What AI says about Open Model Engine | Parse

What AI says about Open Model Engine

Track Open Model Engine free

Data as of Oct 6, 2026Based on 23,012 AI responsesReviewed by Dimitry Apollonsky · Oct 5, 2026

See how Parse measures this

SGLang is a high-performance serving framework for large language and multimodal models, designed for fast, scalable inference from single GPUs to distributed clusters. It supports a wide range of open models and hardware platforms, incorporating advanced optimizations like disaggregated prefill/decode and speculative decoding.

Mentioned in

<1%No change

of AI answers about Open Model Engine and its rivals. Since Jul 5

The market map

MLOps and Inference Serving Platforms

Mentioned in

1RunPod37% · Avg. position 19.2
=2vLLM34% · Avg. position 36.2
=2Baseten34% · Avg. position 4.3
4NVIDIA Triton Inference Server30% · Avg. position 39.3
5Modal29% · Avg. position 2.9
7Amazon SageMaker23% · Avg. position 82.2
8Replicate18% · Avg. position 4.7
9Google Cloud Gemini Enterprise Agent Platform16% · Avg. position 6.0
=10Beam14% · Avg. position 38.4
=10TensorRT-LLM14% · Avg. position 5.1
12Hugging Face Inference Endpoints13% · Avg. position 25.9
=13BentoML12% · Avg. position 4.6
=13SGLang12% · Avg. position 5.4
15Ray Serve11% · Avg. position 4.5
=64Open Model Engine1% · Avg. position 4.4

How often AI mentions Open Model Engine

Aug 12SepSep 30

Where AI names Open Model Engine

Since Jul 5

ChatGPT Search<1%
Google AI Mode

Topics AI recommends Open Model Engine for1

Open Model Engine's share in each topic, as its page ranks it

Topic#

Application-level model compositionMLOps and Inference Serving Platforms3%=13

Other brands in MLOps and Inference Serving Platforms

Rank

RunPod#1
vLLM#2
NVIDIA