# Nebius vs Rivet.dev

Nebius registra 1.145.711 visitas mensuales con un crecimiento intermensual de +10,7 % y un modelo de precios De pago, Precio a consultar. Rivet.dev registra 21.359 visitas mensuales con un crecimiento de -44,3 % y un modelo de precios Freemium, Precio a consultar.

| Métrica | [Nebius](https://openaitools.app/es/tool/nebius) | [Rivet.dev](https://openaitools.app/es/tool/rivet-dev) |
| :--- | :--- | :--- |
| URL del sitio web | https://nebius.com | https://rivet.dev |
| Categorías | Herramientas de desarrollo con IA, Modelos de IA, AI API, Modelos de IA de código abierto | AI Agent, AI Workflow, Herramientas de desarrollo con IA, Constructor de apps con IA |
| Modelo de precios | De pago, Precio a consultar | Freemium, Precio a consultar |
| Visitas mensuales | 1.145.711 | 21.359 |
| Tasa de crecimiento intermensual | +10,7 % | -44,3 % |
| Mercado principal | Estados Unidos | Estados Unidos |
| Visitas directas | 447.886 | 10.710 |
| Puntuación de reseñas | 4,5 | 4,5 |
| Número de guardados | 0 | 0 |
| Plataformas compatibles | Sitio web | Sitio web |

## Nebius

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.

**Precios y planes:** Usage-based pricing published on the site. On-demand GPU instances range from roughly $1.55/GPU-hour for L40S up to about $9.50/GPU-hour for HGX B300, with preemptible and live spot options starting around $0.79/GPU-hour. CPU-only instances start near $0.06/cpu-hour, managed Kubernetes and networking are free, and large-scale clusters or commitments are quoted through sales.

- **Non-virtualized GPU clusters:** 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.
- **Nebius Token Factory:** A managed inference service for running popular open and frontier models through an API, so applications can add LLM capabilities without owning GPUs.
- **Managed MLOps services:** Built-in Kubernetes, Soperator for Slurm jobs, PostgreSQL, and MLflow give teams a ready-made environment for orchestration, tracking, and experiments.
- **Flexible consumption and spot pricing:** Choose on-demand, preemptible, or live market-driven spot capacity, or commit to reserved clusters for discounts on long-running workloads.
- **Scalable AI storage:** Shared filesystems, WEKA, block volumes, and tiered object storage sized for multi-hundred-terabyte training datasets.

**Fortalezas:** Transparent, publicly listed per-hour GPU and storage pricing; Broad NVIDIA lineup from L40S up to GB300 NVL72; Free Kubernetes management, networking egress, and public IPs; Integrated MLOps tooling including MLflow, Slurm via Soperator, and PostgreSQL

**Limitaciones:** Top-end clusters like GB300 and GB200 are quote-only, not self-serve; Spot and preemptible capacity is interruptible and prices move with demand; Requires meaningful ML infrastructure knowledge to get the most out of it

[Profile (Markdown)](https://openaitools.app/es/tool/nebius.md)

## Rivet.dev

Rivet is open-source infrastructure for running and scaling AI agents as "Actors" — durable, stateful compute units that live inside your own Node.js or Bun backend. Each Actor keeps persistent state, a filesystem, and a SQLite database, so agents survive restarts, share state, and run code written at runtime without a redeploy. Rivet ships as a single stateless Rust binary and can be self-hosted, run in your VPC, or used through a managed cloud.

**Precios y planes:** Rivet Cloud uses a plan-plus-nodes model. The control plane is Free ($0) for prototyping, Hobby at $10/month, Team at $120/month, and Enterprise at $900/month, each raising control-plane redundancy, Actor Node caps, and support. Actor Nodes are billed per month on top, from $4.20 (R-5) to $94.50 (R-160). Self-hosting is free and open source under Apache 2.0, and startups from Y Combinator or a16z Speedrun get 50% off the Team plan for 12 months.

- **Durable actors with persistent state:** Every Actor gets a SQLite database and a filesystem, so an agent's memory and progress survive restarts and idle periods without a separate database.
- **Lightweight secure sandboxing:** Run untrusted or AI-generated code on your own infrastructure with fine-grained control over network access, filesystem permissions, and resource limits.
- **Fault tolerance and workflows:** A node failure reschedules its Actors elsewhere with state intact, and multi-step work replays after a crash — with no checkpointing harness to build yourself.
- **Realtime and multiplayer:** Address an Actor directly over HTTP or hold a live WebSocket, and use the React SDK to subscribe components to an Actor's state in real time.
- **One-binary deployment and observability:** Ship with a single stateless Rust binary, embeds storage in S3-compatible buckets, and emits OpenTelemetry traces, metrics, and logs to your existing collector.

