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-mlops-platforms-mlflow-kubeflow-wandb-vertex-sagemaker-databricks-bentoml-ray-2026-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-mlops-platforms-mlflow-kubeflow-wandb-vertex-sagemaker-databricks-bentoml-ray-2026-deep-dive.en A side-by-side look at 30+ MLOps platforms in May 2026. MLflow 3, Kubeflow 1.10, Weights & Biases, Comet, Neptune.ai, ClearML, Vertex AI, SageMaker, Azure ML, Databricks ML + Mosaic AI, Hugging Face Inference Endpoints, Determined, Anyscale + Ray Train, BentoML, Modal, RunPod, Replicate, Fireworks AI, Together AI, Lamini, Predibase, Argilla, Galileo, Arize, WhyLabs, Fiddler, TruEra, DagsHub, DVC, lakeFS, ZenML, Metaflow, Flyte, Prefect ML, Airflow ML — experiment tracking, model registry, serving, drift monitoring, LLM eval, and GPU economics all in one piece. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) mlopsmlflowkubeflowweights-and-biasesvertex-aisagemakerdatabricksbentomlraymodalhuggingfacemodel-servingexperiment-trackingllm-ops https://www.youngju.dev/blog/culture/2026-05-16-mlops-platforms-mlflow-kubeflow-wandb-vertex-sagemaker-databricks-bentoml-ray-2026-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-mlops-platforms-mlflow-kubeflow-wandb-vertex-sagemaker-databricks-bentoml-ray-2026-deep-dive.ja 2026年5月時点のMLOpsプラットフォーム30種を一気に比較する。MLflow 3、Kubeflow 1.10、Weights & Biases、Comet、Neptune.ai、ClearML、Vertex AI、SageMaker、Azure ML、Databricks ML + Mosaic AI、Hugging Face Inference Endpoints、Determined、Anyscale + Ray Train、BentoML、Modal、RunPod、Replicate、Fireworks AI、Together AI、Lamini、Predibase、Argilla、Galileo、Arize、WhyLabs、Fiddler、TruEra、DagsHub、DVC、lakeFS、ZenML、Metaflow、Flyte、Prefect ML、Airflow ML——実験トラッキング、モデルレジストリ、サービング、ドリフト監視、LLM eval、GPUコストまで一本の記事にまとめる。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) mlopsmlflowkubeflowweights-and-biasesvertex-aisagemakerdatabricksbentomlraymodalhuggingfacemodel-servingexperiment-trackingllm-ops https://www.youngju.dev/blog/culture/2026-05-16-mlops-platforms-mlflow-kubeflow-wandb-vertex-sagemaker-databricks-bentoml-ray-2026-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-mlops-platforms-mlflow-kubeflow-wandb-vertex-sagemaker-databricks-bentoml-ray-2026-deep-dive 2026년 5월 기준 MLOps 30여 개 플랫폼을 한 번에 비교한다. MLflow 3, Kubeflow 1.10, Weights & Biases, Comet, Neptune.ai, ClearML, Vertex AI, SageMaker, Azure ML, Databricks ML + Mosaic AI, Hugging Face Inference Endpoints, Determined, Anyscale + Ray Train, BentoML, Modal, RunPod, Replicate, Fireworks AI, Together AI, Lamini, Predibase, Argilla, Galileo, Arize, WhyLabs, Fiddler, TruEra, DagsHub, DVC, lakeFS, ZenML, Metaflow, Flyte, Prefect ML, Airflow ML까지 — 실험 추적·모델 레지스트리·서빙·드리프트 모니터링·LLM eval·GPU 비용까지 한 글로 정리한다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) mlopsmlflowkubeflowweights-and-biasesvertex-aisagemakerdatabricksbentomlraymodalhuggingfacemodel-servingexperiment-trackingllm-ops