Answer-first summary58/100 GEO

Modal

Serverless cloud for AI workloads.

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Your Citability Score

58/100
Completeness13/25
Citable structure20/25
Freshness25/25
Verified claim0/25
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  • Completeness: Fill in description, category, URL, logo, tags, and audience.
  • Citable structure: Add an answer-first summary, a deeper description, a citable outcome, and a valid URL.
  • Verified claim: Claim this project as its owner (and get verified) to earn full trust.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

M

Modal

Invited

Serverless cloud for AI workloads.

AI InfrastructureCH-VER-967498Listed July 27, 2026
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AI-Extractable Summary
What:Serverless cloud for AI workloads.
For whom:ML engineers, AI application developers, and data teams building production model inference, training, and batch pipelines
Key outcome:Deploy and scale AI workloads in minutes while reducing infrastructure management and idle compute costs
Category:AI Infrastructure

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
19
Impressions
0
Clicks
0
Saves
0
GQI Earned

Citable Outcome

Deploy and scale AI workloads in minutes while reducing infrastructure management and idle compute costs.

About

Serverless cloud platform optimized for running AI/ML workloads with GPU access, auto-scaling, and simple Python interface.

Target Audience: ML engineers, AI application developers, and data teams building production model inference, training, and batch pipelines.
Not ideal for: Teams that need a no-code AI builder or simple static hosting rather than programmable infrastructure for custom workloads.

What makes it different

  • Python-first developer experience for AI and data workloads
  • Serverless access to GPUs and CPUs with scale-to-zero billing
  • Runs containerized workloads without managing servers, clusters, or Kubernetes
  • One platform for inference, training, batch jobs, and scheduled pipelines

Tags & Classification

model inferencegpu trainingllm servingbatch processingscheduled jobs
ml engineersai developersdata scientistsplatform engineers
softwarehealthcarefinancial servicesecommerce
Platform: PlatformModel: Developer Tool

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_modal,
  title = {Modal},
  url = {https://citablehub.com/p/modal},
  note = {Listed July 27, 2026. CitableHub ID: CH-VER-967498},
  year = {2026}
}
APA
Modal. (2026). CitableHub Software Index. https://citablehub.com/p/modal.
MLA
"Modal." CitableHub, 2026, https://citablehub.com/p/modal.