**Fortalezas:** Four-digit millisecond cold starts and a very small per-Actor memory footprint let a single server host far more agents; Open source (Apache 2.0) with a single Rust binary, so it can be self-hosted, run in a VPC, or air-gapped; Durable state via per-Actor SQLite plus object-storage-backed tiers keeps agents restart-safe and cheap; Strong developer ergonomics: typed SDKs, a React SDK, WebSocket networking, and OpenTelemetry baked in

**Limitaciones:** Requires Node.js or Bun and a working Rust-based control plane deployment for self-hosting, so it favors backend engineers over no-code users; Advanced durability and sandboxing concepts (Actors, WarpDrive storage) carry a learning curve; Managed cloud cost scales with Actor Nodes, which can climb for many mid-sized/sized nodes; Enterprise features like multi-tenancy and hardened compliance guidance sit behind sales conversations

[Profile (Markdown)](https://openaitools.app/es/tool/rivet-dev.md)

## Preguntas frecuentes

### ¿Cómo se comparan Nebius y Rivet.dev en tráfico mensual?

Nebius tiene 1.145.711 visitas mensuales, mientras que Rivet.dev tiene 21.359. Las estimaciones de tráfico describen el tamaño de la audiencia, no la calidad del producto.

### ¿Cómo se comparan sus tasas de crecimiento?

Nebius tiene una tasa de crecimiento intermensual de +10,7 %; Rivet.dev tiene -44,3 %.

### ¿Cómo se comparan los precios?

Nebius: De pago, Precio a consultar. Usage-based pricing published on the site. On-demand GPU instances range from roughly $1.55/GPU-hour for L40S up to about $9.50/GPU-hour for HGX B300, with preemptible and live spot options starting around $0.79/GPU-hour. CPU-only instances start near $0.06/cpu-hour, managed Kubernetes and networking are free, and large-scale clusters or commitments are quoted through sales. Rivet.dev: Freemium, Precio a consultar. Rivet Cloud uses a plan-plus-nodes model. The control plane is Free ($0) for prototyping, Hobby at $10/month, Team at $120/month, and Enterprise at $900/month, each raising control-plane redundancy, Actor Node caps, and support. Actor Nodes are billed per month on top, from $4.20 (R-5) to $94.50 (R-160). Self-hosting is free and open source under Apache 2.0, and startups from Y Combinator or a16z Speedrun get 50% off the Team plan for 12 months.

## Alternativas

| # | Nombre de la herramienta | Visitas mensuales | Tasa de crecimiento intermensual | Modelo de precios | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [fal.ai](https://openaitools.app/es/tool/fal-ai) | 3.093.684 | -3,7 % | Paid, pay-as-you-go usage-based pricing | Tailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure. | [.md](https://openaitools.app/es/tool/fal-ai.md) |
| 2 | [RunPod](https://openaitools.app/es/tool/runpod) | 2.881.043 | +5,9 % | De pago | Ofrece alquileres flexibles de GPU bajo demanda y pods sin servidor, pero se centra más en instancias flexibles para desarrolladores que en clústeres empresariales listos para usar. | [.md](https://openaitools.app/es/tool/runpod.md) |
| 3 | [Together AI](https://openaitools.app/es/tool/together-ai) | 1.645.930 | +64,9 % | Freemium, De pago | 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). | [.md](https://openaitools.app/es/tool/together-ai.md) |
| 4 | [Vast.ai](https://openaitools.app/es/tool/vast-ai) | 1.257.554 | +2,8 % | De pago | 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. | [.md](https://openaitools.app/es/tool/vast-ai.md) |
| 5 | [Modal](https://openaitools.app/es/tool/modal-com) | 1.196.021 | +30,2 % | Freemium, Precio a consultar | Ejecuta cargas de trabajo de Python e inferencia de modelos en contenedores sin servidor sin esfuerzo, pero carece de gestión de clústeres de hardware dedicado (bare-metal). | [.md](https://openaitools.app/es/tool/modal-com.md) |
| 6 | [DeepInfra](https://openaitools.app/es/tool/deep-infra) | 457.810 | -8,9 % | De pago | Provides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals. | [.md](https://openaitools.app/es/tool/deep-infra.md) |
| 7 | [Mastra](https://openaitools.app/es/tool/mastra) | 318.954 | -5 % | Freemium, Precio a consultar | Mastra is an open-source TypeScript framework for building, deploying, and observing AI agents and workflows. It gives JavaScript developers typed agents, durable workflows, memory, MCP tool support, and built-in observa | [.md](https://openaitools.app/es/tool/mastra.md) |
| 8 | [Lightning AI](https://openaitools.app/es/tool/lightning-ai) | 272.562 | -12,3 % | Freemium, De pago, Precio a consultar | Provides interactive development studios and on-demand GPUs for training, but focuses more on PyTorch workflows than raw infrastructure. | [.md](https://openaitools.app/es/tool/lightning-ai.md) |
| 9 | [Novita AI](https://openaitools.app/es/tool/novita-ai) | 271.371 | -10,4 % | De pago | Combines model APIs and serverless GPU jobs, but lacks the enterprise-grade bare-metal infrastructure orchestration of Nebius. | [.md](https://openaitools.app/es/tool/novita-ai.md) |
| 10 | [Agent 37](https://openaitools.app/es/tool/agent-37) | 180.030 | +24,2 % | Prueba gratuita, Precio a consultar | El sandbox en la nube barato donde los agentes de IA realmente viven | [.md](https://openaitools.app/es/tool/agent-37.md) |

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Fuente: https://openaitools.app/es/compare/nebius-vs-rivet-dev

More Markdown: [Categorías](https://openaitools.app/es/categories.md) · [Clasificaciones de tráfico](https://openaitools.app/es/rankings.md) · [llms.txt](https://openaitools.app/es/llms.txt)