https://curadevops.metacog.co.kr/tags/sagemaker/Recent content in Sagemaker on CuraDevOpsHugoen-usFri, 21 Aug 2026 11:18:28 +0000https://curadevops.metacog.co.kr/insights/2026-08-21-generative-ai-inference-recommendation-for-amazon-sagemaker/Fri, 21 Aug 2026 11:18:28 +0000https://curadevops.metacog.co.kr/insights/2026-08-21-generative-ai-inference-recommendation-for-amazon-sagemaker/<ul> <li><strong>Platform/SRE — Skip</strong></li> <li><strong>CI/CD — Skip</strong></li> <li><strong>Leader — Learn:</strong> For orgs running GenAI workloads on SageMaker, this Studio-based benchmarking experience could meaningfully reduce the time-to-production-config from weeks to hours — worth knowing as a capability when evaluating inference cost and performance strategy, though no decision is forced.</li> </ul>https://curadevops.metacog.co.kr/insights/2026-07-24-announcing-region-expansion-of-g7e-instances-on-sagemaker-ai/Fri, 24 Jul 2026 12:15:09 +0000https://curadevops.metacog.co.kr/insights/2026-07-24-announcing-region-expansion-of-g7e-instances-on-sagemaker-ai/<ul> <li><strong>Platform/SRE — Skip</strong></li> <li><strong>CI/CD — Skip</strong></li> <li><strong>Leader — Learn:</strong> If your org runs LLM inference on SageMaker in APAC or Europe, G7e availability in these regions may reduce latency and simplify architecture by eliminating multi-node setups for models up to 70B parameters — worth factoring into GPU capacity planning.</li> </ul>