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What is Modal?

We created a containerization platform using Rust that focuses on achieving the fastest cold-start times possible. This platform enables effortless scaling from hundreds of GPUs down to zero in just seconds, meaning you only incur costs for the resources you actively use. Functions can be deployed to the cloud in seconds, and it supports custom container images along with specific hardware requirements. There's no need to deal with YAML; our system makes the process straightforward. Startups and academic researchers can take advantage of free compute credits up to $25,000 on Modal, applicable to GPU computing and access to high-demand GPU types. Modal keeps a close eye on CPU usage based on fractional physical cores, where each physical core equates to two vCPUs, and it also monitors memory consumption in real-time. You are billed only for the actual CPU and memory resources consumed, with no hidden fees involved. This novel strategy not only simplifies deployment but also enhances cost efficiency for users, making it an attractive solution for a wide range of applications. Additionally, our platform ensures that users can focus on their projects without worrying about resource management complexities.

What is IBM Cloud Functions?

IBM Cloud Functions is a robust functions-as-a-service (FaaS) platform that is based on Apache OpenWhisk, crafted for the creation of efficient and lightweight code that executes on demand while allowing for scalability. The platform offers complete access to the Apache OpenWhisk ecosystem, fostering a collaborative environment for developers globally to contribute. By utilizing IBM Cloud Functions, developers can build applications that react to events through a series of actions. Furthermore, it integrates cognitive analysis into application workflows, significantly enhancing the functionality of the applications being crafted. As users delve deeper into OpenWhisk components or manage more extensive workloads, only then does the pricing adjust upwards, rendering it a cost-efficient option for growing requirements. In summary, IBM Cloud Functions emerges as a pivotal resource for developers aiming to harness the power of event-driven programming in their projects, ensuring flexibility and innovation. The potential for expansion and adaptability makes it an attractive choice in today's dynamic application landscape.

Media

Media

Integrations Supported

GitHub
IBM Cloudant
IBM Datacap
IBM Load Balancer
IBM Push Notifications
Python

Integrations Supported

GitHub
IBM Cloudant
IBM Datacap
IBM Load Balancer
IBM Push Notifications
Python

API Availability

Has API

API Availability

Has API

Pricing Information

$0.192 per core per hour
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Modal Labs

Company Location

United States

Company Website

modal.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/functions

Categories and Features

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Serverless

API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage

Categories and Features

Serverless

API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage

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