The Enterprise AI Gateway
Self-host in minutes. No credit card.
Testimonial
Testimonial
Testimonial“LiteLLM gives NVIDIA engineers a single, consistent way to access more than 100 AI model endpoints.”
Testimonial
Testimonial“LiteLLM streamlines the complexities of managing multiple LLM models.”
Testimonial
Testimonial
Testimonial“LiteLLM has let my team provide the latest LLM models to our users, usually within a day of them being released… it has saved us months of work.”
Testimonial
Testimonial“If we decide to switch the backend model, it’s a simple configuration update in the gateway; no code changes, procurement cycles, or repetitive security reviews required.”
Testimonial
Deploy in any environment
Self-hosted, on-prem, or in your cloud.
Sub-millisecond overhead. Read the benchmark.
The LiteLLM Rust AI Gateway is live. On our benchmarks it adds 0.66 ms at p99 — 3.5× lower overhead than the next AI gateway — measured with AI Gateway Bench, an open standard for benchmarking and comparing AI gateways. Run it yourself.
Identical hardware; every gateway pointed at the same deterministic mock upstream; single client.
Same benchmark run; resident memory with the gateway idle.
Measured on identical hardware, with every gateway pointed at the same deterministic upstream, so only the gateway’s own overhead is left. Every number, chart, and script is public.
LiteLLM gives NVIDIA engineers a single, consistent way to access more than 100 AI model endpoints across cloud providers, open source deployments, and internal NVIDIA services.
LiteLLM has let my team provide the latest LLM models to our users, usually within a day of them being released… it has saved us months of work.
LiteLLM streamlines the complexities of managing multiple LLM models.
If we decide to switch the backend model, it’s a simple configuration update in the gateway; no code changes, procurement cycles, or repetitive security reviews required.
