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Modal

(4.7)

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FreePaid Plan-from$250

Platform:

Web

Best for:

Create High-Performance AI Infrastructure

Free Trial:

Not Available

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AIChief Verdict
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AIChief Rating

(4.7)

Visit Modal

Our team of developers at AIChief tested multiple AI deployment tools, but they weren’t reliable enough. That’s when we came across Modal and it helped us run generative AI models. It allowed our team to run and deploy the codes for running the apps. Also, our team loved how they could make changes to the codes and see instant changes in the apps.

Features

(4.6)

Accessibility

(4.7)

Compatibility

(4.6)

User Friendliness

(4.7)

Updated November 26, 2025

What is Modal?

Modal is an AI infrastructure tool. It allows the users to run generative AI models and batch jobs. This is because it helps run the infrastructure on your codes. In addition, you can make changes to the code and watch how the app is rebuilt instantly. This also means that you don�t have to write the YAML again. Also, the users get the development documentation.�

The best part is that it has a customized container stack. This makes it easier to scale the GPUs, and you only have to pay for the time it takes to run them. Lastly, it has a container file system, which makes it easier to load the data.

Modal Review Summary
Performance Score
A+
Infrastructure Quality
Automated and reliable
Interface
Intuitive
AI Technology
  • Machine learning algorithms
  • Deep reasoning models
Purpose of Tool
Run and customize the generative AI models through your own codes for running the infrastructure
Compatibility
  • Web-based interface
Pricing
One free and two paid plans are available

Who is Using Modal?

  • Machine Learning Engineers & Researchers: They can simplify the process of deploying and scaling machine learning models. Also, they can use the GPU resources efficiently and cost-effectively.
  • Data Scientists: They can deploy and share their machine-learning models with colleagues or stakeholders. Also, they can experiment with different model architectures and hyperparameters.
  • Software Developers: They can integrate machine learning models into their applications more easily. Also, they can use pre-built infrastructure components and focus on application development.
Modal Key Features
Serverless cloud
Real-time app rebuilding
Frictionless cloud development
Custom container stack
Generative AI model running
Autoscaling
Automated code changes
Container file system

Is Modal Free?

Yes, there is a free version of Modal available. This includes three workspace seats, along with 10 GPU concurrency and 100 containers. In addition, two paid plans are available. The first plan costs $250, and the second one has custom pricing. 

Team Plan

  • Costs $250 a month�
  • Unlimited seats�
  • 30 GPU concurrency�
  • 1000 containers�
  • Custom domains�
  • Region selection�
  • Unlimited web endpoints�

Enterprise Plan

  • Custom pricing and features�
  • Unlimited seats�
  • Custom GPU concurrency�
  • Personalized integration help�
  • HIPAA and audit logs�
  • Private Slack channel�

Modal Pros & Cons

Pros
Scalable infrastructure with different CPUs and GPUs.
No need for infrastructure provisioning.
Automatic scaling according to development demand.
Handle workloads from container tasks.
Support fine-tuning and batch processing.
Cons
Difficult to use for non-technical people.

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FAQs

Can I bring my own models or code to Modal?

Yes, Modal supports custom code and pre-trained models. You can upload and deploy your applications using your existing workflows.

How does Modal handle scaling?

Modal uses a serverless architecture to automatically scale applications up or down based on demand. You only pay for the computing resources you use.

What types of GPUs are available on Modal?

Modal offers a range of GPUs. They include Nvidia H100, A100 (40GB and 80GB), L40S, A10G, L4, and T4. These cater to different workloads, such as high-performance AI and cost-efficient batch processing.

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