vioscaleAI
Comparison

Amazon SageMaker Inference vs vLLM

No clear leader: Amazon SageMaker Inference (67.6) and vLLM (63.5) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Amazon SageMaker Inference full profile →vLLM full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Amazon SageMaker Inference68
vLLM64
Score
vioscaleAI score
Amazon SageMaker Inference68 / 100high · 75%
vLLM64 / 100medium · 58%
Pricing
Free tier
Amazon SageMaker Inference✓
vLLM✓
Model
Amazon SageMaker Inferencefreemium
vLLMopen_source
Price level
Amazon SageMaker Inferencelow
vLLMfree
Transparent
Amazon SageMaker Inference✗
vLLM✓
Integrations
Count
Amazon SageMaker Inference13
vLLM29
Security
Fedramp
Amazon SageMaker Inference✓
vLLM–
Gdpr
Amazon SageMaker Inference✓
vLLM–
Hipaa
Amazon SageMaker Inference✓
vLLM–
Iso27001
Amazon SageMaker Inference✓
vLLM–
Pci
Amazon SageMaker Inference✓
vLLM–
Soc2
Amazon SageMaker Inference✓
vLLM–
Trust center
Vulnerabilities
Adoption
Dependent repos
Amazon SageMaker Inference–
vLLM5
Github stars
Amazon SageMaker Inference–
vLLM93,797
Package downloads weekly
Amazon SageMaker Inference–
vLLM463,948
Activity
Commits last 30d
Amazon SageMaker Inference–
vLLM100
Release
Cadence days
Amazon SageMaker Inference–
vLLM12
History
Amazon SageMaker Inference–
vLLM20 items
License
Spdx
Amazon SageMaker Inference–
vLLMApache-2.0
Language
Primary
Amazon SageMaker Inference–
vLLMPython
Market
Availability
Content
Faq
Amazon SageMaker Inference7 items
vLLM6 items

Capabilities

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

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

What each one is

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

Amazon SageMaker Inference

A managed inference service that deploys machine learning models with support for various frameworks and deployment patterns, ranging from low-latency millisecond responses to high-throughput scenarios, with integration into MLOps workflows.

Independently observed

vLLM

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.

Amazon SageMaker Inference

Usage-basedFree tier

Pay-as-you-go usage pricing. New AWS customers receive up to $200 in Free Tier credits; free tier available for 6 months.

as of verify ↗

vLLM

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
Web
Amazon SageMaker Inference✓
vLLM✗
Linux
Amazon SageMaker Inference✗
vLLM✓
CLI
Amazon SageMaker Inference✓
vLLM✓
Deployment
Cloud / SaaS
Amazon SageMaker Inference✓
vLLM✓
Self-hosted
Amazon SageMaker Inference✗
vLLM✓
On-premise
Amazon SageMaker Inference✗
vLLM✓

Integrations

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

In common (1)
  • PyTorch

Amazon SageMaker Inference

16 total - 15 not shared
  • TensorFlow
  • ONNX
  • XGBoost
  • SageMaker Pipelines
  • SageMaker Projects
  • SageMaker Feature Store
  • SageMaker Model Registry
  • SageMaker Clarify
  • Amazon Bedrock
  • Amazon S3
  • AWS CloudWatch
  • AWS CloudTrail
  • S3
  • SharePoint
  • Confluence
Independently observed

vLLM

33 total - 32 not shared
  • Hugging Face
  • NVIDIA Dynamo
  • OpenAI-compatible API
  • Anthropic Messages API
  • FlashAttention
  • FlashInfer
  • CUTLASS
  • torch.compile
  • gRPC
  • GPTQ
  • AWQ
  • GGUF
  • ModelOpt
  • TorchAO
  • OpenAI API
  • Kubernetes
  • Ray
  • OpenTelemetry
  • Prometheus
  • FastAPI
  • Transformers
  • Outlines
  • Google Cloud TPU
  • Intel Gaudi
  • +8 more
Independently observed
Still deciding?

Amazon SageMaker Inference 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.