TensorDock vs FluidStack
A detailed comparison to help you choose between TensorDock and FluidStack.
Quick Verdict
3.8/5
TensorDock
0 reviews
3.6/5
FluidStack
0 reviews
TensorDock is rated higher (3.8 vs 3.6). TensorDock is a GPU compute marketplace with per-second billing — H100 SXM5 from $2.80/hour and A100 from $1.50/hour (A100 PCIe 80GB) on its published rate card. 100+ locations in 20+ countries, on-demand provisioning. 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.
TensorDock Affordable GPU cloud compute without long-term contracts | FluidStack Enterprise GPU cloud at competitive pricing | |
|---|---|---|
| Overview | ||
| Rating | 3.8 (0 reviews)✓ | 3.6 (0 reviews) |
| Pricing model | usage-based | usage-based |
| Starting price | From $0.1/mo✓ | From $1.3/mo |
| Best for | Cost-conscious ML engineers, researchers and studios running training with checkpointing, batch inference or rendering, especially where consumer GPUs like the RTX 4090 fit the workload | 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 |
| Specifications (entry plan) | ||
| CPU cores | 2 vCPU | — |
| RAM | 4 GB | — |
| Storage | 20 GB | — |
| Bandwidth | — | — |
| SLA uptime | 99.99% | — |
| Data-center count | 100 | — |
| €/vCPU/mo | €0.05 | — |
| €/GB RAM/mo | €0.03 | — |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | 100+ marketplace locations in over 20 countries (US, EU, Asia-Pacific); tier 3/4 data centers plus community hosts | Canada, Netherlands, Norway, Sweden |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenterus datacenter | hourly billinggpu availableeu datacenterus datacenter |
| Visit TensorDock → | Visit FluidStack → | |
TensorDock
Pros
- + Among the lowest published GPU rates anywhere: RTX 4090 at $0.35/hr, H100 SXM5 at $2.85/hr typical
- + A la carte, per-second billing for vCPU, RAM and NVMe — pay only for the configuration you need
- + Breadth: 45 GPU models across 100+ locations in 20+ countries, with an API for automation
- + Published rate card and transparent explanation of why the same GPU has multiple prices
- + Host vetting, host SSH access revoked, and a 99.99% uptime standard for listed hosts
Cons
- - Marketplace variance: host redundancy and quality differ, with cheaper listings often least redundant
- - Email-only support with multi-hour response windows; no contractual SLA with credits
- - Prepaid balance model deletes servers when the balance reaches zero
- - Published rate card is stamped July 2024 and carries a no-guarantee disclaimer
- - Fewer managed niceties (templates, serverless) than RunPod, Lambda or hyperscalers
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
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