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

Rivet.dev tiene 21.359 visitas mensuales, mientras que RunPod tiene 2.881.043. Las estimaciones de tráfico describen el tamaño de la audiencia, no la calidad del producto.

¿Cómo se comparan sus tasas de crecimiento?

Rivet.dev tiene una tasa de crecimiento intermensual de -44,3 %; RunPod tiene +5,9 %.

¿Cómo se comparan los precios?

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. RunPod: De pago. Paid, pay-as-you-go. GPU Pods are billed per second or per hour by card type, Serverless endpoints bill for active compute only with zero idle cost, and Clusters charge per GPU per hour. Storage starts at around $0.05/GB per month. A free tier and enterprise reserved-capacity contracts are also available.

¿Cuáles son las alternativas a Rivet.dev y RunPod?

Otras herramientas de categorías relacionadas incluyen OpenRouter, fal.ai, Together AI, Vast.ai, Modal.

Open AI Tools

Comparativa directa

Rivet.dev vs RunPod

Rivet.dev registra 21.359 visitas mensuales con un crecimiento intermensual de -44,3 % y un modelo de precios Freemium, Precio a consultar. RunPod registra 2.881.043 visitas mensuales con un crecimiento de +5,9 % y un modelo de precios De pago.

Rivet.devFreemium, Precio a consultar

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.

Visitas mensuales

21,36 mil

Velocidad intermensual

-44,3 %

Mercado principal

🇺🇸 Estados Unidos

Ver análisis de Rivet.dev rivet.dev

RunPodDe pagoLíder en tráfico

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.

Visitas mensuales

2,88 M

Velocidad intermensual

+5,9 %

Mercado principal

🇺🇸 Estados Unidos

Ver análisis de RunPod runpod.io

Matriz comparativa de tráfico y especificaciones

Dimensión / Métrica	Rivet.dev	RunPod
Dominio oficial	rivet.dev	runpod.io
Modelo de precios	Freemium, Precio a consultar	De pago
Visitas mensuales	21,36 mil (21.359)	2,88 M (2.881.043)
Variación de tráfico intermensual

Mercado principal y cuota	🇺🇸 Estados Unidos (39,4 %)	🇺🇸 Estados Unidos (26,1 %)

Visitas directas / mes	10,71 mil	1,63 M

Valoración de usuarios	4,5	4,7

Plataformas compatibles	Sitio web	Sitio web

Rivet.dev vs RunPod — Tráfico (21,36 mil vs 2,88 M), Precios y Veredicto | Open AI Tools

Rivet.dev

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.

Fortalezas y ventajas

+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

RunPod

On-demand GPU Pods

Rent GPU instances with on-demand, interruptible or reserved capacity across more than 30 GPU SKUs, from RTX 4090s up to B200 and B300 class accelerators, deployed in 31 global regions.

Autoscaling Serverless endpoints

Deploy any container as an API endpoint that scales from zero to thousands of workers on demand and bills only for the compute you actually use.

Multi-node Clusters

Launch multi-node GPU clusters for distributed training and large inference jobs, with shared storage attachable and no long-term commitment required.

Model Hub and public endpoints

Deploy popular open-source models from a curated hub, or use public endpoints for image, audio and text models without managing infrastructure.

Fortalezas y ventajas

+Extremely broad GPU catalogue spanning consumer and datacentre cards
+Per-second billing and scale-to-zero serverless endpoints keep idle costs near zero
+Fast environment provisioning from templates or your own containers

Mejores alternativas a Rivet.dev y RunPod (12)

OpenRouter

19,9 M/mes

EspecializadoProvides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.

AI APIDe pago60% directo

Panel de OpenRouter con rankings de modelos, uso de tokens y análisis de gasto

fal.ai

3,1 M/mes

EspecializadoSpecializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options.

Herramientas de desarrollo con IAPaid, pay-as-you-go usage-based pricing60% directo

Catálogo de modelos de fal.ai con modelos generativos de imagen, vídeo, audio y 3D

Together AI

1,6 M/mes

Ofrece inferencia de modelos sin servidor administrada y clústeres de GPU, cambiando la personalización de pods en hardware dedicado por un acceso API optimizado.

Herramientas de desarrollo con IAFreemium, De pago+64,9 %

Vast.ai

1,3 M/mes

Ofrece un mercado P2P de GPU con precios a menudo más bajos, pero con una fiabilidad de hardware más variable que RunPod.

Herramientas de desarrollo con IADe pago+2,8 %

Modal

1,2 M/mes

EspecializadoOfrece ejecución de Python sin servidor y escalado instantáneo de contenedores, pero carece de control directo de pods SSH persistentes como RunPod.

Herramientas de desarrollo con IAFreemium, Precio a consultar+30,2 %

Panel de Modal con despliegues de funciones, métricas de uso de GPU y registros de uso

Nebius

1,1 M/mes

Ofrece clústeres de GPU NVIDIA empresariales de alto rendimiento, pero se centra más en la infraestructura dedicada de hardware dedicado que en pods flexibles por lotes.

Herramientas de desarrollo con IADe pago, Precio a consultar+10,7 %

Replicate AI

904 mil/mes

Offers a polished API and cloud platform for running open models, but provides less direct infrastructure-level control than RunPod.

AI APIDe pago64% directo

Salad

713,5 mil/mes

Gratis / Código abiertoUtilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees.

Herramientas de desarrollo con IAPrueba gratuita, De pago, Precio a consultar+10,4 %

Panel de Salad desplegando un grupo de contenedores en nodos GPU distribuidos

DeepInfra

457,8 mil/mes

EspecializadoOfrece inferencia de modelos sin servidor excepcionalmente económica, pero no proporciona alquiler de contenedores GPU sin procesar para cargas de trabajo de entrenamiento personalizadas.

Modelos de IADe pago52% directo

Captura del panel de DeepInfra con los modelos disponibles y sus precios de tokens de entrada y salida

Mastra

319 mil/mes

Gratis / Código abiertoMastra 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 observability so prototypes can scale into production.

AI AgentFreemium, Precio a consultar44% directo