Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · AI Model Hosting

Ray Serve vs Modal

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Ray Serve #6 in AI Model Hosting 8.8/10 Open source ✓ 4 of 4 features Visit Ray Serve
Modal #8 in AI Model Hosting 8.6/10 Free plan Free plan✓ 0 of 4 features Visit Modal

Ray Serve leads on 0 checks, Modal on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreRay Serve · 8.8/10
  • Free planonly Modal
  • Most featuresRay Serve · 4 of 4

Ray Serve scores higher on our rubric for ai model hosting: 8.8 against 8.6 out of 10; our editors rank them #6 and #8.

Ray Serve is the better fit for teams building composable self-hosted serving systems. Modal is the better fit for python teams running elastic GPU workloads.

  • Ray Serve fits best

    Teams building composable self-hosted serving systems

  • Modal fits best

    Python teams running elastic GPU workloads

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Ray Serve 8.8/10 Visit ↗ Modal 8.6/10 Visit ↗
At a glance
Editor score 8.8 8.6
Ranking #6 in AI Model Hosting #8 in AI Model Hosting
Best for Teams building composable self-hosted serving systems Python teams running elastic GPU workloads
Pricing model Free Free plan + paid
Starting price Open source $250/mo
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Self-hosted, Cloud Cloud
Integrations 11 integrations 3 integrations
Features Ray Serve 4/4 · Modal 0/4
Autoscaling ✓ (best) Not checked yet
GPU accelerators ✓ (best) Not checked yet
Private deployment ✓ (best) Not checked yet
Batch inference ✓ (best) Not checked yet
Specs
Deployment mode Dedicated Not checked yet
Supported model formats PyTorch, TensorFlow, scikit-learn, ONNX, TensorRT Not checked yet
Deployment regions Not checked yet Not checked yet
Our review
Pros
  • Horizontal and traffic-based autoscaling with configurable replicas
  • GPU, multi-node serving and dynamic request batching
  • OpenAI-compatible APIs plus Kubernetes deployment through KubeRay
  • Automatic scale-to-zero for serverless Python functions
  • GPU and CPU compute with configurable memory and container images
  • HTTP, scheduled jobs, versioning, metrics, logs, and observability
Cons
  • Requires teams to operate their own Ray-based serving environment
  • Not a vendor-hosted inference service with managed operations
  • Composable deployment graphs may add architecture and maintenance work
  • Team costs $250 per month before usage-based compute charges
  • Starter limits workspace seats, containers, GPU concurrency, and functions
  • Enterprise support and engineering services require an enterprise plan
Our verdict

Ray Serve is an open-source Python framework for deploying machine-learning models and AI applications on Ray clusters. It is designed for teams that need dedicated, private model serving across local environments, virtual machines, or…

Read the review →

Modal is a serverless cloud platform for engineers and researchers building compute-intensive applications. It runs Python functions in cloud containers, supports CPU and GPU workloads, and can expose functions as HTTP endpoints or…

Read the review →
  1. Ray ServeAI Model Hosting 8.8Open source
  2. ModalAI Model Hosting 8.6Free plan

Strengths and trade-offs

  • Ray Serve — where it wins

    • Horizontal and traffic-based autoscaling with configurable replicas
    • GPU, multi-node serving and dynamic request batching
    • OpenAI-compatible APIs plus Kubernetes deployment through KubeRay

    Where it doesn't

    • Requires teams to operate their own Ray-based serving environment
    • Not a vendor-hosted inference service with managed operations
    • Composable deployment graphs may add architecture and maintenance work

  • Modal — where it wins

    • Automatic scale-to-zero for serverless Python functions
    • GPU and CPU compute with configurable memory and container images
    • HTTP, scheduled jobs, versioning, metrics, logs, and observability

    Where it doesn't

    • Team costs $250 per month before usage-based compute charges
    • Starter limits workspace seats, containers, GPU concurrency, and functions
    • Enterprise support and engineering services require an enterprise plan

More comparisons

All AI model hosting comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update