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

Boxes.dev records 552 monthly visits with 0% month-over-month growth and Freemium, Contact for Pricing pricing. RunPod records 2,881,043 monthly visits with +5.9% growth and Paid pricing.

A fresh cloud computer for every AI coding agent you run
| +161.49K (+5.9%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (26.1%) |
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| Direct Visits / mo | 159 | 1.63M |
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| User Rating | 4.6 | 4.7 |
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| Supported Platforms | Website | Website |
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A fresh cloud computer for every AI coding agent you run
Every meaningful task gets a fresh Linux devbox with its own filesystem, processes and ports, so parallel agents never fight over resources or collide on ports.
Boxes.dev runs the native harness and your existing subscription or API key — no new agent framework, and no token resale.
Kick off work by mentioning @boxes.dev in Slack, assigning a Linear issue, scheduling a cron job, or calling the REST API, with results returned in the same channel.
Read threads, approve requests, review diffs or open a terminal on any surface, including full-featured native iOS and Android apps.
The AI developer cloud for GPU pods, serverless inference and clustering
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.
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.
Launch multi-node GPU clusters for distributed training and large inference jobs, with shared storage attachable and no long-term commitment required.
Deploy popular open-source models from a curated hub, or use public endpoints for image, audio and text models without managing infrastructure.
SpecialistProvides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.


SpecialistSpecializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options.
#2
Delivers managed serverless model inference and GPU clusters, trading raw bare-metal pod customization for streamlined API access.
#3Offers a peer-to-peer GPU rental marketplace with often lower prices, but with more variable hardware reliability than RunPod.
SpecialistProvides serverless Python execution and instant container scaling, but lacks direct persistent SSH pod control like RunPod.
Offers high-performance enterprise NVIDIA GPU clusters, but focuses more on dedicated bare-metal infrastructure than flexible spot pods.
Your always-on AI teammate, hosted and managed for you

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

Free / Open-sourceUtilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees.

High-trust frontier inference, encrypted end to end

SpecialistDelivers exceptionally low-cost serverless model inference, but does not provide raw GPU container rentals for custom training workloads.
Provides managed development studios and guaranteed on-demand GPUs, but with a more structured framework-centric workflow than RunPod.
SpecialistProvides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.
SpecialistSpecializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options.
Delivers managed serverless model inference and GPU clusters, trading raw bare-metal pod customization for streamlined API access.
Offers a peer-to-peer GPU rental marketplace with often lower prices, but with more variable hardware reliability than RunPod.
SpecialistProvides serverless Python execution and instant container scaling, but lacks direct persistent SSH pod control like RunPod.
Offers high-performance enterprise NVIDIA GPU clusters, but focuses more on dedicated bare-metal infrastructure than flexible spot pods.
Your always-on AI teammate, hosted and managed for you
Offers a polished API and cloud platform for running open models, but provides less direct infrastructure-level control than RunPod.
Free / Open-sourceUtilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees.
High-trust frontier inference, encrypted end to end
Provides managed development studios and guaranteed on-demand GPUs, but with a more structured framework-centric workflow than RunPod.