LLM Gateway
7 articles tagged "LLM Gateway"
Explore our collection of articles about llm gateway. These posts cover practical insights for enterprise AI governance, compliance, and infrastructure teams.
LLM Gateway vs API Gateway: Why Teams Still Need Both
Learn what an LLM gateway adds, why teams still need it beside an API gateway, and how to test token, routing, data, and cost controls.
Token Counts Explained: Why the Same Text Costs Differently
We counted one sentence, one line of code and one JSON object with four tokenizers. Prose matched everywhere; code and JSON did not. Here is how to test your own payloads.
LLM Gateway Layers: Proxy vs Router vs Control Plane
An LLM gateway does three jobs: proxy, router and control plane. Learn which layer your team needs, what it really costs and how to roll one out.
Top 7 LLM Gateway Solutions for Enterprise AI Teams
Compare enterprise LLM gateway solutions across routing, observability, policy, cost controls, guardrails, provider abstraction, and production governance.
AI Tokenomics: Comparing Token Costs Across Claude, OpenAI, Gemini, and Cursor
Tokenomics explained: input, output, cache-read and cache-write tokens, a Claude vs OpenAI vs Gemini vs Cursor cost comparison, and how to measure it.
NVIDIA Nemotron LLMs Explained: Models, Trade-Offs, and Gateway Routing
A practical guide to NVIDIA's Nemotron LLM family: Llama Nemotron, Nemotron 3, model sizes, licensing, self-hosting, API access, and where Nemotron fits in a multi-model gateway.
OpenTelemetry for LLMs: How the Axiom LLM Gateway Ships Audit-Grade Traces
OpenTelemetry's GenAI semantic conventions made LLM telemetry portable. The hard part is producing them consistently across every vendor — which is what an LLM gateway is for.
Weekly governance insights for engineering leaders
Read the patterns behind governed AI delivery, then turn them into tracked workflows with Axiom Studio.
Explore VibeFlow