Nebius: Offers enterprise-grade bare-metal NVIDIA clusters for heavy workloads, but requires more manual cluster configuration. Lightning AI records 272,562 monthly visits with -12.3% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Nebius records 1,145,711 monthly visits with +10.7% growth and Paid, Contact for Pricing pricing.
The AI cloud built by the creators of PyTorch Lightning
An AI-native cloud built from silicon to API for training, tuning, and serving models
| Dimension / Metric | ||
|---|---|---|
| Official Domain | lightning.ai | nebius.com |
| Pricing Model | Freemium, Paid, Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 272.56K (272,562) | 1.15M (1,145,711) |
| MoM Traffic Delta | -38.07K (-12.3%) | +110.83K (+10.7%) |
| Primary Market & Share | 🇺🇸 United States (31.8%) | 🇺🇸 United States (46.8%) |
| Direct Visits / mo | 142.09K | 447.89K |
| User Rating | 4.7 | 4.5 |
| Supported Platforms | Website | Website |
The AI cloud built by the creators of PyTorch Lightning
Spin up single GPUs, full nodes or reserved clusters by the second, selectable from T4 and L4 up to A100, H100, H200, B200 and TPUs, with no long-term contract required.
Ready-to-code environments with CUDA, PyTorch and common libraries preinstalled, usable from the browser, a local IDE or a terminal, with automatic sleep to stop idle spend.
Launch distributed training jobs and large-scale data preparation across multi-node GPU and high-CPU machines, with interruptible instances at up to about 80% off.
Turn a checkpoint into an endpoint or app without rewriting infrastructure code, and host public app links or private model APIs with configurable rate limits.
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.
SpecialistSimplifies model deployment and fine-tuning via standardized APIs, but offers less granular control over raw GPU clusters.
SpecialistSimplifies model deployment and fine-tuning via standardized APIs, but offers less granular control over raw GPU clusters.
SpecialistProvides ultra-fast inference for open-weight foundation models, but is less suited for custom distributed model training workflows.
SpecialistProvides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
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.
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.
SpecialistOptimized specifically for ultra-fast serverless model deployments and real-time APIs, but offers fewer custom cluster options.
SpecialistOptimized specifically for ultra-fast serverless model deployments and real-time APIs, but offers fewer custom cluster options.
