Modal - Modal: Serverless AI Cloud for High-Performance Workloads
Modal is a serverless cloud platform built for developers, offering high-performance AI infrastructure, frictionless cloud development, and scalable generative AI inference that adapts to your needs.
Modal Product Information
What is Modal?
Modal provides a frictionless cloud development experience for high-performance AI infrastructures and large-scale generative AI inference with seamless autoscaling. Built for large-scale workloads, it offers fast cold boots, support for custom models and popular frameworks, seamless autoscaling, and infrastructure for fine-tuning and training without managing infrastructure. Modal also delivers batch processing optimized for high-volume workloads, supercomputing scale, serverless pricing, and powerful compute primitives. With flexible environments, seamless integrations, data storage, job scheduling, web endpoints, and built-in debugging features, Modal offers powerful and cost-effective GPU tasks and CPU compute options. Their platform caters to teams of all scales, from small teams to enterprise-level organizations, prioritizing security, support, and reliability by being built on gVisor, SOC 2, and HIPAA compliance, region support, and SSO sign-in for enterprise users.
How to Use Modal?
To begin using Modal, developers can easily write code that runs on hundreds of GPUs in parallel, transcribing podcasts in a fraction of the time. It is designed for tasks that would have taken days to complete but now take minutes instead, providing significant savings when deploying language model models (LLMs) on Modal. The platform allows users to scale function calls in the cloud with just a few lines of Python, simplifying the infrastructure needed for AI development and training.
Core Features of Modal
- Fast cold boots
- Custom models and popular frameworks support
- Seamless autoscaling
- Provisioning of Nvidia A100 and H100 GPUs
- Serverless batch processing on supercomputing scale
- Flexible environments and seamless integrations
- Powerful job scheduling and web endpoints
- Built on top of gVisor for enhanced security
Use Cases of Modal
- High-Performance AI Infrastructure
- Generative AI Inference
- Fine-Tuning and Training
- Batch Processing with Scalable Autoscaling
- Frictionless Cloud Development
FAQ about Modal
What are the core advantages of Modal's infrastructure?
Modal provides fast cold boots, support for custom models and popular frameworks, seamless autoscaling, Nvidia A100 and H100 GPU provisioning, serverless batch processing, and flexible environments with seamless integrations for an optimized cloud development experience.
How does Modal enhance security and compliance?
Modal is built on top of gVisor and adheres to SOC 2 and HIPAA compliance. It offers region support and SSO sign-in for enterprise users, prioritizing security, support, and reliability.
What programming language does Modal primarily support?
Modal primarily supports Python-based development, offering seamless integration and powerful job scheduling, making it ideal for AI and ML workflows.
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