Topics · Model Serving

Top companies for Model Serving

Ranked by AI mention frequency in Model Serving prompts · 50 observations · last seen Oct 20, 2026

Share of voice · top 10

Mention share across all brand mentions in this topic · remaining brands hold 70.2%

Leader

Bentoml

4.9%

  1. 1Bentoml4.9% · 23
  2. 2Kserve4.5% · 21
  3. 3Vllm3.9% · 18
  4. 4Ray Serve3.4% · 16
  5. 5Kubernetes2.6% · 12
  6. 7Aws Sagemaker2.1% · 10
  7. 8Azure Ml2.1% · 10
  8. 9Seldon1.9% · 9
  9. 10Torchserve1.9% · 9

Full ranking

  1. 1.Bentoml4.9% SoV · 23 mentions · 20 prompts · Oct 6, 2026
  2. 2.Kserve4.5% SoV · 21 mentions · 17 prompts · Oct 6, 2026
  3. 3.Vllm3.9% SoV · 18 mentions · 15 prompts · Sep 17, 2026
  4. 4.Ray Serve3.4% SoV · 16 mentions · 14 prompts · Oct 6, 2026
  5. 5.Kubernetes2.6% SoV · 12 mentions · 11 prompts · Oct 6, 2026
  6. 6.Nvidia Triton Inference Server2.4% SoV · 11 mentions · 9 prompts · Sep 23, 2026
  7. 7.Aws Sagemaker2.1% SoV · 10 mentions · 8 prompts · Oct 6, 2026
  8. 8.Azure Ml2.1% SoV · 10 mentions · 8 prompts · Oct 6, 2026
  9. 9.Seldon1.9% SoV · 9 mentions · 8 prompts · Oct 6, 2026
  10. 10.Torchserve1.9% SoV · 9 mentions · 8 prompts · Jul 20, 2026
  11. 11.Hugging Face Inference Endpoints1.7% SoV · 8 mentions · 5 prompts · Oct 1, 2026
  12. 12.Tgi1.7% SoV · 8 mentions · 8 prompts · Jul 20, 2026
  13. 13.Vertex1.7% SoV · 8 mentions · 7 prompts · Jul 20, 2026
  14. 14.Google Vertex1.5% SoV · 7 mentions · 6 prompts · Oct 6, 2026
  15. 15.Tensorrt Llm1.5% SoV · 7 mentions · 6 prompts · Sep 17, 2026
  16. 16.Triton1.5% SoV · 7 mentions · 6 prompts · Jul 20, 2026
  17. 17.Triton Inference Server1.5% SoV · 7 mentions · 6 prompts · Jul 20, 2026
  18. 18.Replicate1.3% SoV · 6 mentions · 4 prompts · Oct 1, 2026
  19. 19.Aws Sagemaker Endpoints1.1% SoV · 5 mentions · 5 prompts · Jul 20, 2026
  20. 20.Fastapi1.1% SoV · 5 mentions · 5 prompts · Oct 6, 2026
  21. 21.Grafana1.1% SoV · 5 mentions · 5 prompts · Oct 6, 2026
  22. 22.Hugging Face Tgi1.1% SoV · 5 mentions · 4 prompts · Sep 17, 2026
  23. 23.Nvidia Triton1.1% SoV · 5 mentions · 5 prompts · Jul 20, 2026
  24. 24.Prometheus1.1% SoV · 5 mentions · 5 prompts · Oct 6, 2026
  25. 25.Argo Cd0.86% SoV · 4 mentions · 4 prompts · Jul 20, 2026
  26. 26.Azure Ml Online Endpoints0.86% SoV · 4 mentions · 4 prompts · Oct 1, 2026
  27. 27.Databricks Model Serving0.86% SoV · 4 mentions · 3 prompts · Jul 20, 2026
  28. 28.Opentelemetry0.86% SoV · 4 mentions · 4 prompts · Oct 6, 2026
  29. 29.S30.86% SoV · 4 mentions · 3 prompts · Jul 20, 2026
  30. 30.Sagemaker0.86% SoV · 4 mentions · 4 prompts · Jul 20, 2026
  31. 31.Seldon Core0.86% SoV · 4 mentions · 4 prompts · Jul 20, 2026
  32. 32.Azure Blob0.64% SoV · 3 mentions · 2 prompts · Jul 20, 2026
  33. 33.Envoy0.64% SoV · 3 mentions · 3 prompts · Jul 20, 2026
  34. 34.Gcs0.64% SoV · 3 mentions · 2 prompts · Jul 20, 2026
  35. 35.Google Vertex Ai Prediction0.64% SoV · 3 mentions · 3 prompts · Jul 20, 2026
  36. 36.Helm0.64% SoV · 3 mentions · 3 prompts · Jul 20, 2026
  37. 37.Hugging Face0.64% SoV · 3 mentions · 3 prompts · Jul 20, 2026
  38. 38.Loki0.64% SoV · 3 mentions · 3 prompts · Jul 20, 2026
  39. 39.MLflow0.64% SoV · 3 mentions · 3 prompts · Jul 20, 2026
  40. 40.Nginx0.64% SoV · 3 mentions · 3 prompts · Jul 20, 2026
  41. 41.Vertex Ai Prediction0.64% SoV · 3 mentions · 3 prompts · Oct 1, 2026
  42. 42.Aks0.43% SoV · 2 mentions · 2 prompts · Jul 20, 2026
  43. 43.Amazon Sagemaker Endpoints0.43% SoV · 2 mentions · 2 prompts · Oct 1, 2026
  44. 44.Anthropic0.43% SoV · 2 mentions · 2 prompts · Jul 20, 2026
  45. 45.Argo Rollouts0.43% SoV · 2 mentions · 2 prompts · Jul 20, 2026
  46. 46.AWS0.43% SoV · 2 mentions · 2 prompts · Jul 20, 2026
  47. 47.Aws Bedrock0.43% SoV · 2 mentions · 1 prompts · Jul 20, 2026
  48. 48.Azure Machine Learning Online Endpoints0.43% SoV · 2 mentions · 1 prompts · Oct 1, 2026
  49. 49.Docker0.43% SoV · 2 mentions · 2 prompts · Oct 6, 2026
  50. 50.Eks0.43% SoV · 2 mentions · 2 prompts · Jul 20, 2026

How did Obsurfable measure this?

Obsurfable records AI answers to buyer-style prompts in its research corpus (50 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.