https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Sat, 16 May 2026 00:00:00 GMT https://www.youngju.dev/blog/culture/2026-05-16-edge-ai-tinyml-2026-litert-executorch-edge-impulse-jetson-coral-hailo-sipeed-k230-llama-cpp-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-edge-ai-tinyml-2026-litert-executorch-edge-impulse-jetson-coral-hailo-sipeed-k230-llama-cpp-deep-dive.en A full-stack map of the 2026 Edge AI / TinyML ecosystem — the dual standard formed after TFLite Micro was rebranded as LiteRT and ExecuTorch reached GA, the TinyML cloud workflow created by Edge Impulse, the accelerator showdown between NVIDIA Jetson Orin Nano/NX/Thor/AGX and Coral Dev Board, the rise of Israeli Hailo-15/8 and Chinese Sipeed K230 (RISC-V + NPU), the SBC standardization of Rockchip RK3588, MaixPy / Arduino Nano 33 BLE Sense / Seeed Wio AI, MicroPython for ML, and on-phone MLC LLM / llama.cpp / Whisper.cpp / GGUF — covering Phi-3/3.5/4, Gemma 2/3, Llama 3.2 1B/3B — and how IoT / mobile / automotive engineers should pick tools in the age of Always-on AI, including case studies from Korea (ETRI / Samsung / LG) and Japan (Sony AI / NTT). Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) edge-aitinymltflite-microlitertexecutorchedge-impulsejetson-orincoral-dev-boardhailosipeed-k230rockchip-rk3588maixpymicropython-mlonnx-runtime-mobilecore-mltensorrtapache-tvmmlc-llmwhisper-cppllama-cppggufphi-3phi-4gemmallama-3-22026deep-diveenglish https://www.youngju.dev/blog/culture/2026-05-16-edge-ai-tinyml-2026-litert-executorch-edge-impulse-jetson-coral-hailo-sipeed-k230-llama-cpp-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-edge-ai-tinyml-2026-litert-executorch-edge-impulse-jetson-coral-hailo-sipeed-k230-llama-cpp-deep-dive.ja 2026 年のエッジ AI / TinyML エコシステムをフルスタックで俯瞰 — TFLite Micro が LiteRT へリブランドされ ExecuTorch が GA となって形成された二大標準、Edge Impulse が築いた TinyML クラウドワークフロー、NVIDIA Jetson Orin Nano/NX/Thor/AGX と Coral Dev Board のアクセラレータ対決、イスラエルの Hailo-15/8 と中国の Sipeed K230(RISC-V+NPU)の台頭、Rockchip RK3588 の SBC 標準化、MaixPy / Arduino Nano 33 BLE Sense / Seeed Wio AI、ML 向け MicroPython、そしてスマホ上で動く MLC LLM / llama.cpp / Whisper.cpp / GGUF — Phi-3/3.5/4、Gemma 2/3、Llama 3.2 1B/3B まで — Always-on AI の時代に IoT / モバイル / 自動車エンジニアがどう道具を選ぶべきかを、韓国(ETRI / Samsung / LG)と日本(Sony AI / NTT)の事例とともにまとめます。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) edge-aitinymltflite-microlitertexecutorchedge-impulsejetson-orincoral-dev-boardhailosipeed-k230rockchip-rk3588maixpymicropython-mlonnx-runtime-mobilecore-mltensorrtapache-tvmmlc-llmwhisper-cppllama-cppggufphi-3phi-4gemmallama-3-22026deep-dive日本語 https://www.youngju.dev/blog/culture/2026-05-16-edge-ai-tinyml-2026-litert-executorch-edge-impulse-jetson-coral-hailo-sipeed-k230-llama-cpp-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-edge-ai-tinyml-2026-litert-executorch-edge-impulse-jetson-coral-hailo-sipeed-k230-llama-cpp-deep-dive 2026년 엣지 AI / TinyML 생태계의 풀스택 지도 — TFLite Micro 가 LiteRT 로 리브랜드된 후 ExecuTorch 가 GA 가 되며 형성된 듀얼 표준, Edge Impulse 가 만든 TinyML 클라우드 워크플로, NVIDIA Jetson Orin Nano/NX/Thor/AGX 와 Coral Dev Board 의 가속기 격돌, 이스라엘 Hailo-15/8 과 중국 Sipeed K230(RISC-V+NPU) 의 부상, Rockchip RK3588 의 SBC 표준화, MaixPy/Arduino Nano 33 BLE Sense/Seeed Wio AI, MicroPython for ML, 그리고 폰 위에서 도는 MLC LLM / llama.cpp / Whisper.cpp / GGUF — Phi-3/3.5/4, Gemma 2/3, Llama 3.2 1B/3B 까지 — Always-on AI 의 시대에 IoT / 모바일 / 자동차 엔지니어가 어떤 도구를 어떻게 골라야 하는지 한국(ETRI/삼성/LG)과 일본(Sony AI/NTT) 사례까지 모두 정리합니다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) edge-aitinymltflite-microlitertexecutorchedge-impulsejetson-orincoral-dev-boardhailosipeed-k230rockchip-rk3588maixpymicropython-mlonnx-runtime-mobilecore-mltensorrtapache-tvmmlc-llmwhisper-cppllama-cppggufphi-3phi-4gemmallama-3-22026deep-dive