Pipeshift
pipeshift.comDeploy AI models in production with inference optimized for real-time workloads
Ops & Infraai-inferencegpu-infrastructurellm-deploymentmodel-servingmulti-cloudauto-scalingenterprise-ai
About
Pipeshift is a production inference platform that enables AI teams to deploy open-source, custom, and fine-tuned models at scale with dedicated single-tenant infrastructure. It uses a proprietary framework called MAGIC (Modular Architecture for GPU Inference Clusters) to compile workload-specific inference pipelines optimized for latency, throughput, and cost. The platform supports multi-cloud and multi-region deployments, auto-scaling, observability, and comes with forward-deployed engineering support.
Problem
Shared AI API providers offer unreliable, black-box endpoints with unpredictable latency spikes, downtime, and cost creep that teams cannot control or tune to their SLAs.
For
AI engineering teams and companies building production AI products and agents
How it works
Users select a model, choose optimization presets via MAGIC, define their SLA metrics, and receive dedicated API endpoints backed by purpose-built GPU orchestration infrastructure that scales across clouds and regions.
Business model
unknown
Status
launched
Company
Infercloud Inc.