Ray Serve vs vLLM:Which is more popular?
In September 2026, vLLM had more branded searches than Ray Serve among model serving platforms worldwide. vLLM had about 135,000 branded searches, while Ray Serve had 5,400. vLLM made up 51.9% of all model serving platform searches we track, and Ray Serve accounted for 2.1%. When we asked ChatGPT and Google AI Overviews about model serving platforms, Ray Serve appeared in four of the five answers and vLLM in three. vLLM was mentioned before Ray Serve in three out of four answers that named either.
Who do people search for more?
vLLM, about 25 searches for every 1 for Ray Serve
Who does AI mention more?
Ray Serve, mentioned in 4 of 5 answers, vLLM in 3
Who does AI recommend more?
vLLM, named ahead of Ray Serve in 3 of 4 answers
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Top model serving platforms in ChatGPT and Google AI Overviews
In three ChatGPT questions and two Google AI Overviews, Ray Serve was mentioned in four out of five: in all three ChatGPT answers and in one of the two Google AI Overviews. vLLM was mentioned in three out of five: in all three ChatGPT answers, but not in either of the two Google AI Overviews. vLLM was listed before Ray Serve in three out of four answers that named either.
Most recommended by AI
Brands get a higher ranking if they are mentioned earlier in the answers.
NVIDIA Triton Inference Server1st
vLLM2nd
KServe3rd
TensorFlow Serving4th
TorchServe5th
Baseten6th
Modal7th
Ray Serve8th
BentoML9th
Amazon SageMaker10th- +1 more
Mentioned by AI
Each dot is one answer, filled in when that answer mentions the brand.
Amazon SageMaker4 of 5Named in 2 of 3 ChatGPT answersNamed in 2 of 2 Google answers
KServe4 of 5Named in 3 of 3 ChatGPT answersNamed in 1 of 2 Google answers
Ray Serve4 of 5Named in 3 of 3 ChatGPT answersNamed in 1 of 2 Google answers
NVIDIA Triton Inference Server4 of 5Named in 2 of 3 ChatGPT answersNamed in 2 of 2 Google answers
vLLM3 of 5Named in 3 of 3 ChatGPT answersNamed in 0 of 2 Google answers
BentoML3 of 5Named in 2 of 3 ChatGPT answersNamed in 1 of 2 Google answers
Baseten2 of 5Named in 2 of 3 ChatGPT answersNamed in 0 of 2 Google answers
Modal2 of 5Named in 2 of 3 ChatGPT answersNamed in 0 of 2 Google answers
TorchServe2 of 5Named in 0 of 3 ChatGPT answersNamed in 2 of 2 Google answers
TensorFlow Serving2 of 5Named in 0 of 3 ChatGPT answersNamed in 2 of 2 Google answers
See every answer about model serving platforms
5 answers
Asked ChatGPT
“Which model serving platform should I use?”
Asked ChatGPT
“What are the best model serving platforms?”
Asked ChatGPT
“What's the best model serving platform for machine learning models?”
Searched Google, AI Overview
“model serving platforms”
Searched Google, AI Overview
“ml model serving”
Not named in any answer:
Brands are shown in the order each answer named them. The survey took place in the United States on October 21, 2026.
Is Ray Serve or vLLM more popular in search?
This chart shows how often people search Google for Ray Serve and vLLM by name. Each line represents a brand's share of searches for all 11 model serving platforms we track, month by month, from English-language searches worldwide.
Share of searches by month for vLLM, Ray Serve. The figures are in the table below the chart.
View monthly share of searches table
| Month | vLLM | Baseten | Amazon SageMaker | Seldon | Modal | KServe | Ray Serve | NVIDIA Triton Inference Server | BentoML | TorchServe | TensorFlow Serving |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Oct 2025 | 52.2% | 7% | 25.5% | 3.8% | 1.6% | 2.6% | 1.7% | 2.8% | 1.7% | 0.62% | 0.39% |
| Nov 2025 | 54.2% | 7.3% | 23% | 4% | 1.3% | 2.7% | 2.2% | 2.6% | 1.8% | 0.64% | 0.35% |
| Dec 2025 | 55% | 6% | 23.4% | 4% | 1.3% | 2.7% | 2.2% | 2.6% | 1.8% | 0.5% | 0.36% |
| Jan 2026 | 53.7% | 10.8% | 20.6% | 3.9% | 1.6% | 2.6% | 2.1% | 2.6% | 1.4% | 0.4% | 0.29% |
| Feb 2026 | 57.7% | 7.7% | 20.1% | 3.5% | 1.8% | 2.3% | 1.9% | 2.5% | 1.9% | 0.38% | 0.25% |
| Mar 2026 | 59.5% | 8% | 18.7% | 3.6% | 1.7% | 2.4% | 1.9% | 2.3% | 1.3% | 0.36% | 0.26% |
| Apr 2026 | 65.9% | 7.3% | 15.4% | 2.7% | 1.8% | 2.2% | 1.4% | 1.7% | 1.2% | 0.29% | 0.19% |
| May 2026 | 61% | 10% | 15.7% | 3% | 2.7% | 2.4% | 1.6% | 2% | 1.1% | 0.27% | 0.18% |
| Jun 2026 | 58.5% | 14.4% | 15% | 2.9% | 2.2% | 2.3% | 1.6% | 1.7% | 1% | 0.26% | 0.14% |
| Jul 2026 | 55% | 16.5% | 14.1% | 2.7% | 4.1% | 2.7% | 1.8% | 1.8% | 0.98% | 0.24% | 0.13% |
| Aug 2026 | 55.5% | 16.6% | 14.2% | 3.3% | 3% | 2.7% | 1.8% | 1.8% | 0.78% | 0.2% | 0.09% |
| Sep 2026 | 51.9% | 19% | 16.3% | 3.1% | 3% | 2.1% | 2.1% | 1.5% | 0.73% | 0.18% | 0.1% |
How has the Ray Serve and vLLM comparison changed over the last 12 months?
3 findings
- vLLM was ahead of Ray Serve in every measured month of the 12 months ending September 2026.
- Across the 12 months ending September 2026, Ray Serve’s share of searches among model serving platforms worldwide moved from 1.7% to 2.1%, and its estimated monthly branded searches moved from 4.4K to 5.4K.
- Across the 12 months ending September 2026, vLLM’s share of searches among model serving platforms worldwide moved from 52.2% to 51.9%, and its estimated monthly branded searches held steady at 135K.
How did search popularity change for model serving platforms worldwide in September 2026?
2 changes

In September 2026, vLLM lost share of searches among model serving platforms worldwide, from 55.5% to 51.9%.

Ray Serve’s share of searches among model serving platforms worldwide has gained ground for 3 months in a row, from 1.6% to 2.1% in September 2026.
How are branded searches counted?
2 search terms
Brandwave collects information about searches that people make online using Ray Serve’s and vLLM’s names. When viewed over time, estimated search volumes for these branded terms can be used to understand whether interest in the brands is growing, holding steady, or fading.
Other head-to-heads among model serving platforms

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