IPnext: Next Generation Inference Platform
summary
IPnext is a modular control plane with distinct modules—metadata, planner, and deployment—that turns a model’s deployment graph into region- and hardware-specific container jobs. The planner computes global placements across CPUs, GPUs and MTIA, revisits decisions every few hours, and hands plans to a transition model that safely converges capacity changes; model owners only supply global capacity and latency budgets. Distributed models deploy as synchronized parts with data-plane collaboration, cutting previous custom infra work and speeding iteration during this early rollout.
AI-written summary · about
chapters (9)
- 0:00Intro
- 1:44Inference workflow
- 2:52Challenges
- 6:18Platform Architecture
- 8:11Generalized Data Model
- 9:18Technical Design
- 11:08Generic Serving Paradigm
- 12:35Heterogeneous Hardwares
- 13:52Placement Planner
related talks
26mBuilding a Cloud Native Edge Platform for Accelerating AI Inference
02mInferentia2
12mPreview: ML Serving
15mINFaaS: Automated Model-less Inference Serving
19mThe Future of Inference for Complex AI Applications
38mInference in Progress… Please Monitor Responsibly
21mEdge Inference on Unknown Models
21mXorbits Inference: Model Serving Made Easy
