FluidStack: Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads. FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. Salad records 713,519 monthly visits with +10.4% growth and Free Trial, Paid, Contact for Pricing pricing.
Gigawatt-scale AI compute, built and operated end to end
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
| Dimension / Metric | | |
|---|---|---|
| Official Domain | fluidstack.io | salad.com |
| Pricing Model | Paid, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 154.62K (154,620) | 713.52K (713,519) |
| MoM Traffic Delta | +10.49K (+7.3%) | +67.49K (+10.4%) |
| Primary Market & Share | 🇺🇸 United States (95.7%) | 🇺🇸 United States (40.9%) |
| Direct Visits / mo | 47.87K | 440.92K |
| 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.
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
Schedules, monitors and reallocates Docker/OCI workloads across thousands of distributed GPU nodes, with failover when nodes disappear.
On-demand access to a distributed pool of idle consumer GPUs across 190+ countries with priority pricing from about $0.015 per GPU-hour.
A managed token endpoint for open-weight models priced per token, with your data never used for training.
Run the same orchestration stack inside your organisation, pooling idle workstation GPUs into an internal OpenAI-compatible service.
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.
Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool.
Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool.
SpecialistSpecializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals.
SpecialistSpecializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals.
Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration.
Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration.
SpecialistDelivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs.
SpecialistDelivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs.
Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point.
Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point.
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.
SpecialistOffers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.
Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.
SpecialistScales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.
SpecialistScales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.
Private AI cloud for training and inference workloads
Private AI cloud for training and inference workloads
SpecialistOptimizes fast cold starts for real-time model inference, but lacks generalized container orchestration features.
SpecialistOptimizes fast cold starts for real-time model inference, but lacks generalized container orchestration features.
