Nebius: Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach. Modal records 1,196,021 monthly visits with +30.2% month-over-month growth and Freemium, Contact for Pricing pricing. Nebius records 1,145,711 monthly visits with +10.7% growth and Paid, Contact for Pricing pricing.
Serverless cloud infrastructure for AI and data workloads
An AI-native cloud built from silicon to API for training, tuning, and serving models
| Dimension / Metric | ||
|---|---|---|
| Official Domain | modal.com | nebius.com |
| Pricing Model | Freemium, Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 1.2M (1,196,021) | 1.15M (1,145,711) |
| MoM Traffic Delta | +277.18K (+30.2%) | +110.83K (+10.7%) |
| Primary Market & Share | 🇺🇸 United States (43.9%) | 🇺🇸 United States (46.8%) |
| Direct Visits / mo | 845.64K | 447.89K |
| User Rating | 4.8 | 4.5 |
| Supported Platforms | Website | Website |
Serverless cloud infrastructure for AI and data workloads
Write plain Python, attach GPUs or containers, and deploy HTTPS endpoints that autoscale with traffic and scale to zero when idle.
Launch isolated, secure environments for coding agents, RL rollouts, and untrusted code, with sub-second starts and support for over a million concurrent sandboxes.
Run fine-tunes, LoRA, full training, and reinforcement learning on elastic single or multi-node GPU capacity with no quota requests.
Serve LLMs and image, video, or audio models through OpenAI-compatible endpoints, or bring your own inference stack and let Modal handle the infrastructure.
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.
Easier model packaging via Cog, but offers less arbitrary serverless Python container execution than Modal.
Easier model packaging via Cog, but offers less arbitrary serverless Python container execution than Modal.
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.
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.
Delivers dedicated bare-metal NVIDIA GPU servers and custom clusters, but with a less automated developer platform experience.
Delivers dedicated bare-metal NVIDIA GPU servers and custom clusters, but with a less automated developer platform experience.
