Lightning AI records 272,562 monthly visits with -12.3% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. QuickPod records 7,171 monthly visits with -70.4% growth and Paid pricing.
The AI cloud built by the creators of PyTorch Lightning
Cheap on-demand GPU and CPU pods, ready in one click
| Dimension / Metric | | |
|---|---|---|
| Official Domain | lightning.ai | quickpod.io |
| Pricing Model | Freemium, Paid, Contact for Pricing | Paid |
| Monthly Visits | 272.56K (272,562) | 7.17K (7,171) |
| MoM Traffic Delta | -38.07K (-12.3%) | -17.07K (-70.4%) |
| Primary Market & Share | 🇺🇸 United States (31.8%) | 🇮🇩 Indonesia (100%) |
| Direct Visits / mo | 142.09K | 2.99K |
| User Rating | 4.7 | 4 |
| Supported Platforms | Website | Website |
The AI cloud built by the creators of PyTorch Lightning
Spin up single GPUs, full nodes or reserved clusters by the second, selectable from T4 and L4 up to A100, H100, H200, B200 and TPUs, with no long-term contract required.
Ready-to-code environments with CUDA, PyTorch and common libraries preinstalled, usable from the browser, a local IDE or a terminal, with automatic sleep to stop idle spend.
Launch distributed training jobs and large-scale data preparation across multi-node GPU and high-CPU machines, with interruptible instances at up to about 80% off.
Turn a checkpoint into an endpoint or app without rewriting infrastructure code, and host public app links or private model APIs with configurable rate limits.
Cheap on-demand GPU and CPU pods, ready in one click
Launch on-demand docker pods with GPU or CPU compute from one interface and scale up or down as workloads change.
Every pod ships with a Jupyter environment ready for TensorFlow, PyTorch or any framework you prefer.
Choose from a broad set of locations worldwide so compute sits close to your datasets and end users.
On-demand CPU and GPU pricing is published in the console, so you can compare instance types before you launch.
SpecialistOptimizes serverless pipelines specifically for generative media models, but lacks general-purpose PyTorch training studios.
SpecialistOptimizes serverless pipelines specifically for generative media models, but lacks general-purpose PyTorch training studios.
The AI developer cloud for GPU pods, serverless inference and clustering
SpecialistDelivers high-performance serverless APIs for open-source models, but focuses less on raw GPU infrastructure rentals.
SpecialistDelivers high-performance serverless APIs for open-source models, but focuses less on raw GPU infrastructure rentals.
Rent cloud GPUs by the second from a global marketplace
Rent cloud GPUs by the second from a global marketplace
Free / Open-sourceServerless cloud infrastructure for AI and data workloads
Free / Open-sourceServerless 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
SpecialistSimplifies model deployment and fine-tuning via standardized APIs, but offers less granular control over raw GPU clusters.
SpecialistSimplifies model deployment and fine-tuning via standardized APIs, but offers less granular control over raw GPU clusters.
Free / Open-sourceDistributed GPU cloud that orchestrates the world's idle consumer GPUs
Free / Open-sourceDistributed GPU cloud that orchestrates the world's idle consumer GPUs
SpecialistProvides ultra-fast inference for open-weight foundation models, but is less suited for custom distributed model training workflows.
SpecialistLow-cost serverless inference APIs for 200+ open models
Gigawatt-scale AI compute, built and operated end to end
Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
