What is Beam.cloud?
Beam is a serverless infrastructure platform designed for generative AI, enabling users to deploy inference endpoints, train AI models, and run task queues on scalable GPU-powered infrastructure. With fast cold starts, pay-per-second pricing, and automatic scaling, Beam offers a seamless and cost-effective solution for AI/ML workloads.
Key Features
🚀 Deploy Serverless Inference APIsDeploy inference endpoints with a single command, complete with authentication, autoscaling, logging, and comprehensive metrics.
🛠 Run Task QueuesManage and scale task queues with ease, ensuring efficient processing of high-volume workloads.
🧠 Train LLMs and Gen AI ModelsTrain large language models and generative AI models with powerful GPU support, achieving faster training times and better performance.
🗂 Data ManagementStore and access files and model artifacts using highly performant, globally distributed cloud volumes.
📈 GPU AutoscalingAutomatically scale out workloads to hundreds of GPUs, ensuring optimal resource utilization and cost efficiency.
Use Cases
Deploying AI Models in ProductionQuickly deploy and scale AI models for real-time inference in production environments.
Training Complex AI ModelsTrain large-scale AI models with minimal setup and management overhead.
Managing High-Volume Data ProcessingEfficiently process and scale data-intensive tasks using task queues and distributed storage.
Conclusion
Beam offers a robust and flexible solution for AI/ML workloads, enabling users to deploy, train, and manage models with ease. The combination of serverless infrastructure, pay-per-second pricing, and automatic scaling makes Beam an ideal choice for developers and organizations looking to streamline their AI operations without the complexities of infrastructure management.
FAQs
How do I get started with Beam?Sign up for a Beam account, install the Beam SDK using
pip install beam-client, and start deploying your AI/ML workloads with simple Python commands.What types of workloads can I run on Beam?Beam supports a wide range of AI/ML workloads, including training large language models, deploying inference endpoints, and managing task queues.
Is Beam cost-effective?Yes, Beam offers pay-per-second pricing and automatic scaling, ensuring you only pay for the resources you use, making it a cost-effective solution for AI/ML projects.
More information on Beam.cloud
Launched
2019-07
Pricing Model
Paid
Starting Price
Global Rank
469310
Follow
Month Visit
61.8K
Tech used
Amazon AWS CloudFront,Gzip,HTTP/3,OpenGraph,Progressive Web App,HSTS,Amazon AWS S3
Top 5 Countries
19.47%
10.18%
7.56%
6.52%
3.97%
France
United States
India
Canada
Korea, Republic of
Traffic Sources
8.04%
0.82%
0.34%
13.78%
40.69%
36.22%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 24, 2025)
Beam.cloud was manually vetted by our editorial team and was first featured on 2024-10-03.
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