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Running open-weights or custom models at production scale requires complex GPU orchestration and runtime tuning. Baseten removes operational overhead by providing low-level optimisations, custom kernels, and flexible cloud deployment models.
Baseten addresses key operational bottlenecks in generative AI applications, focusing on latency, cold starts, and hardware utilisation. By offering VPC-native deployments alongside a managed service, it caters to teams with strict data security requirements. Furthermore, features like Baseten Chains indicate an operational shift towards compound AI systems where multiple models interact with fine-grained autoscaling.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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