Beam Cloud
Serverless GPU infrastructure with per-second billing and instant scaling
Beam Cloud provides serverless GPU and CPU compute for AI model serving and data pipelines. Scale to zero when not running. Python SDK for easy integration. Pay only for compute used.
Beam Cloud offers serverless GPU infrastructure with per-second billing granularity, eliminating overprovisioning costs. Deploy containerized workloads that scale from zero with minimal latency. Supports NVIDIA GPUs (H100, A100, L40S) and integrates with standard container workflows. Features include automatic scaling policies, metrics monitoring, and volume persistence for state management.
Pros
- Pay only for compute used with per-second granularity, no minimum charges
- Scale to zero automatically between requests, reducing idle infrastructure costs
- Deploy containerized workloads with no vendor lock-in using standard Docker images
- Integrate GPU-accelerated inference models directly into Python applications
Cons
- Limited regional availability compared to major cloud providers
- Requires containerization knowledge; less suitable for simple HTTP endpoints
- Per-request cold start latency may exceed 5 seconds on first invocation
Best For
Teams deploying AI inference APIs, batch ML jobs, or GPU-accelerated workloads that need cost-efficient scaling without long-term commitments.
Pricing
Pay As You Go
- Core features included
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