What is Modal?
Modal offers a serverless cloud environment specifically designed for AI, machine learning, and data-intensive applications. It allows developers to deploy and scale their applications without managing infrastructure. Modal's infrastructure provides sub-second container starts, seamless autoscaling to hundreds of GPUs, and flexible configuration options.
The platform supports a wide range of use cases, including generative AI inference, model fine-tuning, and large-scale batch processing. With zero configuration files and straightforward Python integration, Modal simplifies the process of deploying complex applications, allowing developers focus on innovation, not on server management.
Features
- Flexible Environments: Bring your own image or build one in Python, scale resources as needed, and leverage state-of-the-art GPUs like H100s & A100s.
- Seamless Integrations: Export function logs to Datadog or any OpenTelemetry-compatible provider, and easily mount cloud storage from major providers (S3, R2 etc.).
- Data Storage: Manage data effortlessly with storage solutions (network volumes, key-value stores and queues).
- Job Scheduling: Set up cron jobs, retries, and timeouts, or use batching to optimize resource usage.
- Web Endpoints: Deploy and manage web services with ease. Create custom domains, set up streaming and websockets, and serve functions as secure HTTPS endpoints.
- Built-In Debugging: Use the modal shell for interactive debugging and set breakpoints to pinpoint issues quickly.
Use Cases
- Generative AI Inference
- Fine-tuning and training models
- Batch processing
- Language Model Serving
- Image, Video, and 3D Processing
- Audio Processing
- Sandboxed Code Execution
- Computational Biology Applications
FAQs
-
How does serverless pricing differ from traditional on-demand pricing?
With serverless pricing, you only pay for the resources consumed during code execution, by the CPU cycle. Traditional on-demand pricing often involves paying for idle resources. -
What kinds of applications can I deploy using Modal?
You can deploy a wide range of applications including, but not limited to, language model inference, image/video/3D processing, audio processing, fine-tuning, job queues, batch processing, sandboxing code, and computational biology applications. -
Can I use my AWS, GCP, or Azure credits on Modal?
You can use committed AWS spend on Modal via AWS Marketplace. Coming soon to Google Cloud Marketplace.
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Modal Uptime Monitor
Average Uptime
99.93%
Average Response Time
165.77 ms
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