FluidStack vs CoreWeave
A detailed comparison to help you choose between FluidStack and CoreWeave.
Quick Verdict
3.6/5
FluidStack
0 reviews
3.6/5
CoreWeave
0 reviews
Both FluidStack and CoreWeave 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. 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.
FluidStack Enterprise GPU cloud at competitive pricing | CoreWeave Purpose-built cloud for AI and GPU workloads | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (0 reviews) | 3.6 (0 reviews) |
| Pricing model | usage-based | usage-based |
| 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 | 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 |
| 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 | 50+ data centers across the United States and Europe |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenterus datacenter | hourly billinggpu availableus datacenterapi accesskubernetes support |
| Visit FluidStack → | Visit CoreWeave → | |
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
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
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