RunPod records 2,881,043 monthly visits with +5.9% month-over-month growth and Paid pricing. Union.ai records 17,787 monthly visits with -28.4% growth and Freemium, Contact for Pricing pricing.
The AI developer cloud for GPU pods, serverless inference and clustering
The durable AI runtime that runs in your cloud, not ours
| Dimension / Metric | | |
|---|---|---|
| Official Domain | runpod.io | union.ai |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 2.88M (2,881,043) | 17.79K (17,787) |
| MoM Traffic Delta | +161.49K (+5.9%) | -7.04K (-28.4%) |
| Primary Market & Share | 🇺🇸 United States (26.1%) | 🇺🇸 United States (52.8%) |
| Direct Visits / mo | 1.63M | 7.04K |
| User Rating | 4.7 | 4.4 |
| Supported Platforms | Website | Website |
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.
The durable AI runtime that runs in your cloud, not ours
Tasks, traces and artifacts survive infrastructure failure. Runs fork, recover and replay from the last good step instead of starting over, with retries and caching handled by the runtime.
Named, typed and versioned artifacts wire teams together, with lineage showing which run produced each version and which downstream tasks consume it.
Run the control plane in Union's cloud while workloads execute on clusters in your AWS, GCP, Azure or neocloud account, under your own security perimeter.
Bring OpenAI, Claude, PydanticAI or CrewAI agents; each turn is traced and sandboxed in ephemeral containers, MCP servers and human approvals supported.
SpecialistProvides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.
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.
SpecialistSpecializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Rent cloud GPUs by the second from a global marketplace
Rent cloud GPUs by the second from a global marketplace
Serverless cloud infrastructure for AI and data workloads
Serverless cloud infrastructure for AI and data workloads
An AI-native cloud built from silicon to API for training, tuning, and serving models
An AI-native cloud built from silicon to API for training, tuning, and serving models
Offers a polished API and cloud platform for running open models, but provides less direct infrastructure-level control than RunPod.
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.
Free / Open-sourceUtilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees.
SpecialistDelivers exceptionally low-cost serverless model inference, but does not provide raw GPU container rentals for custom training workloads.
The AI cloud built by the creators of PyTorch Lightning
Combines serverless model APIs with on-demand GPU instances, offering a similar developer experience at competitive global price points.
Gigawatt-scale AI compute, built and operated end to end
