# Model Serving

Ranked by the Vioscale composite score: a confidence-weighted blend of independent signals, not user reviews.

| # | Software | Score | Confidence | Vendor |
|--:|---|--:|---|---|
| 1 | [Ollama](https://www.vioscale.ai/software/ollama) | 79.2 | 49% (low) | Ollama |
| 2 | [KServe](https://www.vioscale.ai/software/kserve) | 70.2 | 19% (low) | - |
| 3 | [vLLM](https://www.vioscale.ai/software/vllm) | 68.5 | 51% (medium) | - |
| 4 | [TorchServe](https://www.vioscale.ai/software/torchserve) | 63.3 | 28% (low) | - |
| 5 | [BentoML](https://www.vioscale.ai/software/bentoml) | 57.3 | 38% (low) | - |
| 6 | [Hugging Face Text Generation Inference](https://www.vioscale.ai/software/hugging-face-text-generation-inference) | 53.8 | 27% (low) | - |
| 7 | [NVIDIA NIM](https://www.vioscale.ai/software/nvidia-nim) | 49.1 | 36% (low) | - |
| 8 | [NVIDIA Triton Inference Server](https://www.vioscale.ai/software/nvidia-triton-inference-server) | 48.2 | 24% (low) | - |
| 9 | [LMDeploy](https://www.vioscale.ai/software/lmdeploy) | 43.8 | 23% (low) | - |
| 10 | [Amazon SageMaker Inference](https://www.vioscale.ai/software/amazon-sagemaker-inference) | 36.1 | 40% (low) | - |
| 11 | [MLC LLM](https://www.vioscale.ai/software/mlc-llm) | 30.9 | 19% (low) | - |
| 12 | [SGLang](https://www.vioscale.ai/software/sglang) | 13.7 | 3% (low) | - |

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*Source: Vioscale (https://www.vioscale.ai/categories/model-serving).*