AI Directory : AI Developer Tools
What is Modal?
Modal helps people run code in the cloud. We think it's the easiest way for developers to get access to containerized, serverless compute without the hassle of managing their own infrastructure.
How to use Modal?
To use Modal, developers can run generative AI models, large-scale batch jobs, job queues, and more. They can bring their own code and Modal takes care of running the infrastructure. The installation process involves running 'pip install modal' followed by 'python3 -m modal setup'.
Modal's Core Features
Express container images and hardware specifications entirely in code, no need for Dockerfiles or YAML.
Provision network volumes, key-value stores, and queues with ease using powerful cloud primitives that feel like regular Python.
Turn functions into cron jobs with a single line of code.
Serve any function as an HTTPS endpoint and ship to custom domains.
Monitor executions, logs, and metrics in real-time, and debug interactively with modal shell.
Secure workloads with the gVisor runtime and industry-standard SOC 2 compliance.
Modal's Use Cases
Running data-intensive applications
Running large-scale workloads
Running generative AI models
Running batch jobs
Running job queues
Scheduling cron jobs
Serving functions as HTTPS endpoints
Modal Company
More about Modal, Please visit the about us page(https://modal.com/company).
Modal Login
Modal Login Link: https://modal.com/login?next=%2Fhome
Modal Sign up
Modal Sign up Link: https://modal.com/signup
Modal Pricing
Modal Pricing Link: https://modal.com/pricing
Modal Linkedin
Modal Linkedin Link: https://www.linkedin.com/company/modal-labs/
Modal Twitter
Modal Twitter Link: https://twitter.com/modal_labs
Modal Github
Modal Github Link: https://github.com/modal-labs
FAQ from Modal
What is Modal?
Modal helps people run code in the cloud. We think it's the easiest way for developers to get access to containerized, serverless compute without the hassle of managing their own infrastructure.
How to use Modal?
To use Modal, developers can run generative AI models, large-scale batch jobs, job queues, and more. They can bring their own code and Modal takes care of running the infrastructure. The installation process involves running 'pip install modal' followed by 'python3 -m modal setup'.
How does Modal work?
Modal allows developers to bring their own code, which is then executed in containerized, serverless compute environments. It provides features for storage, job scheduling, web endpoints, observability, and security.
What are the pricing options for Modal?
Modal offers flexible pricing based on compute usage. The cost varies depending on the type of compute resources used, including CPU cores, GPU models, and memory.
What are some use cases for Modal?
Modal is used for running data-intensive applications, large-scale workloads, generative AI models, batch jobs, job queues, and more. It can also be used for scheduling cron jobs and serving functions as HTTPS endpoints.