Pipeshift

Pipeshift provides dedicated, single-tenant inference infrastructure for serving open-source, custom, and fine-tuned AI models. It is designed for teams that need control over their inference stack, including custom API SLAs, predictable scaling, and isolation from shared API providers. The platform supports real-time agent workloads across clouds and regions, with SLA-tuned deployments and auto-scaling.

Key capabilities include MAGIC (Modular Architecture for GPU Inference Clusters), a proprietary orchestration framework that adapts inference infrastructure layers to application needs. The platform offers model APIs, sandbox APIs for prototyping, infrastructure observability covering model API metrics, costs, and GPU/CPU metrics, auto-scaling with scale-to-zero, fast cold-starts, and scheduling and bin-packing pipelines for GPU utilization. A unified cloud console supports deployment and management, with team settings and access control. Forward Deployed Engineers provide support from pilot through production.

Pipeshift is aimed at teams building and scaling AI products that require dedicated inference capacity and SLA control. The pages describe contact-based access through sales and engineering conversations rather than published plan tiers, pricing, or seat-based packaging.