FluidStack vs Google Cloud (GCP)
A detailed comparison to help you choose between FluidStack and Google Cloud (GCP).
Quick Verdict
3.6/5
FluidStack
0 reviews
3.9/5
Google Cloud (GCP)
0 reviews
Google Cloud (GCP) is rated higher (3.9 vs 3.6). 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. Known for its data analytics and AI tooling (BigQuery, Vertex AI).
FluidStack Enterprise GPU cloud at competitive pricing | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (0 reviews) | 3.9 (0 reviews)✓ |
| Pricing model | usage-based | pay-as-you-go |
| 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 | Data- and ML-centric teams already building on BigQuery, GKE, or Vertex AI, and workloads that need a published multi-zone SLA or data residency in one of 43 regions. |
| 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 tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit FluidStack → | Visit Google Cloud (GCP) → | |
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
Google Cloud (GCP)
Pros
- + Best published SLA set in the comparison: 99.99% multi-zone, 99.9% single-instance
- + 43 regions and 130 zones with per-region price variance you can trade against latency
- + Per-second billing and three discount levers — Spot up to 91% off, commitments up to 55–70%
- + Live migration through host maintenance; deep integration with GKE, BigQuery, Vertex AI
- + Real free entry: $300 trial credit that never auto-charges, plus an Always Free e2-micro VM
Cons
- - Poor price-performance for plain VMs versus European VPS specialists; no bundled transfer
- - Egress is expensive ($0.12/GiB Premium) and billed as a separate line item
- - Sustained use discounts don't apply to E2 and N4 — the families entry buyers choose
- - Budgets alert but don't cap Compute Engine spend; human support costs from $29/month
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