Nebius records 1,145,711 monthly visits with +10.7% month-over-month growth and Paid, Contact for Pricing pricing. QuickPod records 7,171 monthly visits with -70.4% growth and Paid pricing.
An AI-native cloud built from silicon to API for training, tuning, and serving models
Cheap on-demand GPU and CPU pods, ready in one click
| Dimension / Metric | | |
|---|---|---|
| Official Domain | nebius.com | quickpod.io |
| Pricing Model | Paid, Contact for Pricing | Paid |
| Monthly Visits | 1.15M (1,145,711) | 7.17K (7,171) |
| MoM Traffic Delta | +110.83K (+10.7%) | -17.07K (-70.4%) |
| Primary Market & Share | 🇺🇸 United States (46.8%) | 🇮🇩 Indonesia (100%) |
| Direct Visits / mo | 447.89K | 2.99K |
| User Rating | 4.5 | 4 |
| 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.
Cheap on-demand GPU and CPU pods, ready in one click
Launch on-demand docker pods with GPU or CPU compute from one interface and scale up or down as workloads change.
Every pod ships with a Jupyter environment ready for TensorFlow, PyTorch or any framework you prefer.
Choose from a broad set of locations worldwide so compute sits close to your datasets and end users.
On-demand CPU and GPU pricing is published in the console, so you can compare instance types before you launch.
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.
The AI developer cloud for GPU pods, serverless inference and clustering
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.
Rent cloud GPUs by the second from a global marketplace
Rent cloud GPUs by the second from a global marketplace
Free / Open-sourceServerless cloud infrastructure for AI and data workloads
Free / Open-sourceServerless cloud infrastructure for AI and data 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
SpecialistProvides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
Free / Open-sourceThe AI cloud built by the creators of PyTorch Lightning
Free / Open-sourceThe AI cloud built by the creators of PyTorch Lightning
SpecialistCombines model APIs and serverless GPU jobs, but lacks the enterprise-grade bare-metal infrastructure orchestration of Nebius.
Gigawatt-scale AI compute, built and operated end to end
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.
Agent-first GPU cloud: rent NVIDIA pods by the second from your terminal or API
Agent-first GPU cloud: rent NVIDIA pods by the second from your terminal or API
