FluidStack vs Beam Cloud
A detailed comparison to help you choose between FluidStack and Beam Cloud.
Quick Verdict
3.6/5
FluidStack
0 reviews
3.6/5
Beam Cloud
0 reviews
Both FluidStack and Beam Cloud are equally rated at 3.6/5. FluidStack aggregates GPU capacity from multiple providers to offer H100, A100, and consumer GPU instances. Pay-as-you-go and reserved capacity. EU and US datacenters with competitive pricing. 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.
FluidStack Enterprise GPU cloud at competitive pricing | 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 | From $1.3/mo | Free tier available✓ |
| Best for | AI labs and platform teams committing to 8-10k+ GPUs for training or heavy inference who want managed Slurm/Kubernetes, per-GPU-hour transparency, and a hands-on infrastructure partner | 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 | Canada, Netherlands, Norway, Sweden | — |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenterus datacenter | free tiergpu availableus datacenterapi access |
| Visit FluidStack → | Visit Beam Cloud → | |
FluidStack
Pros
- + Published per-GPU-hour rate card with no egress or ingress fees
- + Fully managed Slurm and Kubernetes on bare metal with 24/7 engineering support
- + Scales from 8 GPUs on-demand to 10k+ reserved — cluster sizes most clouds cannot match quickly
- + EU capacity in the Netherlands and Nordics for data-residency-sensitive training
- + Engineering response times measured in hours by SemiAnalysis during ClusterMAX testing
Cons
- - Aggregated third-party capacity means hardware and day-one polish vary by deployment
- - Contract-first commercial model — 8-GPU on-demand floor, 256-GPU reserved floor, no free tier
- - No public uptime SLA, datacenter list, or documentation library
- - Reactive software supply chain security — unpatched NVIDIA container toolkit found at cluster handover in evaluation
- - Track record is short relative to the scale of its recent customer commitments
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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