Pipeshift provides production infrastructure, software, and engineering expertise to help businesses bring AI products and agents to market. Its inference platform supports open-source, custom, and fine-tuned models, with managed clusters designed for real-time workloads across multiple clouds and regions. The company combines optimized model runtimes with performance techniques such as custom kernels, advanced decoding, and caching to deliver low-latency inference.

Pipeshift offers dedicated, single-tenant deployments, configurable API service-level agreements, and tools to manage scaling and costs. Platform features include a model API sandbox for testing and prototyping, observability for model, infrastructure, and cost metrics, and automated scaling that can scale GPU resources to zero. Scheduling and bin-packing pipelines are designed to improve GPU utilization, while rapid cold starts support responsive service.

Its proprietary MAGIC framework, or Modular Architecture for GPU Inference Clusters, adapts inference infrastructure to application needs. A unified cloud console provides deployment and workload management, including team access controls. Pipeshift also offers support from forward-deployed engineers to help customers build, optimize, and scale models from pilot to production.