Baseten

Baseten’s inference platform is positioned as the underlying infrastructure and tooling used to run models in production with performance optimizations, scaling, and reliability; it is offered in cloud, self-hosted, and hybrid deployment modes.

Dedicated Inference is Baseten’s offering for mission-critical, large-scale inference running in Baseten Cloud or a customer’s environment, with autoscaling across clouds/regions and Baseten’s performance/routing stack; Baseten describes single-tenant deployments and mentions compliance positioning (e.g., SOC 2 Type II and HIPAA) in the context of dedicated deployments.

Model APIs provide production-ready API access to frontier models running on Baseten’s inference stack, positioned to integrate open-source models into production with reliability and performance improvements versus generic public access approaches.

Baseten Training is described as production-oriented training infrastructure offered to Baseten customers, including features such as caching, checkpointing, deploy-from-checkpoint workflows, and multi-node job support.

Baseten Embeddings Inference (BEI) is positioned as production-grade inference for embedding, reranking, and classification workloads, with Baseten citing higher throughput and lower latency versus other standards, and designed to work with elastic scaling and optimized cold starts.

Baseten Chains is positioned as a way to deploy multi-model/compound inference pipelines, with chainlets configured for hardware/software resources and deployed to production.