Comparison

Baseten vs Ray

On the evidence we track, Baseten leads this comparison with a composite score of 76/100. 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
Baseten76
Ray67
Score
Vioscale score
Baseten76 / 100medium · 73%
Ray67 / 100medium · 68%
Pricing
Free tier
Baseten
Ray
Model
Price level
Basetenlow
Rayfree
Transparent
Baseten
Ray
Integrations
Count
Baseten3
Ray17
Security
Disclosure policy
Baseten
Ray
Gdpr
Baseten
Ray
Hipaa
Baseten
Ray
Pci
Baseten
Ray
Scorecard
Baseten
Ray5.7
Soc2
Baseten
Ray
Reliability
Sla pct
Baseten99.99
Ray
Status page
Baseten
Ray
Adoption
Dependent repos
Baseten
Github stars
Baseten
Package downloads weekly
Baseten
Activity
Commits last 30d
Baseten
Ray100
Release
Cadence days
Baseten
Ray18
History
Baseten
License
Spdx
Baseten
Language
Primary
Baseten
Market
Availability

Capabilities

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

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

What each one is

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

Baseten

Leader

An infrastructure platform that handles serving, optimizing, and scaling machine learning models across multiple clouds. Offers both managed cloud and self-hosted deployment options with built-in performance tuning, autoscaling, and 99.99% uptime reliability.

Independently observed

Ray

Ray is an open-source unified framework for scaling Python and machine learning applications across any infrastructure. It provides distributed compute primitives, specialized AI libraries for data processing, model training, tuning, and serving, with seamless scaling from development environments to large clusters.

Independently observed

Pricing

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

Baseten

Leader
HybridFree tier

Free tier with pay-as-you-go compute ($0.01/min for basic instances). Pro and Enterprise plans available via quote with volume discounts.

  • BasicFree
    • Dedicated deployments
    • Model APIs
    • Training
    • Fast cold starts
    • SOC 2 Type II and HIPAA compliant
    • +1 more
  • ProContact sales
    • Everything in Basic
    • Priority access to high-demand GPUs
    • Dedicated compute
    • Higher Model API rate limits
    • Hands-on engineering expertise
    • +1 more
  • EnterpriseContact sales
    • Everything in Pro
    • Custom SLAs
    • Self-host deployments
    • On-demand flex compute
    • Use existing cloud commitments
    • +4 more
as of verify ↗

Ray

FreeFree tier
as of verify ↗

Platform & deployment

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

Platforms
Web
Baseten
Ray
macOS
Baseten
Ray
CLI
Baseten
Ray
Deployment
Cloud / SaaS
Baseten
Ray
Self-hosted
Baseten
Ray
On-premise
Baseten
Ray
Hybrid
Baseten
Ray

Integrations

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

Baseten

Leader
3 total
  • Plotly
  • OpenAI-compatible endpoint
  • Truss
Independently observed

Ray

19 total
  • PyTorch
  • TensorFlow
  • AIBrix
  • AReaL
  • Cosmos Curate
  • Daft
  • Data-Juicer
  • DeltaCAT
  • Modin
  • NeMo Curator
  • NeMo-RL
  • OpenRLHF
  • RayDP
  • ROLL
  • SkyRL
  • SLIME
  • Syftr
  • verl
  • vLLM
Independently observed

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