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 |
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Purpose of Tool | Run and customize the generative AI models through your own codes for running the infrastructure |
Compatibility |
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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.
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.