Nebius: Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point. Nebius records 1,145,711 monthly visits with +10.7% 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.
An AI-native cloud built from silicon to API for training, tuning, and serving models
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
| Dimension / Metric | | |
|---|---|---|
| Official Domain | nebius.com | salad.com |
| Pricing Model | Paid, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 1.15M (1,145,711) | 713.52K (713,519) |
| MoM Traffic Delta | +110.83K (+10.7%) | +67.49K (+10.4%) |
| Primary Market & Share | 🇺🇸 United States (46.8%) | 🇺🇸 United States (40.9%) |
| Direct Visits / mo | 447.89K | 440.92K |
| User Rating | 4.5 | 4.3 |
| Supported Platforms | Website | Website |
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.
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.
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 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.
SpecialistOffers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
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.
Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.
Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.
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.
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.
