FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. Sesterce Cloud records 2,158 monthly visits with -82% growth and Paid pricing.
Gigawatt-scale AI compute, built and operated end to end
Rent high-performance European GPUs by the hour for AI and HPC
| Dimension / Metric | | |
|---|---|---|
| Official Domain | fluidstack.io | cloud.sesterce.com |
| Pricing Model | Paid, Contact for Pricing | Paid |
| Monthly Visits | 154.62K (154,620) | 2.16K (2,158) |
| MoM Traffic Delta | +10.49K (+7.3%) | -9.8K (-82%) |
| Primary Market & Share | 🇺🇸 United States (95.7%) | 🇳🇱 Netherlands (98.5%) |
| Direct Visits / mo | 47.87K | 594 |
| User Rating | 4.4 | 4.3 |
| Supported Platforms | Website | Website |
Gigawatt-scale AI compute, built and operated end to end
FluidStack designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds.
Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.
The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.
Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.
Rent high-performance European GPUs by the hour for AI and HPC
Deploy single-GPU or multi-GPU instances in minutes from a public catalog of H200, H100, A100, GAUDI2, RTX and L40S hardware.
Reserve bare-metal nodes and multi-GPU clusters with dedicated vRAM, vCPU and RAM for large training runs.
Every GPU class is listed with an hourly rate and available regions, so you can compare cost before launching.
Attach persistent volumes, use the documented API and manage everything from a single web console.
SpecialistDelivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
SpecialistDelivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
The AI developer cloud for GPU pods, serverless inference and clustering
SpecialistFocuses on optimized serverless inference APIs and managed model hosting rather than raw cluster rentals.
SpecialistFocuses on optimized serverless inference APIs and managed model hosting rather than raw cluster rentals.
Rent cloud GPUs by the second from a global marketplace
Rent cloud GPUs by the second from a global marketplace
SpecialistProvides serverless Python container execution for cloud jobs, but lacks raw multi-node cluster provisioning controls.
SpecialistProvides serverless Python container execution for cloud jobs, but lacks raw multi-node cluster provisioning controls.
An AI-native cloud built from silicon to API for training, tuning, and serving models
An AI-native cloud built from silicon to API for training, tuning, and serving models
Free / Open-sourceDistributed GPU cloud that orchestrates the world's idle consumer GPUs
Free / Open-sourceDistributed GPU cloud that orchestrates the world's idle consumer GPUs
SpecialistUtilizes proprietary wafer-scale processors for extreme training speeds, differing from standard NVIDIA GPU cluster setups.
SpecialistUtilizes proprietary wafer-scale processors for extreme training speeds, differing from standard NVIDIA GPU cluster setups.
SpecialistSpecializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals.
Free / Open-sourceThe AI cloud built by the creators of PyTorch Lightning
Free / Open-sourceThe AI cloud built by the creators of PyTorch Lightning
Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
Agent-first GPU cloud: rent NVIDIA pods by the second from your terminal or API
Agent-first GPU cloud: rent NVIDIA pods by the second from your terminal or API
