Beam Cloud vs Cloudflare Workers
A detailed comparison to help you choose between Beam Cloud and Cloudflare Workers.
Beam Cloud Serverless GPU infrastructure with per-second billing and instant scaling | Cloudflare Workers Deploy serverless code globally on Cloudflare's edge network | |
|---|---|---|
| Overview | ||
| Rating | 4.3 (307 reviews) | 4.6 (437 reviews)✓ |
| Pricing model | usage-based | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Teams deploying AI inference APIs, batch ML jobs, or GPU-accelerated workloads that need cost-efficient scaling without long-term commitments. | Teams building latency-sensitive APIs, middleware, and dynamic content serving that need global distribution without provisioning servers. |
| Specifications (entry plan) | ||
| CPU cores | — | 0 vCPU |
| RAM | — | 0 GB |
| Storage | — | 0 GB |
| Bandwidth | — | 0 TB/mo |
| SLA uptime | — | 99.99% |
| Data-center count | — | 300 |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | — | Global — 300+ cities |
| Tags | ||
| Tags | free tiergpu availableus datacenterapi access | free tierddos protectionipv6eu datacenterus datacenterapac datacenterapi accessopen source |
| Visit Beam Cloud → | Visit Cloudflare Workers → | |
Beam Cloud
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
Cloudflare Workers
Pros
- + Execute code in sub-50ms globally across Cloudflare's network
- + Eliminate cold starts with always-hot edge execution
- + Integrate directly with Cloudflare's DDoS protection and caching
- + Support multiple languages including JavaScript, Python, and Rust
- + Scale automatically without managing infrastructure
Cons
- - CPU time limits (10ms free tier) restrict computation-heavy workloads
- - Learning curve for developers unfamiliar with edge computing paradigms
- - Vendor lock-in with proprietary APIs like Durable Objects
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