Events

Join Us at Computex 2024 in Taipei!

Dear all, Visit Skymizer at Booth No. M1433a, Nangang Hall-1 4F, and discover our groundbreaking on-device LLM inferencing Chip IP, EdgeThought and Software SDK, SkyGenie. Unlock the potential to build your own AI business agents locally. Don’t miss this opportunity to revolutionize your AI capabilities! EdgeThought is compatible with Hugging Face and Nvidia. It supports […]

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ISES Taiwan 2023

From Hyperscale Models to Heterogeneous SoCs: Industrializing Neural Network Deployment with ONNCLarge language models (LLMs) have become an increasingly prominent feature in various computing platforms, such as data centers, smartphones, and microcontrollers. As such, their potential applications in both human-to-machine interfaces (HMIs) and machine-to-machine interfaces (M2MI) have been extensively studied and discussed. However, implementing hyper-scale […]

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AI EXPO Taiwan 2023

從大型 AI 模型落地到複雜多核心晶片 – 從 ONNC 編譯器來看類神經網路的工業化 從大型 AI 模型落地到複雜多核心晶片 – 從 ONNC 編譯器來看類神經網路的工業化日期 : 4/20 11:00-11:20 @ 華山文創中心 不知講堂 軟硬體界限不再：超大型AI加速器的系統軟體 ONNC日期 : 4/20 15:45-16:00 @ 華山文創中心 未來舞台 https://www.digitimes.com.tw/ai_expo_2023/

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TISES 2021

Anchors While Both Hardware and Software are Changing in AI Semiconductor The global AI market has grown at 35.6% annual CAGR during forecast period of 2021-2026. It creates strong demands for the semiconductor industry. AI semiconductor is forecast to be $7.1 billion by 2025, growing by a five-year CAGR of 25.29%. More than 3x faster […]

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20′ ISCA Tutorial – ONNC Compiler Porting and Optimization for NVDLA-Based Neural Network Inference Engines

ONNC Compiler Porting and Optimization for NVDLA-Based Neural Network Inference Engines Date:8:00am-11:00am (Taipei Time) Saturday, May 308:00pm-11:00pm (New York Time) Friday, May 29Location: Virtual ConferenceJoin ISCA event Whova Portal: https://whova.com/portal/webapp/aisca_202004/ Abstract The NVIDIA Deep Learning Accelerator provides free intellectual property licensing to anyone wanting to build a chip that uses deep neural networks for inference […]

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