Search results：Edge

9 results

Domestic Dark Horse Local Large Model StartLux-27B Faces DeepSeek Head-On, Pioneering a New Era of Edge AI

CAICT report shows StartLux-V1.0-27B-Preview, a local LLM by Shanghai StartLux, ranked 2nd in trusted AI MCP test with 27B params, surpassing DeepSeek-V4-Flash and approaching DeepSeek-V4-Pro capability. Tests covered navigation and web scenarios.....

15 hr ago11.7K

NVIDIA Acquires Hugging Face for $1.29 Billion, Open-Source AI Foundation Joins the Computing Empire

Nvidia plans to acquire Hugging Face for $12.9B. Hugging Face has ~$150M annual revenue and is near profitability; the bid is ~80x revenue. Closed-source labs are reducing reliance on Nvidia hardware; OpenAI partners with Broadcom on custom chips. Nvidia pledged $26B over 5 years for open-source models to capture the ecosystem.....

4 days ago21.2K

Compressed from 3.3GB to 440MB! How does Tencent Hunyuan's ultra-low bit translation model achieve near-zero loss?

Tencent Hunyuan compressed a 1.8B edge-side translation model to hundreds of megabytes, achieving near-zero loss in translation quality, and has been applied to real-time translation of B站 live chat messages, supporting high-concurrency real-world applications. The model supports mutual translation among 33 languages, and its translation quality leads among models of the same size.

4 days ago15.9K

Artificial Analysis Collaborates with Liquid AI to Release Mobile AI Benchmark: The Ranking of 8GB Internal Model Performance on iPhone 17 Pro Has Been Revealed

Artificial Analysis collaborates with Liquid AI to release a mobile-side local AI performance benchmark, focusing on the real performance of the iPhone 17 Pro. The former tests intelligence level, while the latter tests reasoning performance, covering five categories: function calls, instruction following, knowledge cognition, difficult questions, and mathematics. The test objects are edge-side models quantized to 4 bits with a volume not exceeding 8GB, aiming to verify that small models can also achieve high-level intelligence.

5 days ago16.4K

Microsoft CEO Nadella: Enterprises Cannot Rely on a Single AI Model, Otherwise They May Fail to Survive

Microsoft CEO Nadella warns enterprises relying on a single AI model risk survival. He says corporate knowledge, prompts, interaction logs, and AI-use metadata are core assets that must stay in-house to avoid vendor/model lock-in. Unlike consumer use, enterprises must keep knowledge assets internal and protect them as AI deepens into business processes.....

6 days ago12.6K

Nadella Warns Enterprises: Don't Put All Your Token Capital on a Single Model, Be Cautious of Being Outsourced

Microsoft CEO Nadella warns that relying on a single AI model outsources knowledge and thinking to vendors, risking independence. Using AI contributes data and vision to improve models. Enterprises should keep "token capital" internal; unlike consumers, they must control ongoing knowledge.....

6 days ago13.3K

Xiaomi Releases Xuanjie O100 Chip, With the Highest Edge-side Large Model Inference Speed of 330 TPS

Xiaomi unveiled its first on-device LLM AI accelerator chip, Xuanjie O100. Built on 6nm wafer-level vertical stacking and hybrid bonding with 1.4μm pitch, it delivers 1.22TB/s bandwidth—16x that of flagship phones—and up to 330 TPS inference, boosting on-device LLM throughput and reasoning.....

08-2427.2K

A Major Shift in Edge AI: vivo Blue Mind Ranks First in Mobile Large Models, 3B Parameter Model Performance Approaches Cloud Giants

SuperCLUE's on-device LLM benchmark: vivo BlueLM3.5 Nano 3B ranks first with 89.86, nearing cloud models like Google Gemini3.6 Flash, Doubao Seed2.1 Pro, and Qwen3.8 Max, showing on-device breakthrough.....

08-2410.1K

LFM2.5 DSpark Draft Model Release: Inference Speed Up to 3.18 Times Faster

Liquid AI and Hugging Face release LFM2.5 DSpark draft model checkpoints: 1.2B Instruct, 2.6B, and 8B-A1B. A new speculative decoding path boosts inference throughput up to 3.18x on GPU without changing output quality, with significant speedups on edge devices.....

08-2124.7K