Inference for real-time agents
Engineering teams struggle to run real-time model inference in production while meeting latency/throughput SLAs and controlling infrastructure cost across clusters and regions.
Pipeshift provides optimized inference runtimes plus orchestration that auto-scales and routes workloads across clusters and regions for cost-effective real-time inference.
Engineering teams and developers shipping real-time AI agents and inference services in production.
CEO @ Pipeshift. Building scalable infrastructure for open source AI workloads.
CTO @ Pipeshift. Focused on squeezing out max LLM performance from GPUs
CIO @ Pipeshift. Making LLMs go brrrr at Pipeshift