AWS just redefined how teams build, deploy and scale ML workloads without the operational complexity.
SageMaker Serverless AI introduces fully managed, event-driven scaling for training and inference. No instance sizing. No cluster management. Just ML that adapts to your workload automatically.
SageMaker Unified Endpoints simplify how teams deploy multi-model and multimodal systems with intelligent traffic routing handled for them.
The SageMaker Optimization Engine reduces cost by tuning compute, storage and model configurations so teams only pay for what they actually consume.
On-demand fine-tuning enables organizations to adapt foundation models using their own data securely and quickly without provisioning GPU fleets.
With enhanced observability, teams now gain clearer insights into data drift, model health and performance from a single control layer.
This marks a shift from ML as complex infra to ML as a fully managed production layer.
If you’re at re:Invent 2025, AWS is offering $50K in credits to accelerate your GenAI, ML or modernization initiatives. Do not leave without them.
NuVista AI | Stop Overpaying for Transformation
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