AI Infrastructure
for Developers
Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
TRUSTED BY THE BEST AI COMPANIES
Your AI-Native Cloud Platform
Sandboxes for AI Agents
Durable Task Queues
Custom Model Inference
Run on our cloud, or yours.
100% open source.
Switch hardware in seconds
Run your code on any hardware in seconds — just change one line of Python to switch hardware.
Easy Local Debugging
We make it easy to test your code before deploying it, using the exact configuration you'll run in production.
One platform for sandboxes, inference, and training
Custom Model Inference
Host any custom model on GPU or CPU. Bring your own image.
Sandboxed Code Execution
Run LLM-generated code in secure execution environments.
Training & Fine-Tuning
Train and fine-tune, from SLMs and LLMs to diffusion models.
Audio Processing Pipelines
Deploy task queues to process large amounts of data.
Streamlit and Gradio UIs
Run frontend apps, from Streamlit and Gradio apps to Notebooks.
Web Scraping
Run Chromium instances - headed or headless - at scale.
Join our community
Louis Morgner
Co-founder, AI lead @ Jamie
Beam is powering hands-down the best developer experience to run models on GPUs easily at scale. Best decision on the infra side for us this year so far.
Eric Meier
@bitphinix
@beam_cloud is 🔥. Such a huge workflow improvement over AWS Sagemaker / Google vertex ai
Brandon Garcia
@__BCG__
One of the better developer experiences I've had in a while was with @beam_cloud - a serverless GPU and API infra platform. Check them out 👇
Deploy an open source model on hugging face running on GPUs in a few minutes with 6 lines of code.
Keep your eyes on these guys 👀
James Bonner
Founder at Happy Accidents
I can't recommend Beam highly enough. Their developer experience is top notch.
We never could have shipped Happy Accidents as quickly as we did without them. We were able to build the GPU portion of our app in hours instead of weeks.
Not only is the platform great, we loved working with the Beam team. They're extremely responsive, so we had a high level of confidence in the reliability of the platform.
Liam Eloie
Machine Learning Engineer
Beam has been a huge time-saver by eliminating the need to monitor and manage my own VM infrastructure.
I no longer worry about unexpected bugs or outages which means less downtime and fewer headaches.
This lets me provide a significantly more reliable service to my users, and it's been surprisingly more cost-efficient than my prior solution.
Benjamin Smith
MLE at Shippabo
Time is the biggest thing Beam has helped us with. I went from spending 6 hours developing an API to pressing a button and deploying instantly
Brandon Brisbon
CTO at Shop Galaxy
Spun up a new app today and realized just how it easy it was. Took me only 15 mins to organize and deploy on Beam.
Realizing that quick python apps on Beam is a cheat code
Devon Peroutky
Software Engineer
Beam has been a revelation in terms of making it simple to build an ML application on GPU
Frankie L.
CTO and AI Researcher @ Frase
Frase is running language models exclusively on Beam and it was surprisingly easy to migrate, less maintenance, and is saving us money because unlike Google and other cloud providers, Beam is able to provide us with an on-demand solution that scales immediately with our traffic, and we don’t need to worry about any of the clunky tooling around GPUs.
Leonardo Cuco
CTO at Ween.ai
Beam is amazing. I tested the CLI and in 5 minutes had something running on the cloud.
And the Slack community is a game changer because when we get stuck we get responses quickly
Joshua Clanton
@joshuacc
If you're looking to dip your toes into building something with AI, definitely take a look at http://beam.cloud.
Serverless functions with access to GPUs so you can run jobs on-demand and pay only for what you use.
And it's *much* easier than setting up a VM somewhere!