CoreWeave vs FluidStack
A detailed comparison to help you choose between CoreWeave and FluidStack.
Quick Verdict
3.6/5
CoreWeave
0 reviews
3.6/5
FluidStack
0 reviews
Both CoreWeave and FluidStack 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. 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 Purpose-built cloud for AI and GPU workloads | FluidStack Enterprise GPU cloud at competitive pricing | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (0 reviews) | 3.6 (0 reviews) |
| Pricing model | usage-based | usage-based |
| Starting price | Free tier available | From $1.3/mo |
| 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 | 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 |
| 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 | Canada, Netherlands, Norway, Sweden |
| Tags | ||
| Tags | hourly billinggpu availableus datacenterapi accesskubernetes support | hourly billinggpu availableeu datacenterus datacenter |
| Visit CoreWeave → | Visit FluidStack → | |
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
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
Stay in the loop
Get weekly updates on the best new hosting and infrastructure providers, deals, and comparisons.
No spam. Unsubscribe anytime.