beam-cloud

AI Infrastructurefor DevelopersRun sandboxes, inference, and training with ultrafast boot times, instant autoscaling, and a developer experience that just works.Get StartedTalk to an EngineerLearn more about sandboxes ⟶TRUSTED BY THE BEST AI COMPANIESCase studyCase studyWe help AI teams ship fasterAgentic EnvironmentsSecure Runtime for AgentsCoding Environments for AI AgentsProvide your users with a secure environment to run and test agent-generated code. Built for AI agents, code interpreters, or any application that needs to execute untrusted code at scale.Stateful, Persistent RuntimesUltrafast Boot Timesapp.pyfrom beam import Image, Sandbox sb = Sandbox(image=Image()).create() sb.process.run_code("print('hello from the sandbox!')").result sb.terminate()Powerful PrimitivesDynamic Container EnvironmentsPause and Resume SessionsCapture the complete state of any sandbox - including filesystem, memory, and running processes - as an immutable snapshot.Bring your own DockerfileRun File System Operationsapp.pyfrom beam import Sandbox sandbox = Sandbox(cpu=1).create() sandbox.create_image_from_filesystem() sandbox.snapshot_memory() sandbox.terminate()AutoscalingElastic GPU ScalingScale to zero when idle, burst to thousands in secondsScale up and down with traffic. Pay only for actual compute time down to the CPU cycle.Sub-second cold startsRun workloads across cloudsRun on our cloud, or yours.100% open source.Switch hardware in secondsRun your code on any hardware in seconds — just change one line of Python to switch hardware.Easy Local DebuggingWe make it easy to test your code before deploying it, using the exact configuration you'll run in production.Multiple Workers Per ContainerScale vertically by running multiple workers on the same container.Explore DocsImport Remote DockerfilesBootstrap containers with images from remote registries.Explore DocsDeploy from Github ActionsDeploy your APIs automatically by adding Beam to your existing CI/CD pipeline.Explore DocsOne platform for sandboxes, inference, and trainingCustom Model InferenceHost any custom model on GPU or CPU. Bring your own image.Sandboxed Code ExecutionRun LLM-generated code in secure execution environments.Training & Fine-TuningTrain and fine-tune, from SLMs and LLMs to diffusion models.Audio Processing PipelinesDeploy task queues to process large amounts of data.Streamlit and Gradio UIsRun frontend apps, from Streamlit and Gradio apps to Notebooks.Web ScrapingRun Chromium instances - headed or headless - at scale.We help the best AI companies succeedExplore case studiesI love Beam. You don't even need to configure anything. You just push to their Github hook, and all of a sudden you have an app running in the cloud.Ryan KerrSenior Engineer at Magellan AIWe would not have been able to get our API running and win our first enterprise contract without Beam.Daniel HeinenCEO @ Graylark Technologies and GeospyBeam’s infrastructure makes productizing our AI straightforward. We can scale up or down when needed, test new GPU options, and keep our users happy.Dave CarltonFounder @ HooktheoryJoin our communityLouis MorgnerCo-founder, AI lead @ JamieBeam 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 aiBrandon 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 BonnerFounder at Happy AccidentsI 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 EloieMachine Learning EngineerBeam 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 SmithMLE at ShippaboTime is the biggest thing Beam has helped us with. I went from spending 6 hours developing an API to pressing a button and deploying instantlyBrandon BrisbonCTO at Shop GalaxySpun 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 codeDevon PeroutkySoftware EngineerBeam has been a revelation in terms of making it simple to build an ML application on GPUFrankie L.CTO and AI Researcher @ FraseFrase 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 CucoCTO at Ween.aiBeam 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 quicklyJoshua Clanton@joshuaccIf 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! Deploy your app in minutesGet started with $30 of free credit, every monthStart Deploying --- What's this about?The Cloud Platform We Always WantedRunning apps in the cloud can be painful. If you're like us, you want to ship products fast — without having to manage servers, Dockerfiles, or security groups. We built Beam because we wanted to ship ML products faster, without the pain of managing infra ourselves.Today, thousands of developers use Beam to build their applications, without ever having to think about cloud infrastructure.Beam is the product we always wanted for ourselves.We think it's pretty cool.Backed by the best Deploy your app in minutesGet started with $30 of free credit, every monthStart Deploying --- Explore Success StoriesCustomer StoriesMagellan AI Analyzes Podcasts and Scales to 600K Ads in 1 Year With Beam Read case studyHow Hooktheory is Infusing Songwriting with AI—Powered by Beam Read case studyHow Gepetto Achieved Faster Cold Starts While Cutting Infrastructure Costs Read case studyHow Geospy Scaled to 3,000,000 Inference Requests in 1 Month With Beam Read case study Deploy your app in minutesGet started with $30 of free credit, every monthStart Deploying