Brandwave

How popular isRay Serve?

In September 2026, people searched for Ray Serve by name about 5,400 times worldwide, a 22.7% increase from the previous year. These searches made up 2.1% of all global model serving platform searches, placing Ray Serve seventh out of 11 platforms. When we asked both ChatGPT and Google AI Overviews about model serving platforms, Ray Serve appeared in four of the five answers and was the eighth most recommended of the 11.

Search and AI answers in September 2026

Ray Serve is the seventh most searched of 11 competitors and the eighth most recommended in AI answers.

  1. vLLMShare of searches 51.9%Mentioned in 3 of 5 AI answersPlace in AI recommendations 2nd
  2. BasetenShare of searches 19%Mentioned in 2 of 5 AI answersPlace in AI recommendations 6th
  3. Amazon SageMakerShare of searches 16.3%Mentioned in 4 of 5 AI answersPlace in AI recommendations 10th
  4. SeldonShare of searches 3.1%Mentioned in 0 of 5 AI answersPlace in AI recommendations –
  5. Ray ServeShare of searches 2.1%Mentioned in 4 of 5 AI answersPlace in AI recommendations 8th

+6 more

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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. Ray Serve is the eighth most recommended of the 11.

Most recommended by AI

Brands get a higher ranking if they are mentioned earlier in the answers.

  1. NVIDIA Triton Inference Server1st
  2. vLLM2nd
  3. KServe3rd
  4. TensorFlow Serving4th
  5. TorchServe5th
  6. Baseten6th
  7. Modal7th
  8. Ray Serve8th
  9. BentoML9th
  10. Amazon SageMaker10th
  11. +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

+1 more

See every answer about model serving platforms

5 answers

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.

Which model serving platforms compete with Ray Serve?

Ray Serve against model serving platforms worldwide, by month

Share of searches by month for vLLM, Baseten, Amazon SageMaker, Seldon, Modal, KServe, Ray Serve. The figures are in the table below the chart.

View monthly share of searches table
MonthvLLMBasetenAmazon SageMakerSeldonModalKServeRay ServeNVIDIA Triton Inference ServerBentoMLTorchServeTensorFlow Serving
Oct 202552.2%7%25.5%3.8%1.6%2.6%1.7%2.8%1.7%0.62%0.39%
Nov 202554.2%7.3%23%4%1.3%2.7%2.2%2.6%1.8%0.64%0.35%
Dec 202555%6%23.4%4%1.3%2.7%2.2%2.6%1.8%0.5%0.36%
Jan 202653.7%10.8%20.6%3.9%1.6%2.6%2.1%2.6%1.4%0.4%0.29%
Feb 202657.7%7.7%20.1%3.5%1.8%2.3%1.9%2.5%1.9%0.38%0.25%
Mar 202659.5%8%18.7%3.6%1.7%2.4%1.9%2.3%1.3%0.36%0.26%
Apr 202665.9%7.3%15.4%2.7%1.8%2.2%1.4%1.7%1.2%0.29%0.19%
May 202661%10%15.7%3%2.7%2.4%1.6%2%1.1%0.27%0.18%
Jun 202658.5%14.4%15%2.9%2.2%2.3%1.6%1.7%1%0.26%0.14%
Jul 202655%16.5%14.1%2.7%4.1%2.7%1.8%1.8%0.98%0.24%0.13%
Aug 202655.5%16.6%14.2%3.3%3%2.7%1.8%1.8%0.78%0.2%0.09%
Sep 202651.9%19%16.3%3.1%3%2.1%2.1%1.5%0.73%0.18%0.1%

  1. 1.vLLM

    51.9%

    Held 1st. 135K estimated branded searches, 0% vs prior month. Share -3.6 points.

  2. 2.Baseten

    19%

    Held 2nd. 49.5K estimated branded searches, +22.2% vs prior month. Share +2.4 points.

  3. 3.Amazon SageMaker

    16.3%

    Held 3rd. 42.4K estimated branded searches, +22.5% vs prior month. Share +2.1 points.

  4. 4.Seldon

    3.1%

    Held 4th. 8.1K estimated branded searches, 0% vs prior month. Share -0.2 points.

  5. 5.Modal

    3%

    Held 5th. 7.8K estimated branded searches, +6.8% vs prior month. Share 0 points.

  6. 6.KServe

    2.1%

    Held 6th. 5.4K estimated branded searches, -18.2% vs prior month. Share -0.6 points.

  7. 7.Ray Serve

    2.1%

    Held 7th. 5.4K estimated branded searches, +22.7% vs prior month. Share +0.3 points.

  8. 8.NVIDIA Triton Inference Server

    1.5%

    Held 8th. 3.8K estimated branded searches, -11.6% vs prior month. Share -0.3 points.

  9. 9.BentoML

    0.73%

    Held 9th. 1.9K estimated branded searches, 0% vs prior month. Share 0 points.

  10. 10.TorchServe

    0.18%

    Held 10th. 480 estimated branded searches, 0% vs prior month. Share 0 points.

  11. 11.TensorFlow Serving

    0.1%

    Held 11th. 260 estimated branded searches, +23.8% vs prior month. Share 0 points.

Compare popularity between Ray Serve and its closest rivals

Every comparison with Ray Serve

10 comparisons

How has branded search demand for Ray Serve changed worldwide over the last 12 months?

2 findings
  • Across the 12 months ending September 2026, estimated monthly branded searches for Ray Serve worldwide rose from 4.4K to 5.4K.
  • Across the 12 months ending September 2026, Ray Serve rose from 8th to 7th among model serving platforms worldwide.

How did search popularity change for model serving platforms worldwide in September 2026?

6 changes

  1. In September 2026, Baseten gained share of searches among model serving platforms worldwide, from 16.6% to 19%.

  2. In September 2026, Amazon SageMaker gained share of searches among model serving platforms worldwide, from 14.2% to 16.3%.

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

  4. In September 2026, KServe lost share of searches among model serving platforms worldwide, from 2.7% to 2.1%.

  5. 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.

  6. Estimated monthly branded searches for Modal worldwide rose 85.7% over 12 measured months, from 4.2K to 7.8K in September 2026.

How are Ray Serve’s branded searches counted?

1 search term

Brandwave collects information about searches that people make online using Ray Serve’s name. When viewed over time, estimated search volumes for this branded term can be used to understand whether interest in the brand is growing, holding steady, or fading.

  • ray serve

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How the Brand Demand Index is measured

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