AIBrix
Content Lifecycle & Evolution State
Overview
AIBrix is an open-source, cost-efficient, scalable, and pluggable cloud-native infrastructure for GenAI applications, tailored specifically to enterprise needs for deploying, managing, and scaling large language model (LLM) inference.
Key Features
High-Density LoRA Management: Streamlined support for lightweight, low-rank adaptations of models.
LLM Gateway and Routing: Efficiently manage and direct traffic across multiple models and replicas.
LLM App-Tailored Autoscaler: Dynamically scale inference resources based on real-time demand.
Unified AI Runtime: A versatile sidecar enabling metric standardization, model downloading, and management.
Distributed Inference: Scalable architecture to handle large workloads across multiple nodes.
Distributed KV Cache: Enables high-capacity, cross-engine KV reuse.
Cost-efficient Heterogeneous Serving: Enables mixed GPU inference to reduce costs with SLO guarantees.
GPU Hardware Failure Detection: Proactive detection of GPU hardware issues.
Use Cases
Optimizing GenAI inference deployment via Kubernetes for cost efficiency and scalability, managing high-density LoRA adaptations, and performing distributed LLM inference.
Getting Started
Clone the repository and install dependencies and AIBrix CRDs using `kubectl apply -k` or install a stable distribution using provided manifests from the releases page.
Recent Updates
v0.7.0 was released on June 16, 2026, introducing Management Console, Self-Hosted Batch, KV-Centric Disaggregation, and a Highly-Available Gateway. v0.6.0 was released on March 5, 2026.