Nebius registra 1.145.711 visitas mensuales con un crecimiento intermensual de +10,7 % y un modelo de precios De pago, Precio a consultar. Qubinets registra 802 visitas mensuales con un crecimiento de 0 % y un modelo de precios Freemium.
Nebius is an AI-focused cloud platform that gives teams non-virtualized NVIDIA GPU clusters, managed MLOps tooling, and a serverless inference layer so they can move from experiment to production on one stack.
Qubinets is an open-source platform that aims to simplify deploying and managing AI and big-data infrastructure on Kubernetes. Its pitch is to let teams stand up data pipelines, AI agents and cloud-native services without hand-assembling every component, moving from source to running deployment faster. Note: its site could not be reached during our audit, so confirm current status directly.
| Dimensión / Métrica | | |
|---|---|---|
| Dominio oficial | nebius.com | qubinets.com |
| Modelo de precios | De pago, Precio a consultar | Freemium |
| Visitas mensuales | 1,15 M (1.145.711) | 802 (802) |
| Variación de tráfico intermensual |
| +110,83 mil (+10,7 %) |
| +802 (0 %) |
| Mercado principal y cuota | 🇺🇸 Estados Unidos (46,8 %) | 🇹🇭 Tailandia (100 %) |
|---|
| Visitas directas / mes | 447,89 mil | 334 |
|---|
| Valoración de usuarios | 4,5 | 4 |
|---|
| Plataformas compatibles | Sitio web | Sitio web |
|---|
Nebius is an AI-focused cloud platform that gives teams non-virtualized NVIDIA GPU clusters, managed MLOps tooling, and a serverless inference layer so they can move from experiment to production on one stack.
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.
Qubinets is an open-source platform that aims to simplify deploying and managing AI and big-data infrastructure on Kubernetes. Its pitch is to let teams stand up data pipelines, AI agents and cloud-native services without hand-assembling every component, moving from source to running deployment faster. Note: its site could not be reached during our audit, so confirm current status directly.
Get AI and big-data workloads running on Kubernetes without wiring every component by hand.
Assemble and manage data pipelines that feed models and analytics workloads.
An open-source core that teams can inspect, extend and self-host.
Build and run AI agents alongside your infrastructure rather than as a separate silo.
EspecializadoTailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
RunPod is a cloud platform for AI and machine learning workloads that rents GPU compute by the second. It offers Pods for persistent GPU instances, Serverless endpoints that autoscale inference from zero, and multi-node Clusters, plus a Hub of ready-to-deploy open-source models and templates.
Proporciona API de inferencia sin servidor robustas y clústeres de GPU para modelos de código abierto, pero con menor énfasis en el control de hardware dedicado (bare-metal).
#3Ofrece un mercado de alquiler de GPU entre pares con precios más bajos, aunque con una fiabilidad de hardware variable en comparación con la infraestructura gestionada.
Infraestructura cloud serverless para cargas de trabajo de IA y datos
EspecializadoProvides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
La nube de IA creada por los autores de PyTorch Lightning
EspecializadoCombines model APIs and serverless GPU jobs, but lacks the enterprise-grade bare-metal infrastructure orchestration of Nebius.
El sandbox en la nube barato donde los agentes de IA realmente viven
Se especializa en clústeres de GPU de centros de datos empresariales a gran escala para entrenamiento pesado, aunque está menos adaptado para funciones serverless instantáneas.
Entornos de desarrollo en la nube autoalojados y agentes de código con IA para empresas
Máquinas virtuales Linux en la nube para desarrolladores y sus agentes de IA
EspecializadoTailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
RunPod is a cloud platform for AI and machine learning workloads that rents GPU compute by the second. It offers Pods for persistent GPU instances, Serverless endpoints that autoscale inference from zero, and multi-node Clusters, plus a Hub of ready-to-deploy open-source models and templates.
Proporciona API de inferencia sin servidor robustas y clústeres de GPU para modelos de código abierto, pero con menor énfasis en el control de hardware dedicado (bare-metal).
Ofrece un mercado de alquiler de GPU entre pares con precios más bajos, aunque con una fiabilidad de hardware variable en comparación con la infraestructura gestionada.
Infraestructura cloud serverless para cargas de trabajo de IA y datos
EspecializadoProvides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
El sandbox en la nube barato donde los agentes de IA realmente viven
Se especializa en clústeres de GPU de centros de datos empresariales a gran escala para entrenamiento pesado, aunque está menos adaptado para funciones serverless instantáneas.
Máquinas virtuales Linux en la nube para desarrolladores y sus agentes de IA
