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.
If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / 2 months ago
The supported environments include your local machine, Docker containers, remote SSH servers, and two serverless options called Daytona and Modal. Daytona and Modal are the interesting ones for beginners as they handle all the infrastructure for you, and you only pay for compute when Hermes is actively doing something. - Source: dev.to / 3 months ago
TL;DR: If you just need to ship fast, E2B has the best SDK experience. If you need the fastest cold starts, Blaxel wins at 25ms. For GPU workloads, Modal is unmatched. For self-hosted control, Daytona is open-source with a managed option. For persistent long-running sessions, Fly.io Sprites gives you 100GB NVMe per sandbox. - Source: dev.to / 4 months ago
* dramatically increasing inference throughput on [modal.com](http://modal.com) meant I could generate 10s of thousands of tiles in a few hours at very little cost, allowing me to experiment much more rapidly This project continues to be a lot of fun, but Iโm now mostly focusing on the agentic workflows that power this kind of ambitious generation at scale. Canโt wait to share more soon. - Source: Hacker News / 5 months ago
Thanks for sharing this interesting project and approach! One suggestion for improvement: Add some more info to your website/GitHub about the need for a provider and which providers are compatible. It took me a bit to figure that out because there was no prominent info about it. Additionally, none of the demos showed a login or authentication part. To me, it seemed like the VMs just came out of nowhere. So at... - Source: Hacker News / 5 months ago
Modal is one of those tools that immediately clicks if youโre a Python developer. The idea is straightforward: write Python functions, attach compute resources, and let the platform handle scaling and execution. - Source: dev.to / 6 months ago
There's lots of interesting tooling in my space. Currently open in my browser are https://github.com/liquidmetal-dev/flintlock https://github.com/e2b-dev https://www.daytona.io https://modal.com/ https://render.com/ There's lots of others. I'd love to see a proper comparison somewhere. - Source: Hacker News / 7 months ago
๐ฐ $5 USD in Modal Credits: Sign up at https://modal.com/ to get free credits for GPU compute. - Source: dev.to / 8 months ago
I use a MacBook (no NVIDIA GPU) but still like experimenting with CUDA kernels. I didn't want to spin up a VM every time or use browser-only platforms. So I built a tiny CLI that lets you run local `.cu` files on [Modal](https://modal.com) GPUs with a single command. Modal also gives you ~$30 of free credits when you sign up, so I built the CLI around it, and you can mess around with the small GPUs without paying... - Source: Hacker News / 8 months ago
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 / 10 months 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 / 11 months ago
You should look at [Modal](https://modal.com/), not affiliated. - Source: Hacker News / 11 months ago
Today, I came across a GPU Glossary by Modal while learning more about GPU architecture, and honestly, I havenโt found anything that explains GPU concepts this clearly and systematically before. The best part? The Terminal-inspired UI. Itโs 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 / about 1 year ago
I know of https://modal.com/, which I believe is used by Codegen and Cognition. - Source: Hacker News / about 1 year ago
Modal Great for dynamic LLM workloads with scale-on-demand, especially for inference-heavy agents. - Source: dev.to / about 1 year 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 / about 1 year 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 / about 1 year 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 / over 1 year ago
In the serverless paradigm, you simply bring your trained model, wrap it in API code, and deploy. The cloud provider handles everything elseโfrom 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 / over 1 year 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 / over 1 year 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 / over 1 year ago
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