# LMDeploy vs NVIDIA Triton Inference Server | Attribute | LMDeploy | NVIDIA Triton Inference Server | |---|---|---| | **Vioscale score** | 43.8 (23% (low)) | 48.2 (24% (low)) | | activity.commits_last_30d | 66 | 12 | | adoption.dependent_repos | 2 | 0 | | adoption.github_stars | 8,023 | 10,939 | | deployment.options | `{"self_hosted":true}` | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | | description.long | A software framework that enables developers to compress, deploy, and serve large language models with quantization optimization, multiple inference engines, and compatibility across various model architectures. | An open-source platform that deploys AI models built with PyTorch, ONNX, TensorFlow, and other frameworks, supporting real-time and batch inference workloads. It runs on NVIDIA GPUs, CPUs, and accelerators, with integrations for Kubernetes orchestration and Prometheus monitoring in both cloud and on-premises environments. | | integrations.count | 2 | 8 | | integrations.list | `[{"name":"llm-compressor"},{"name":"OpenCompass"}]` | `[{"name":"Kubernetes"},{"name":"Prometheus"},{"name":"TensorRT"},{"name":"PyTorch"},{"name":"ONNX"},{"name":"OpenVINO"},{"name":"RAPIDS FIL"},{"name":"Python"}]` | | language.primary | Python | Python | | license.spdx | Apache-2.0 | BSD-3-Clause | | platform.support | `{"cli":true,"windows":true}` | `{"cli":true,"linux":true,"windows":true}` | | pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://lmdeploy.readthedocs.io/en/latest/","retrievedAt":"2026-08-20T12:17:08.568Z"}` | `{"type":"open_source","sourceUrl":"https://developer.nvidia.com/triton-inference-server","retrievedAt":"2026-08-19T14:45:54.530Z"}` | | pricing.free_tier | yes | - | | pricing.model | open_source | commercial | | pricing.price_level | free | free | | release.cadence_days | 21 | 28 | | release.history | 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| `[{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.71.0","date":"2026-07-29T16:09:26Z","type":"stable","version":"v2.71.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.70.0","date":"2026-06-26T18:41:12Z","type":"stable","version":"v2.70.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.69.0","date":"2026-06-02T17:33:03Z","type":"stable","version":"v2.69.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.68.0","date":"2026-04-28T17:10:50Z","type":"stable","version":"v2.68.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.67.0","date":"2026-03-27T16:47:26Z","type":"stable","version":"v2.67.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.66.0","date":"2026-03-02T18:04:29Z","type":"stable","version":"v2.66.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.65.0","date":"2026-02-03T20:20:28Z","type":"stable","version":"v2.65.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.64.0","date":"2025-12-24T02:01:09Z","type":"stable","version":"v2.64.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.63.0","date":"2025-11-26T01:26:44Z","type":"stable","version":"v2.63.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.62.0","date":"2025-10-31T18:54:48Z","type":"stable","version":"v2.62.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.61.0","date":"2025-10-07T22:10:06Z","type":"stable","version":"v2.61.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.60.0","date":"2025-08-26T22:15:33Z","type":"stable","version":"v2.60.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.59.1","date":"2025-07-29T21:50:01Z","type":"stable","version":"v2.59.1"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.59.0","date":"2025-06-26T23:35:58Z","type":"stable","version":"v2.59.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.58.0","date":"2025-05-31T09:16:11Z","type":"stable","version":"v2.58.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.57.0","date":"2025-05-12T18:13:57Z","type":"stable","version":"v2.57.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.56.0","date":"2025-04-07T19:30:21Z","type":"stable","version":"v2.56.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.55.0","date":"2025-02-26T19:55:19Z","type":"stable","version":"v2.55.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.54.0","date":"2025-01-29T23:09:44Z","type":"stable","version":"v2.54.0"},{"url":"https://github.com/triton-inference-server/server/releases/tag/v2.53.0","date":"2024-12-23T21:20:20Z","type":"stable","version":"v2.53.0"}]` | | security.scorecard | - | 7 | | security.vulnerabilities | `{"count":6,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=lmdeploy&per_page=100","last_12m":4,"max_severity":"HIGH"}` | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=nvidia-genai-perf-eval&per_page=100","last_12m":0,"max_severity":null}` | ## Capabilities (Model Serving) | Capability | LMDeploy | NVIDIA Triton Inference Server | |---|:--:|:--:| | **Capabilities** | | | | Continuous batching | - | - | | Dynamic batching | - | - | | Multi framework support | - | - | | GPU acceleration | - | - | | Multi GPU multi node | - | - | | Quantization support | - | - | | Openai compatible API | - | - | | Autoscaling scale to zero | - | - | | Multi model serving | - | - | | Canary ab rollout | - | - | | Kubernetes native | - | - | | Open source | - | - | *Source: Vioscale. Generated 2026-09-01T14:59:58.451Z. "-" = undocumented, not absent.*