 延迟 and 带宽 constraints.

分析： 24 条相关报道显示，量化技术正从研究走向产品化：1-bit 方案（Bonsai 8B）压缩至 1.15GB，INT4 感知训练结合架构优化，内存和延迟改善 4-6 倍。端侧部署成本正以每年数倍的速度下探，2027-2028 年有望迎来端侧 AI 商用爆发。

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📚 信息来源

• www.siliconflow.com • www.edge-ai-vision.com • www.mdpi.com • zylos.ai • sensory.com • AIToolly • v-chandra.github.io • tech.news.am • localaimaster.com • dl.acm.org • openreview.net • www.techbuddies.io • medium.com • AIMultiple • www.patsnap.com • www.stanfordtechreview.com • developers.googleblog.com • huggingface.co • blog.google • ai.google.dev • codersera.com • android-developers.googleblog.com • prismml.com • www.theregister.com • www.forbes.com • github.com • MacRumors.com • TechnoSports Media Group • 24/7 Wall Street • juatechafrica.com • www.fayorax.com • techticker.fyi • www.cnbc.com • techcrunch.com • fortune.com • decrypt.co • www.reuters.com • www.business-standard.com • thenextweb.com • Gotrade • semiconductor.samsung.com • TrendForce • wccftech.com • nanoreview.net • www.notebookcheck.net • www.igorslab.de • www.androidcentral.com

🤖 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5月11日