Cerebrium records 26,974 monthly visits with -50.8% month-over-month growth and Free Trial, Paid pricing. FluidStack records 154,620 monthly visits with +7.3% growth and Paid, Contact for Pricing pricing.
Serverless GPUs for real-time AI with sub-second cold starts
Gigawatt-scale AI compute, built and operated end to end
| Dimension / Metric | | |
|---|---|---|
| Official Domain | cerebrium.ai | fluidstack.io |
| Pricing Model | Free Trial, Paid | Paid, Contact for Pricing |
| Monthly Visits | 26.97K (26,974) | 154.62K (154,620) |
| MoM Traffic Delta | -27.82K (-50.8%) | +10.49K (+7.3%) |
| Primary Market & Share | 🇺🇸 United States (22.3%) | 🇺🇸 United States (95.7%) |
| Direct Visits / mo | 15.05K | 47.87K |
| User Rating | 4.3 | 4.4 |
| Supported Platforms | Website | Website |
Serverless GPUs for real-time AI with sub-second cold starts
Memory and GPU snapshotting restores containers in roughly 2–4 seconds, which is essential for voice agents and other interactive workloads.
Access thousands of GPUs across 12+ GPU types and multiple clouds with no reservations or lock-in, scaling automatically on traffic bursts.
Deploy LLMs, voice pipelines, and image or video models from your own code or Dockerfile, with REST, WebSocket, and streaming endpoints.
Real-time logs, metrics, and scaling events with native OpenTelemetry support for plugging into existing monitoring tools.
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.
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 flexible on-demand GPU rentals and serverless endpoints, but lacks FluidStack's ultra-scale enterprise GPU clusters.
Offers flexible on-demand GPU rentals and serverless endpoints, but lacks FluidStack's ultra-scale enterprise GPU clusters.
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.
Delivers peer-to-peer GPU rental marketplaces for lower-cost experimentation, though with less enterprise infrastructure predictability.
Delivers peer-to-peer GPU rental marketplaces for lower-cost experimentation, though with less enterprise infrastructure predictability.
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.
Provides dedicated NVIDIA GPU clusters and managed cloud infrastructure, competing directly on enterprise-grade training workloads.
Provides dedicated NVIDIA GPU clusters and managed cloud infrastructure, competing directly on enterprise-grade training workloads.
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.
The AI cloud built by the creators of PyTorch Lightning
One cloud for 200+ model APIs, agent sandboxes and GPU compute
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.
