Cloud functions reimagined
Run generative AI models, large-scale batch jobs, job queues, and much more.
Bring your own code — we run the infrastructure.
1
2
3
4
5
6
7
>
Engineered for large-scale workloads
We built a container system from scratch in Rust for the fastest cold-start times. Scale to hundreds of GPUs and back down to zero in seconds, and pay only for what you use.
Iterate at the speed of thought
Deploy functions to the cloud in seconds, with custom container images and hardware requirements. Never write a single line of YAML.
Everything your app needs
Only pay for what you use
Scale up to hundreds of nodes and down to zero within seconds. Pay for actual compute, by the CPU cycle.
See pricingCompute Costs
CPU
$0.0000533 / core / sec
GPU
Nvidia A100, 40 GB
$0.001036 / sec
Nvidia A100, 80 GB
$0.001553 / sec
Nvidia A10G
$0.000306 / sec
Nvidia L4
$0.000291 / sec
Nvidia T4
$0.000164 / sec
Memory
$0.00000667 / GiB / sec
Join Modal's developer community
special shout out to @modal_labs and @_hex_tech for providing the crucial infrastructure to run this! Modal is the coolest tool I’ve tried in a really long time— cannnot say enough good things.
The Tech Stack you need to build powerful apps. Frontend: @nextjs Backend: @supabase Deploy: @vercel Data Processing: @modal_labs The beauty of this stack is that you can start for FREE
Shoutout to @modal_labs, which I used to run the @OpenAI Whisper models to transcribe the audio. Appreciate the previous commenters who recommended it! It was easy to parallelize around ~80 containers so a 90+ min podcast could be transcribed in under a minute🤯🤯🤯 [3/4]
@modal_labs (modal.com): the easiest way to run stuff in the cloud. Honestly it's mind-blowing. Thanks @bernhardsson!
@modal_labs is a blessing built by the Cloud Computing deity to bring joy and love for our lives. I've never seen anything like it, but it is the best PaaS/SaaS/ Whatever-a-a-S I've ever used.
Something like this would of been basically impossible to do so quickly without @modal_labs, since I'd have to learn ML infra on gcp/aws, auto scaling, managing gpu infra, etc. It's autoscaled by them, so I can easily tune 5,10,15 models at a time. Don't have to manage A100s
Modal has already completely changed the way I interact with the cloud. It's so fast that I skip the local dev environment and just develop my code in the cloud from the start of a project. 1/
If you are still using AWS Lambda instead of @modal_labs you're not moving fast enough
@modal_labs wow... this *just works*! ~10 mins all said and done to deploy my model
Yeah @modal_labs is awesome. Fastest and easiest way to deploy and schedule any python code. Documentation is excellent, slack very responsive and they have excellent examples!
Been using @modal_labs lately and it really is as good as people say. For the small project I'm building, it's the first tool that finds the right abstraction level for remotely executing code.
