AI Gateway

LLM failover solutions keep production AI workloads online when providers fail. Learn the patterns, trade-offs, and how Bifrost delivers zero-downtime routing. LLM failover has shifted from a defensive line item to a core requirement for any team running AI in production. Provider outages are not rare events: Anthropic's

Compare the best AI gateway solutions in 2026 on performance, governance, MCP support, semantic caching, and self-hosting for production AI workloads. The best AI gateway solutions in 2026 are no longer evaluated on whether they can route requests to multiple LLM providers. That is now table stakes. The real questions

Compare the best LiteLLM alternatives for production AI workloads. Evaluate gateways on latency, governance, MCP support, and enterprise readiness. Teams running LiteLLM in production are reaching the same set of walls in 2026: Python GIL bottlenecks at moderate concurrency, governance features behind a paid license, and a growing list of

Compare the top enterprise AI gateways for multi-model routing in 2026 on governance, performance, compliance, and self-hosting for production workloads. Enterprise AI gateways for multi-model routing have become a core architectural decision for any organization running LLMs in production. As of 2026, most teams route across at least four providers

Compare the top 5 AI gateways for guardrails and governance: content safety, PII redaction, hierarchical budgets, audit logs, and compliance evidence. Choosing the right AI gateway for guardrails and governance has become a defining infrastructure decision for enterprise AI in 2026. Engineering, security, and compliance teams are no longer asking

Optimize LLM costs in production with five gateway-level practices: semantic caching, model routing, MCP Code Mode, virtual keys, and observability.