Serverless platform for AI and data teams to run compute jobs without managing infrastructure.
Product memo
AI and data teams use Modal to run ML models and compute jobs without managing infrastructure. It offers serverless compute with elastic GPU scaling, letting users define infrastructure in code. This approach provides unified observability and an AI-native runtime for fast autoscaling and model initialization.
For who
AI and data teams
Solves what
Running ML models and compute jobs without managing infrastructure
- Code-defined infrastructure
- Elastic GPU scaling
- Unified observability
In their own words
BUILT FOR PERFORMANCE
UNIFIED OBSERVABILITY
Bring your own code, and run CPU, GPU, and data-intensive compute at scale.
Commercial cues
Model
subscription
Free tier
Yes
Trial
No
Pricing Strategy
- • Tiered GPU pricing allows teams to optimize costs for specific model requirements.
Operator context
Founded
Sep 2025
Platform
API
Audience
Developers
Public footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Complex Stack
About Modal Expand
Modal offers a serverless platform for AI and data teams, removing the need to manage complex infrastructure for running ML models and compute jobs. It focuses on providing elastic GPU scaling and a code-defined infrastructure approach, which simplifies deployment and operations.
The platform's AI-native runtime ensures fast autoscaling and model initialization, critical for demanding AI workloads. By specializing in this niche, Modal delivers a tailored experience that addresses the specific performance and cost needs of data-intensive applications.