Table of contents
Ease of Use
Modal provides an intuitive and user-friendly interface that simplifies the deployment and management of cloud services, making it accessible for users with varying levels of technical expertise.
Scalability
Modal is designed to scale effortlessly according to user needs, enabling businesses to handle increased demand without significant infrastructure changes.
Integration Capabilities
Modal supports integration with a wide array of third-party applications and services, allowing seamless communication and data exchange between systems.
Reliable Performance
The platform is optimized for performance, providing reliable uptime and fast response times, which are critical for maintaining business operations.
Security
Modal implements robust security measures, including data encryption and access control, to protect sensitive information and ensure compliance with industry standards.
We have collected here some useful links to help you find out if Modal is good.
Check the traffic stats of Modal on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Modal on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Modal's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Modal on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Modal on Reddit. This can help you find out how popualr the product is and what people think about it.
Right now we're using docker -- we're planning to support modal (https://modal.com/) for remote sandboxes and a "local" mode that might use something like worktrees. - Source: Hacker News / about 24 hours ago
Rajesh Pandey outlines key components: "For serverless, AWS Lambda and API Gateway allow you to build low-latency AI APIs without managing servers." Tools like Modal handle GPU deployments. - Source: dev.to / about 2 months ago
You should look at [Modal](https://modal.com/), not affiliated. - Source: Hacker News / about 2 months ago
Today, I came across a GPU Glossary by Modal while learning more about GPU architecture, and honestly, I haven’t found anything that explains GPU concepts this clearly and systematically before. The best part? The Terminal-inspired UI. It’s so visually appealing that even someone not particularly interested in GPUs might be tempted to explore just because of how cool it looks. - Source: dev.to / 3 months ago
I know of https://modal.com/, which I believe is used by Codegen and Cognition. - Source: Hacker News / 5 months ago
Modal Great for dynamic LLM workloads with scale-on-demand, especially for inference-heavy agents. - Source: dev.to / 5 months ago
We use modal (https://modal.com/). They give us GPUs on-demand, which is critical for us so we are only paying for what we are using. Pricing is about $2/hr per GPU (as a baseline of the costs). Long story short, things get VERY expensive quickly. - Source: Hacker News / 5 months ago
Yes. We use Modal (https://modal.com/), and are big fans of them. They are very ergonomic for development, and allow us to request GPU instances on demand. Currently, we are running our real-time model on A100s. - Source: Hacker News / 5 months ago
- It also supports gated models if you provide your HF token (handled securely via the backend, not stored). It's pretty straightforward right now. Built with Next.js on Vercel for the frontend and a FastAPI backend running on Modal (https://modal.com/). Under the hood I'm using the `transformers` library. I'm thinking about adding support for proprietary models (Claude, Gemini) or even a simple API if there's... - Source: Hacker News / 6 months ago
In the serverless paradigm, you simply bring your trained model, wrap it in API code, and deploy. The cloud provider handles everything else—from server allocation to scaling decisions to system maintenance. Your model becomes instantly available as a service, ready to process requests from anywhere in the world. Startups like Jina AI and Modal Labs are already building entire ML pipelines serverless-first. Even... - Source: dev.to / 6 months ago
Give https://modal.com a spin -- email me at deven [at] modal.com and happy to help you get set up. - Source: Hacker News / 8 months ago
LLM Code Execution: Running LLM-generated code on the same server as the application is not recommended and this can be prevented by running the code on the Sandbox environments such as Modal and E2B. - Source: dev.to / 8 months ago
[2] https://modal.com I’m in the same space, but we run the code that devs already write using LLMs to orchestrate them. - Source: Hacker News / 11 months ago
For those interested in exploring the capabilities of Flux.1 without financial commitment, using modal.com as a resource provider is a viable option. Modal.com offers a monthly compute power allowance of $30, which can support the generation of numerous images each month. You can learn more about their pricing and offerings at Modal.com Pricing. - Source: dev.to / about 1 year ago
Motivated to find a solution that balanced cost with performance, Martin explored using dlt, a tool known for its simplicity in building data pipelines. By combining dlt with asynchronous operations and using Modal for managed execution, the improvements were substantial:. - Source: dev.to / over 1 year ago
The analysis above shows that despite the powerful services offered by large cloud service providers like AWS, there's still a significant learning curve for developers to effectively utilize these services. This might explain the emergence of AI Infra products like LangSmith, Modal, and LaptonAI, which aim to be one-stop service providers for AI applications. We, on the other hand, take a different approach by... - Source: dev.to / over 1 year ago
I'm going to make a left field suggestion and say Modal Labs if you're mostly Python based: https://modal.com/ It should work with other languages through Docker and their Python API, but I can't speak to the ease of deployment in that case. - Source: Hacker News / over 1 year ago
I recommend checking out https://modal.com It’s “serverless” and You only pay for the compute you use. - Source: Hacker News / over 1 year ago
Apart from Supabase, I use Modal. I consider it the best hosting service for running ML and AI processes in Python. - Source: dev.to / over 1 year ago
I'm curious if people's qualms around abstracting the cloud/network also apply to the https://modal.com product. Differential seems like a similar project at its core, just focused on the Typescript + microservices ecosystem. - Source: Hacker News / over 1 year ago
> The author apparently does not have any experience in building systems/infrastructure. Well, he built https://modal.com , one of the coolest things since sliced mangoes. - Source: Hacker News / over 1 year ago
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Is Modal good? This is an informative page that will help you find out. Moreover, you can review and discuss Modal here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
