Como Rivet.dev e RunPod se comparam em tráfego mensal?

Rivet.dev tem 21.359 visitas mensais, enquanto RunPod tem 2.881.043. As estimativas de tráfego descrevem o tamanho da audiência, não a qualidade do produto.

Como as taxas de crescimento se comparam?

Rivet.dev tem taxa de crescimento mês a mês de -44,3%; RunPod tem +5,9%.

Como os preços se comparam?

Rivet.dev: Freemium, Preço sob consulta. 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: 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.

Quais são as alternativas de Rivet.dev e RunPod?

Outras ferramentas em categorias relacionadas incluem OpenRouter, fal.ai, Together AI, Vast.ai, Modal.

Open AI Tools

Rivet.dev vs RunPod — Tráfego (21,36 mil vs 2,88 mi), Preços e Veredito | Open AI Tools

Comparativo direto

Rivet.dev vs RunPod

Rivet.dev registra 21.359 visitas mensais com crescimento de -44,3% mês a mês e preços Freemium, Preço sob consulta. RunPod registra 2.881.043 visitas mensais com crescimento de +5,9% e preços Pago.

Rivet.devFreemium, Preço sob consulta

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 mensais

21,36 mil

Variação mensal

-44,3%

Principal mercado

🇺🇸 Estados Unidos

Ver análise de Rivet.dev rivet.dev

RunPodPagoLíder de tráfego

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 mensais

2,88 mi

Variação mensal

+5,9%

Principal mercado

🇺🇸 Estados Unidos

Ver análise de RunPod runpod.io

Matriz comparativa de tráfego e especificações

Dimensão / Métrica	Rivet.dev	RunPod
Domínio oficial	rivet.dev	runpod.io
Modelo de preços	Freemium, Preço sob consulta	Pago
Visitas mensais	21,36 mil (21.359)	2,88 mi (2.881.043)
Variação de tráfego mensal

Mercado principal e participação	🇺🇸 Estados Unidos (39,4%)	🇺🇸 Estados Unidos (26,1%)

Visitas diretas / mês	10,71 mil	1,63 mi

Avaliação dos usuários	4,5	4,7

Plataformas suportadas	Site	Site

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.

Pontos fortes e vantagens

+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

Limitações

–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.

Pontos fortes e vantagens

+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

Melhores alternativas de Rivet.dev e RunPod (12)

OpenRouter

19,9 mi/mês

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

AI APIPago60% direto

Painel do OpenRouter com rankings de modelos, uso de tokens e análise de gastos

fal.ai

3,1 mi/mês

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

Ferramentas de desenvolvimento com IAPaid, pay-as-you-go usage-based pricing60% direto

Catálogo de modelos do fal.ai com modelos generativos de imagem, vídeo, áudio e 3D

Together AI

1,6 mi/mês

Fornece inferência de modelo sem servidor gerenciada e clusters de GPU, trocando a personalização de pods bare-metal brutos por acesso de API simplificado.

Ferramentas de desenvolvimento com IAFreemium, Pago+64,9%

Vast.ai

1,3 mi/mês

Oferece um marketplace P2P de GPUs com preços frequentemente mais baixos, mas com confiabilidade de hardware mais variável que o RunPod.

Ferramentas de desenvolvimento com IAPago+2,8%

Modal

1,2 mi/mês

EspecializadoOferece execução Python sem servidor e escalonamento instantâneo de containers, mas carece de controle de pod SSH persistente direto como o RunPod.

Ferramentas de desenvolvimento com IAFreemium, Preço sob consulta+30,2%

Painel do Modal com implementações de funções, métricas de utilização de GPU e registos de uso

Nebius

1,1 mi/mês

Oferece clusters de GPU NVIDIA corporativos de alto desempenho, mas foca mais em infraestrutura bare-metal dedicada do que em pods spot flexíveis.

Ferramentas de desenvolvimento com IAPago, Preço sob consulta+10,7%

Replicate AI

904 mil/mês

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

AI APIPago64% direto

Salad

713,5 mil/mês

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

Ferramentas de desenvolvimento com IATeste gratuito, Pago, Preço sob consulta+10,4%

Painel da Salad implantando um grupo de contêineres em nós GPU distribuídos

DeepInfra

457,8 mil/mês

EspecializadoOferece inferência de modelo sem servidor excepcionalmente barata, mas não fornece aluguel de containers de GPU brutos para cargas de trabalho de treinamento personalizadas.

Modelos de IAPago52% direto

Captura do painel DeepInfra listando modelos disponíveis com preços de tokens de entrada e saída

Mastra

319 mil/mês

Grátis / Código abertoMastra 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, Preço sob consulta44% direto