FluidStack offers reserved H100 clusters, on-demand GPU, and managed Kubernetes for AI/ML teams. Recently partnered with HPE for dedicated training capacity.
Based on 6 user reviews and our independent benchmarks, FluidStack scored 4.3 / 5. A solid choice that delivers on its promises.
Live pricing from FluidStack. Click any plan to view full details on the provider's site.
| Plan | CPU | RAM | Storage | Bandwidth | Location | Price | |
|---|---|---|---|---|---|---|---|
|
RTX 4090
Ubuntu 22.04 with CUDA, PyTorch, TensorFlow · Bare Metal / KVM
|
8 vCPU | 32 GB | 200 GB NVMe | 1 Tbps uplink | 🇬🇧 United Kingdom | $0.66/mo |
Get it |
|
A100 40GB
Ubuntu 22.04 with CUDA, PyTorch, TensorFlow · Bare Metal / KVM
|
16 vCPU | 64 GB | 500 GB NVMe | 1 Tbps uplink | 🇬🇧 United Kingdom | $1.24/mo |
Get it |
|
H100 80GB
Ubuntu 22.04 with CUDA, PyTorch, TensorFlow · Bare Metal / KVM
|
32 vCPU | 128 GB | 1000 GB NVMe | 1 Tbps uplink | 🇬🇧 United Kingdom | $2.87/mo |
Get it |
FluidStack operates across 4 countries to keep your workload close to your users.
Great price-to-performance ratio. Migration was smooth and the dashboard is clean.
Docs are excellent and the API is well-documented. Happy customer.
Support is really knowledgeable — actual engineers, not script readers.
Been using them for months with zero downtime. Support responds quickly when you need them.
Uptime has been flawless. Cannot recommend enough for production workloads.
Had one hiccup in six months, resolved in under an hour. Otherwise perfect.
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Not sold on FluidStack? Here are three strong alternatives worth comparing.
P2P GPU marketplace connecting renters with hosts for 50%+ cheaper compute.
US GPU cloud specializing in affordable A100, H100, and RTX series rentals.
Darling of serious ML engineers — reserved H100 clusters at unbeatable rates.