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A serverless platform for AI and data teams to run CPU, GPU, and data-intensive compute at scale with sub-second cold starts and instant autoscaling.
Cookey enables AI agents to securely log into websites by relaying mobile sessions to the terminal.
Paseo: Run coding agents like Claude, Codex, and OpenCode from anywhere. Self-hosted, multi-provider, open-source.
LiteLLM: AI Gateway for 100+ LLMs with OpenAI format, features like spend tracking, fallbacks, and rate limiting.
The AI community building the future of AI through open source and open science.
Modal is a high-performance AI infrastructure platform designed to help developers and AI teams deploy faster. It provides a serverless environment where you can bring your own code and run intensive compute tasks—including CPU, GPU, and data-heavy workloads—without the overhead of managing traditional infrastructure or complex YAML configuration files.
Modal offers a developer-friendly pricing model that includes $30 per month in free compute credits, allowing users to ship their first app in minutes without upfront costs.
Q: How does Modal differ from traditional cloud providers? A: Modal is serverless and programmable. Instead of managing VMs or Kubernetes clusters, you simply decorate Python functions to run them in the cloud with instant scaling.
Q: What kind of GPU access does Modal provide? A: Modal provides elastic access to a wide range of GPUs across a multi-cloud capacity pool, allowing you to scale up to thousands of units without managing orchestration.
Q: Is Modal secure for enterprise use? A: Yes, Modal is SOC2 and HIPAA compliant, featuring battle-tested isolation, team controls, and data residency options.
Q: Can I use Modal for real-time applications? A: Absolutely. With sub-second cold starts and an AI-native runtime, it is optimized for low-latency inference and real-time data processing.