How Drizzle:AI Integrates with KGateway

Traditional API gateways are not equipped to handle the unique demands of LLM inference traffic. Drizzle:AI solves this by implementing a modern, LLM-aware Inference Gateway using tools like KGateway. By leveraging the official Kubernetes Gateway API and its emerging Inference Extensions, we provide intelligent, policy-based routing that dramatically improves performance and reduces cost.

Key Features of the Integration

• Intelligent, LLM-Aware Routing: We move beyond simple round-robin. The gateway can make routing decisions based on real-time metrics like backend queue size, KV Cache hit rate, and which LoRA adapters are loaded.
• Standardized & Future-Proof: By building on the official Kubernetes Gateway API, we ensure your platform uses a community-driven, standardized, and future-proof approach to traffic management.
• Centralized Governance: The gateway provides a single, secure entry point for all LLM requests, enabling centralized authentication, rate limiting, and audit logging.
• Enhanced Performance: Directing traffic to the most optimal backend reduces latency, minimizes cold starts, and maximizes the efficiency of your expensive GPU resources.

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