Cerebrium: Optimized specifically for ultra-fast serverless model deployments and real-time APIs, but offers fewer custom cluster options. Cerebrium records 26,974 monthly visits with -50.8% month-over-month growth and Free Trial, Paid pricing. Nebius records 1,145,711 monthly visits with +10.7% growth and Paid, Contact for Pricing pricing.
Serverless GPUs for real-time AI with sub-second cold starts
An AI-native cloud built from silicon to API for training, tuning, and serving models
| Dimension / Metric | | |
|---|---|---|
| Official Domain | cerebrium.ai | nebius.com |
| Pricing Model | Free Trial, Paid | Paid, Contact for Pricing |
| Monthly Visits | 26.97K (26,974) | 1.15M (1,145,711) |
| MoM Traffic Delta | -27.82K (-50.8%) | +110.83K (+10.7%) |
| Primary Market & Share | 🇺🇸 United States (22.3%) | 🇺🇸 United States (46.8%) |
| Direct Visits / mo | 15.05K | 447.89K |
| User Rating | 4.3 | 4.5 |
| 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.
An AI-native cloud built from silicon to API for training, tuning, and serving models
Bare-metal access to NVIDIA GB300, B300, GB200, B200, H200, H100, RTX PRO 6000, and L40S GPUs connected over InfiniBand for training and inference at scale.
A managed inference service for running popular open and frontier models through an API, so applications can add LLM capabilities without owning GPUs.
Built-in Kubernetes, Soperator for Slurm jobs, PostgreSQL, and MLflow give teams a ready-made environment for orchestration, tracking, and experiments.
Choose on-demand, preemptible, or live market-driven spot capacity, or commit to reserved clusters for discounts on long-running workloads.
SpecialistTailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
SpecialistTailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
Offers flexible on-demand GPU rentals and serverless pods, but focuses more on flexible developer instances than turnkey enterprise clusters.
Offers flexible on-demand GPU rentals and serverless pods, but focuses more on flexible developer instances than turnkey enterprise clusters.
Provides robust serverless inference APIs and GPU clusters for open-source models, but with less emphasis on raw bare-metal control.
Provides robust serverless inference APIs and GPU clusters for open-source models, but with less emphasis on raw bare-metal control.
Features a peer-to-peer GPU rental marketplace with lower pricing, though with variable hardware reliability compared to managed infrastructure.
Features a peer-to-peer GPU rental marketplace with lower pricing, though with variable hardware reliability compared to managed infrastructure.
SpecialistExecutes Python workloads and model inference in serverless containers effortlessly, but lacks bare-metal cluster management.
SpecialistExecutes Python workloads and model inference in serverless containers effortlessly, but lacks bare-metal cluster management.
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
SpecialistProvides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
SpecialistProvides interactive development studios and on-demand GPUs for training, but focuses more on PyTorch workflows than raw infrastructure.
SpecialistProvides interactive development studios and on-demand GPUs for training, but focuses more on PyTorch workflows than raw infrastructure.
SpecialistCombines model APIs and serverless GPU jobs, but lacks the enterprise-grade bare-metal infrastructure orchestration of Nebius.
Specializes in large-scale enterprise data center GPU clusters for heavy training, though less tailored for instant serverless functions.
Specializes in large-scale enterprise data center GPU clusters for heavy training, though less tailored for instant serverless functions.
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.
SpecialistBuilt on Ray for distributed model training and scaling workloads, but relies on underlying cloud providers rather than owned GPUs.
SpecialistBuilt on Ray for distributed model training and scaling workloads, but relies on underlying cloud providers rather than owned GPUs.
