Endpoint choice

17 September 2026

Open Inference Stack: vLLM, Dynamo vs Proprietary Engines

If you are weighing an open serving stack against a proprietary engine, this guide separates the speed question from the portability question. We examine what vLLM and NVIDIA Dynamo buy you, keeping open source software, self-hosted versus managed deployments, and exposed controls as separate axes to evaluate.

10 September 2026

vLLM vs SGLang vs TensorRT-LLM (2026): Picking a Serving Engine

Comparing vLLM, SGLang, and TensorRT-LLM on peak throughput is the wrong approach. The real variables that dictate inference performance are model churn and prefix sharing - and for most platform teams, the most practical solution is to decline the engine choice entirely.

15 April 2026

Serverless GPU Inference: Architecture, Economics, and Compliance

18 April 2026

Self-Hosted LLM API Gateway Guide: Architecture and Infrastructure

Fragmented model access often leads to security vulnerabilities and unpredictable cost overruns. A self-hosted LLM API gateway centralizes control, ensuring GDPR compliance while providing a unified interface for your inference workloads.