Pipeshift
Deploy AI models in production with inference optimized for real-time workloads
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.
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.
AI engineering teams and companies building production AI products and agents
Background.
- Status
- launched
- Business model
- unknown
- Company
- Infercloud Inc.
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