--- title: "BentoML vs Ray Serve: Which is searched more?" description: "Is BentoML or Ray Serve more popular in search? Compare estimated monthly branded-search demand and Share of Search inside the Model serving platforms set worldwide. Branded searches tell you how often people look for a brand by name or related terms. Comparing these searches across competitors helps you see how popular each brand is over time." canonical: "https://gobrandwave.com/demand/global-en/compare/bentoml-vs-ray-serve" publisher: "Brandwave" --- # BentoML vs Ray Serve: Which is searched more? Is BentoML or Ray Serve more popular in search? Compare estimated monthly branded-search demand and Share of Search inside the Model serving platforms set worldwide. Branded searches tell you how often people look for a brand by name or related terms. Comparing these searches across competitors helps you see how popular each brand is over time. ## Key facts - **Compared**: BentoML and Ray Serve - **Competitive set**: Model serving platforms - **Market**: Global - **Month measured**: Sep 2026 - **BentoML Share of Search**: 0.73% - **Ray Serve Share of Search**: 2.1% ## Is BentoML or Ray Serve more popular in search? - In September 2026, Ray Serve had more branded searches than BentoML among model serving platforms worldwide. Ray Serve had about 5,400 branded searches, while BentoML had 1,900. Ray Serve made up 2.1% of all model serving platform searches we track, and BentoML accounted for 0.73%. - Ray Serve was ahead of BentoML in every measured month of the 12 months ending September 2026. - Across the 12 months ending September 2026, BentoML’s share of searches among model serving platforms worldwide moved from 1.7% to 0.73%, and its estimated monthly branded searches moved from 4.4K to 1.9K. - 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. ## 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. BentoML was mentioned in three out of five: in two of the three ChatGPT answers and in one of the two Google AI Overviews. Ray Serve was listed before BentoML in three out of five answers. Brands get a higher AI rank if they are mentioned earlier in the answers that list options. | Brand | AI rank | ChatGPT answers that named it | Google AI Overviews that named it | All answers that named it | | --- | --- | --- | --- | --- | | NVIDIA Triton Inference Server | 1st | 2 of 3 | 2 of 2 | 4 of 5 | | vLLM | 2nd | 3 of 3 | 0 of 2 | 3 of 5 | | KServe | 3rd | 3 of 3 | 1 of 2 | 4 of 5 | | TensorFlow Serving | 4th | 0 of 3 | 2 of 2 | 2 of 5 | | TorchServe | 5th | 0 of 3 | 2 of 2 | 2 of 5 | | Baseten | 6th | 2 of 3 | 0 of 2 | 2 of 5 | | Modal | 7th | 2 of 3 | 0 of 2 | 2 of 5 | | Ray Serve | 8th | 3 of 3 | 1 of 2 | 4 of 5 | | BentoML | 9th | 2 of 3 | 1 of 2 | 3 of 5 | | Amazon SageMaker | 10th | 2 of 3 | 2 of 2 | 4 of 5 | | Seldon | Not ranked | 0 of 3 | 0 of 2 | 0 of 5 | ## Every AI answer about model serving platforms - Asked ChatGPT "Which model serving platform should I use?": 1. Baseten, 2. Modal, 3. vLLM, 4. Ray Serve, 5. KServe - Asked ChatGPT "What are the best model serving platforms?": 1. vLLM, 2. NVIDIA Triton Inference Server, 3. Modal, 4. Baseten, 5. BentoML, 6. KServe, 7. Amazon SageMaker, 8. Ray Serve - Asked ChatGPT "What's the best model serving platform for machine learning models?": 1. KServe, 2. vLLM, 3. NVIDIA Triton Inference Server, 4. Ray Serve, 5. BentoML, 6. Amazon SageMaker - Searched Google, AI Overview "model serving platforms": 1. TensorFlow Serving, 2. TorchServe, 3. NVIDIA Triton Inference Server, 4. KServe, 5. Ray Serve, 6. Amazon SageMaker - Searched Google, AI Overview "ml model serving": 1. TensorFlow Serving, 2. TorchServe, 3. NVIDIA Triton Inference Server, 4. BentoML, 5. Amazon SageMaker Not named in any answer: Seldon. Brands are listed in the order each answer named them. The answers were collected in the United States on October 21, 2026. ## How did search popularity change for model serving platforms worldwide in September 2026? - 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. - Estimated monthly branded searches for BentoML worldwide fell 56.8% over 12 measured months, from 4.4K to 1.9K in September 2026. ## Month by month | Month | BentoML estimated searches | BentoML Share of Search | BentoML rank | Ray Serve estimated searches | Ray Serve Share of Search | Ray Serve rank | | --- | --- | --- | --- | --- | --- | --- | | Oct 2025 | 4.4K | 1.7% | 7 | 4.4K | 1.7% | 8 | | Nov 2025 | 4.4K | 1.8% | 8 | 5.4K | 2.2% | 7 | | Dec 2025 | 3.6K | 1.8% | 8 | 4.4K | 2.2% | 7 | | Jan 2026 | 3.6K | 1.4% | 9 | 5.4K | 2.1% | 7 | | Feb 2026 | 4.4K | 1.9% | 7 | 4.4K | 1.9% | 8 | | Mar 2026 | 3.6K | 1.3% | 9 | 5.4K | 1.9% | 7 | | Apr 2026 | 3.6K | 1.2% | 9 | 4.4K | 1.4% | 8 | | May 2026 | 2.9K | 1.1% | 9 | 4.4K | 1.6% | 8 | | Jun 2026 | 2.9K | 1% | 9 | 4.4K | 1.6% | 8 | | Jul 2026 | 2.4K | 0.98% | 9 | 4.4K | 1.8% | 7 | | Aug 2026 | 1.9K | 0.78% | 9 | 4.4K | 1.8% | 7 | | Sep 2026 | 1.9K | 0.73% | 9 | 5.4K | 2.1% | 7 | ## How each brand is measured Brandwave collects information about searches that people make online using BentoML’s and Ray Serve’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. - **BentoML**: Measured on the search term “bentoml”. - **Ray Serve**: Measured on the search term “ray serve”. - [BentoML profile](/demand/global-en/brands/bentoml) - [Ray Serve profile](/demand/global-en/brands/ray-serve) - [All model serving platforms worldwide](/demand/global-en/categories/model-serving-platforms): The set both shares are measured inside, 11 brands. ## Methodology - [How is the Brand Demand Index measured?](/demand/methodology): Where the figures come from, what they compare, and how they may be reused. ## Frequently asked questions ### Is BentoML or Ray Serve more popular in search? In September 2026, Ray Serve had more branded searches than BentoML among model serving platforms worldwide. Ray Serve had about 5,400 branded searches, while BentoML had 1,900. Ray Serve made up 2.1% of all model serving platform searches we track, and BentoML accounted for 0.73%. ## Cite this page Brandwave. "BentoML vs Ray Serve: Which is searched more?". https://gobrandwave.com/demand/global-en/compare/bentoml-vs-ray-serve This page is also available as HTML at https://gobrandwave.com/demand/global-en/compare/bentoml-vs-ray-serve. Brandwave publishes an index of its Markdown pages at https://gobrandwave.com/llms.txt.