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-ai-inference-engines-2026-vllm-sglang-llama-cpp-tgi-tensorrt-llm-mlx-mistralrs-deepspeed-aphrodite-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-ai-inference-engines-2026-vllm-sglang-llama-cpp-tgi-tensorrt-llm-mlx-mistralrs-deepspeed-aphrodite-deep-dive.en In 2026, LLM engineering is no longer about which model — it is about which inference engine. We dissect vLLM V1, SGLang 0.4, TensorRT-LLM, TGI 3.x, llama.cpp, MLX-LM, mistral.rs, DeepSpeed-MII, Aphrodite, CTranslate2, ExLlamaV3, OpenVINO, AWS Neuron, Triton — 10+ engines through the lens of PagedAttention, Continuous Batching, Speculative Decoding, Disaggregated Inference, KV quantization, NIM, and Groq LPU. Plus self-hosting ROI math and Korean/Japanese inference infrastructure. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) llm-inferencevllmsglangllama-cpptgitensorrt-llmmlxmistral-rsdeepspeedaphroditeinferenceenglish https://www.youngju.dev/blog/culture/2026-05-16-ai-inference-engines-2026-vllm-sglang-llama-cpp-tgi-tensorrt-llm-mlx-mistralrs-deepspeed-aphrodite-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-ai-inference-engines-2026-vllm-sglang-llama-cpp-tgi-tensorrt-llm-mlx-mistralrs-deepspeed-aphrodite-deep-dive.ja 2026 年の LLM エンジニアリングはもうモデル選定の問題ではなく、エンジン選定の問題になった。vLLM V1、SGLang 0.4、TensorRT-LLM、TGI 3.x、llama.cpp、MLX-LM、mistral.rs、DeepSpeed-MII、Aphrodite、CTranslate2、ExLlamaV3、OpenVINO、AWS Neuron、Triton — 10 以上のエンジンを PagedAttention・Continuous Batching・Speculative Decoding・Disaggregated Inference・KV 量子化・NIM・Groq LPU の観点から横並びで比較する。セルフホスト ROI 計算と日韓の推論インフラまで。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) llm-inferencevllmsglangllama-cpptgitensorrt-llmmlxmistral-rsdeepspeedaphroditeinference日本語 https://www.youngju.dev/blog/culture/2026-05-16-ai-inference-engines-2026-vllm-sglang-llama-cpp-tgi-tensorrt-llm-mlx-mistralrs-deepspeed-aphrodite-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-ai-inference-engines-2026-vllm-sglang-llama-cpp-tgi-tensorrt-llm-mlx-mistralrs-deepspeed-aphrodite-deep-dive 2026년 LLM 추론은 더 이상 모델 선택의 문제가 아니라 엔진 선택의 문제가 됐다. vLLM V1, SGLang 0.4, TensorRT-LLM, TGI 3.x, llama.cpp, MLX-LM, mistral.rs, DeepSpeed-MII, Aphrodite, CTranslate2, ExLlamaV3, OpenVINO, AWS Neuron, Triton — 10개+ 엔진을 PagedAttention·Continuous Batching·Speculative Decoding·Disaggregated Inference·KV 양자화·NIM·Groq LPU 관점에서 한 줄로 비교한다. 자가 호스팅 ROI 계산과 한국·일본 추론 인프라까지. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) llm-inferencevllmsglangllama-cpptgitensorrt-llmmlxmistral-rsdeepspeedaphroditeinference