CoreWeave vs Beam Cloud
A detailed comparison to help you choose between CoreWeave and Beam Cloud.
Quick Verdict
3.6/5
CoreWeave
0 reviews
3.6/5
Beam Cloud
0 reviews
Both CoreWeave and Beam Cloud are equally rated at 3.6/5. CoreWeave is a purpose-built GPU cloud for AI — 40,000+ NVIDIA GPUs including H100, A100, and RTX. Used by OpenAI, Mistral, and Cohere. Kubernetes-native and connected to NVIDIA. 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.
CoreWeave Purpose-built cloud for AI and GPU workloads | Beam Cloud Serverless GPU infrastructure with per-second billing and instant scaling | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (0 reviews) | 3.6 (0 reviews) |
| Pricing model | usage-based | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | AI labs and ML teams running sustained training or high-throughput inference where dedicated GPUs, NVLink/InfiniBand and a real uptime SLA justify premium pricing | 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. |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | 50+ data centers across the United States and Europe | — |
| Tags | ||
| Tags | hourly billinggpu availableus datacenterapi accesskubernetes support | free tiergpu availableus datacenterapi access |
| Visit CoreWeave → | Visit Beam Cloud → | |
CoreWeave
Pros
- + Published public pricing for the main GPU lines — H100 node $49.24/hr on-demand, $19.71/hr spot — which is more transparency than most GPU clouds offer
- + Broad NVIDIA catalog (L40 to GB300 NVL72) with managed Kubernetes and Slurm control planes included and InfiniBand at up to 3,200 Gbps
- + Contractual reliability: 99.9% cross-region SLA (99% single region) with service credits, plus SOC 2 and ISO posture
- + 50+ data centers across the US and Europe, and S3-compatible object storage for training data and checkpoints
Cons
- - Premium per-GPU rates versus spot resellers — often 2-3x higher per GPU-hour for comparable silicon
- - Whole 8-GPU nodes are the default unit of sale; some configurations still route through sales and component pricing (classic line) complicates the bill
- - No cheap entry tier and no general-purpose cloud story — the fit is poor for anything that is not GPU-bound
- - Counterparty concentration: heavy NVIDIA dependence plus the debt-financed build-out of a young public company
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
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