Beam Cloud vs AWS Lambda
A detailed comparison to help you choose between Beam Cloud and AWS Lambda.
Quick Verdict
3.6/5
Beam Cloud
0 reviews
4.1/5
AWS Lambda
0 reviews
AWS Lambda is rated higher (4.1 vs 3.6). 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. AWS Lambda is the original FaaS service — run code without servers. Supports 15+ runtimes, 1M free requests/month, and integrates deeply with 200+ AWS services. Triggered by S3, DynamoDB, API Gateway, and more.
Beam Cloud Serverless GPU infrastructure with per-second billing and instant scaling |  AWS Lambda The original serverless functions service | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (0 reviews) | 4.1 (0 reviews)✓ |
| Pricing model | freemium | freemium (pay per request + GB-second; MicroVMs/Managed Instances metered differently) |
| Starting price | Free tier available | Free tier available |
| Best for | Teams shipping AI inference, agent sandboxes, and spiky GPU workloads who want per-second pricing and the option to self-host or run on their own cloud credits. | AWS developers building event-driven, variable-traffic workloads — webhooks, media processing, scheduled jobs, API backends — who want to stop managing servers entirely |
| Features | ||
| IPv6 | ||
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | — | All 39 AWS regions / 124 AZs |
| Tags | ||
| Tags | free tiergpu availableus datacenterapi access | free tierapi accessus datacentereu datacenterapac datacenter |
| Visit Beam Cloud → | Visit AWS Lambda → | |
Beam Cloud
Pros
- + Aggressive GPU pricing: H100 PCIE from $1.83/hr on-demand, RTX 4090 serverless at $0.000192/sec
- + Free Developer tier with $30 compute credits every month and no mandatory production subscription
- + Open-source beta9 runtime (AGPL-3.0) with self-host and BYOC on AWS/GCP/Azure
- + Millisecond billing with scale-to-zero; sandboxes with GPU support and GPU checkpoint restore
- + Published per-second and per-hour rates with a transparent cost calculator
Cons
- - No published uptime SLA; young company with a small team behind it
- - Multiple billing units (per-second, per-hour, per-core-second, management fees) make comparison hard
- - Cold-start figures are vendor claims; uncached large images and weight downloads are slower
- - Managed fleet's regional footprint is not published; BYOC assumes you already run a cloud account
- - Container platform, not a VPS — no bare-metal root or kernel-level control on the serverless line
AWS Lambda
Pros
- + Zero idle cost with a free tier that covers small products: 1M requests and 400,000 GB-seconds monthly
- + Graviton pricing at $0.0000133334 per GB-second undercuts x86 by roughly 20%
- + Automatic multi-AZ scaling with a 99.95% per-region SLA and no capacity planning
- + Deep event integration across AWS services, with three form factors (Event/Web Functions, MicroVMs)
Cons
- - Per-request and GB-second pricing gets expensive against committed compute at steady high utilization
- - Cold starts — hundreds of milliseconds to seconds depending on runtime — with provisioned concurrency as an extra meter
- - 15-minute execution limit and payload caps make it wrong for long-running batch work
- - AWS-specific event plumbing creates real lock-in; distributed event chains are hard to debug
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