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Beam Cloud

Paid

Serverless GPU cloud for running AI workloads, training, and inference.

APICloudPython SDK

Tool Info

Categories
Deployment · Cloud Platforms
Developer
Beam
Official Website
beam.cloud
Repository
N/A
Official Docs

Overview

Beam Cloud provides serverless GPU infrastructure for AI inference and training.

Developers deploy Python functions that scale on demand.

Alternative to Modal for GPU serverless workloads.

Features

  • Serverless GPUs
  • Python SDK
  • Volume storage
  • Web endpoints

Pricing

Free tier available
Free creditsPay-per-use

Pros

  • Simple GPU serverless
  • Pay per second
  • Quick deploy

Best For

Serverless GPU inferenceModel fine-tuning jobsBatch processing

When NOT to Use

  • Smaller than Modal/RunPod
  • Cold start considerations

Typical Users

Indie developersML engineers

Related Tools

KServe
Kubernetes-native serverless model serving platform.
BentoML
Unified framework for packaging and deploying ML models as APIs.
Modal
Serverless cloud platform for running ML models and data pipelines.

Alternatives

Modal
Serverless cloud platform for running ML models and data pipelines.
RunPod
GPU cloud for running AI workloads with serverless and pod options.
Inferless
Serverless ML inference platform with fast cold starts and custom runtimes.

Tags

#deployment#gpu#serverless

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