Serverless GPUs

for AI Inference

Run scalable, high-throughput inference workloads.
Fast, powerful, and built for developers.

Backed by

TRUSTED BY COMPANIES OF ALL SIZES

Prototype Rapidly.
Scale Effortlessly.

Powerful Primitives

Built From the Ground-up for the Fastest Cold Start

Deploy a serverless endpoint with a single command. Your APIs come batteries-included with authentication, autoscaling, logging, and a full suite of metrics.

app.py

from beam import endpoint

@endpoint(gpu="A100-40", keep_warm_seconds=60)
def inference():
    llm = vllm.LLM(model="facebook/opt-125m")
    return {"prediction": llm.generate("The future of AI is")[0].text}

GPU Autoscaling

Scale Out Workloads to Hundreds of Containers

Scale your workloads vertically by running multiple inputs in the same container.

app.py

from beam import endpoint

@endpoint(workers=5, on_start=load_models)
def inference():
    llm = vllm.LLM(model="facebook/opt-125m")
    return {"prediction": llm.generate("The future of AI is")[0].text}

Web Services

Run Anything, from llama.cpp to Jupyter

Host any Streamlit or Gradio app on the cloud, behind an SSL-backed REST API.

Iterate Remarkably Fast

Magical Hot Reloading

Run your code on any hardware, practically instantly. You only need to change one line of Python to run your app on a different GPU.

Easy Local Debugging

We make it easy to test your code before deploying it, using the exact configuration you'll run in production.

Multiple Workers Per Container

Scale vertically by running multiple workers on the same container.

Import Remote Dockerfiles

Bootstrap containers with images from remote registries.

Deploy from Github Actions

Deploy your APIs automatically by adding Beam to your existing CI/CD pipeline.

Your trusted partner for production

Beam is the infrastructure provider for the world's fastest growing products. We are built to scale with companies who need performance, control, and reliability.

Fast Support

We're really active in our Slack Community. If you have any questions, we'll reply fast.

Autoscaling

Scale to infinity, scale back to zero. We run a lot of apps in production, so we know what you need.

Logging and Monitoring

Container logs, cold start metrics, latency profiling, and more. It's all in the dashboard.

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!

Launch your app in minutes

Get started with 15 hours of free usage