Comparison

vLLM vs ZenML

On the evidence we track, vLLM leads this comparison with a composite score of 68/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
vLLM68
ZenML56
Score
Vioscale score
vLLM68 / 100medium · 67%
ZenML56 / 100medium · 58%
Pricing
Free tier
vLLM
ZenML
Model
Price level
vLLMfree
ZenMLfree
Transparent
vLLM
ZenML
Integrations
Count
vLLM29
ZenML6
Reliability
Status page
vLLM
ZenML
Adoption
Dependent repos
vLLM5
ZenML44
Github stars
vLLM90,137
ZenML5,564
Package downloads weekly
ZenML
Activity
Commits last 30d
vLLM100
ZenML23
Release
Cadence days
vLLM9
ZenML14
History
License
Language
Primary
vLLMPython
ZenMLPython
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
vLLMModel serving
ZenMLEnd-to-end ML platform
Deployment
Self-hostable / OSS core
vLLM
ZenML
Managed cloud available
vLLM
ZenML
On-prem / VPC deployment
vLLM
ZenML
Observability
LLM tracing / observability
vLLM
ZenML
Evaluation (offline / LLM-judge / human)
vLLM-
ZenML
Dev
Prompt management + versioning
vLLM-
ZenML-
Tracking
Experiment tracking / model registry
vLLM-
ZenML
Serving
Model serving / inference endpoint
vLLM
ZenML
Interop
OpenTelemetry / OpenLLMetry compatible
vLLM
ZenML-
Framework-agnostic
vLLM
ZenML
Gateway
Multi-provider model support
vLLM
ZenML-
Data
No-train-on-customer-data guarantee
vLLM-
ZenML-

What each one is

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

vLLM

Leader

An open-source framework that provides optimized LLM inference with low latency and high throughput. It includes continuous batching, memory-efficient attention mechanisms, quantization support, and distributed serving across diverse hardware platforms.

Independently observed

ZenML

An MLOps framework that provides reproducible machine learning pipelines with automatic logging, versioning, and observability. Includes agent runtime capabilities (Kitaru) for building replayable agent workflows, deployable on your existing infrastructure without vendor lock-in.

Independently observed

Pricing

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

vLLM

Leader
Open sourceFree tier
as of verify ↗

ZenML

Open sourceFree tier

Free open-source tier. Paid ZenML Pro tier (details require account login)

  • Open SourceFree
    • Unlimited pipeline executions
    • Full orchestration capabilities
    • Automatic logging and versioning
    • No vendor lock-in
  • ProPricing not publicly available
    • Managed cloud hosting
    • Unified dashboard and observability
    • Advanced security controls
    • Enterprise integrations
as of verify ↗

Platform & deployment

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

Platforms
Web
vLLM
ZenML
Linux
vLLM
ZenML
CLI
vLLM
ZenML
Deployment
Cloud / SaaS
vLLM
ZenML
Self-hosted
vLLM
ZenML
On-premise
vLLM
ZenML
Hybrid
vLLM
ZenML

Integrations

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

In common (1)
  • Kubernetes

vLLM

Leader
32 total - 31 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
  • PyTorch
  • Ray
  • OpenTelemetry
  • Prometheus
  • FastAPI
  • Transformers
  • Outlines
  • Google Cloud TPU
  • Intel Gaudi
  • +7 more
Independently observed

ZenML

6 total - 5 not shared
  • Git
  • GitHub
  • GitLab
  • Docker
  • Poetry
Independently observed

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

vLLM vs ZenML: an evidence-based comparison · Vioscale