Comparison

NVIDIA Triton Inference Server vs vLLM

On the evidence we track, vLLM leads this comparison with a composite score of 64/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
NVIDIA Triton Inference Server55
★vLLM64
Score
vioscaleAI score
NVIDIA Triton Inference Server55 / 100high · 77%
vLLM64 / 100medium · 58%
Pricing
Free tier
NVIDIA Triton Inference Server–
vLLM✓
Model
NVIDIA Triton Inference Servercommercial
Price level
NVIDIA Triton Inference Serverfree
vLLMfree
Transparent
NVIDIA Triton Inference Server–
vLLM✓
Integrations
Count
NVIDIA Triton Inference Server6
vLLM29
Adoption
Dependent repos
NVIDIA Triton Inference Server0
vLLM5
Github stars
NVIDIA Triton Inference Server11,087
vLLM93,797
Package downloads weekly
NVIDIA Triton Inference Server–
Activity
Commits last 30d
NVIDIA Triton Inference Server21
vLLM100
Release
Cadence days
NVIDIA Triton Inference Server30
vLLM12
History
NVIDIA Triton Inference Server20 items
License
Spdx
NVIDIA Triton Inference ServerBSD-3-Clause
Language
Primary
NVIDIA Triton Inference ServerPython
vLLMPython
Market
Availability
NVIDIA Triton Inference Server–
Content
Faq
NVIDIA Triton Inference Server6 items

Capabilities

Feature-by-feature on the axes that matter for model serving. “-” means undocumented, not absent.

Capabilities
Continuous batching
NVIDIA Triton Inference Server-
vLLM✓
Dynamic batching
NVIDIA Triton Inference Server-
vLLM-
Multi framework support
NVIDIA Triton Inference Server✓
vLLM✓
GPU acceleration
NVIDIA Triton Inference Server✓
vLLM✓
Multi GPU multi node
NVIDIA Triton Inference Server✓
vLLM✓
Quantization support
NVIDIA Triton Inference Server-
vLLM✓
Openai compatible API
NVIDIA Triton Inference Server-
vLLM✓
Autoscaling scale to zero
NVIDIA Triton Inference Server-
vLLM-
Multi model serving
NVIDIA Triton Inference Server✓
vLLM✓
Canary ab rollout
NVIDIA Triton Inference Server-
vLLM-
Kubernetes native
NVIDIA Triton Inference Server✓
vLLM✓
Open source
NVIDIA Triton Inference Server✓
vLLM✓

What each one is

The product in its own terms, so the numbers below have context.

NVIDIA Triton Inference Server

An inference-serving platform for deploying multiple machine learning models in production environments, supporting diverse frameworks and providing built-in Kubernetes compatibility.

Independently observed

vLLM

Leader

A production-grade inference engine designed for efficient serving of large language models with support for distributed deployment, GPU acceleration, and multi-model endpoints.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

NVIDIA Triton Inference Server

Open source
as of verify ↗

vLLM

Leader
Open sourceFree tier
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Linux
NVIDIA Triton Inference Server✓
vLLM✓
CLI
NVIDIA Triton Inference Server✓
vLLM✓
Deployment
Cloud / SaaS
NVIDIA Triton Inference Server✗
vLLM✓
Self-hosted
NVIDIA Triton Inference Server✓
vLLM✓
On-premise
NVIDIA Triton Inference Server✗
vLLM✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (4)
  • Kubernetes
  • Prometheus
  • PyTorch
  • HuggingFace

NVIDIA Triton Inference Server

12 total - 8 not shared
  • TensorRT
  • ONNX
  • OpenVINO
  • RAPIDS FIL
  • Python
  • TensorFlow
  • NVIDIA TensorRT
  • vLLM
Independently observed

vLLM

Leader
33 total - 29 not shared
  • NVIDIA Dynamo
  • OpenAI-compatible API
  • Anthropic Messages API
  • FlashAttention
  • FlashInfer
  • CUTLASS
  • torch.compile
  • gRPC
  • GPTQ
  • AWQ
  • GGUF
  • ModelOpt
  • TorchAO
  • OpenAI API
  • Ray
  • OpenTelemetry
  • FastAPI
  • Transformers
  • Outlines
  • Google Cloud TPU
  • Intel Gaudi
  • AMD Instinct
  • Apple Silicon
  • IBM Spyre
  • +5 more
Independently observed
Still deciding?

NVIDIA Triton Inference Server or vLLM: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.