Lightning AI records 272,562 monthly visits with -12.3% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Qubinets records 802 monthly visits with 0% growth and Freemium pricing.
The AI cloud built by the creators of PyTorch Lightning
Simpler AI and big-data infrastructure on Kubernetes
| Dimension / Metric | | |
|---|---|---|
| Official Domain | lightning.ai | qubinets.com |
| Pricing Model | Freemium, Paid, Contact for Pricing | Freemium |
| Monthly Visits | 272.56K (272,562) | 802 (802) |
| MoM Traffic Delta | -38.07K (-12.3%) | +802 (0%) |
| Primary Market & Share | 🇺🇸 United States (31.8%) | 🇹🇭 Thailand (100%) |
| Direct Visits / mo | 142.09K | 334 |
| 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.
Simpler AI and big-data infrastructure on Kubernetes
Get AI and big-data workloads running on Kubernetes without wiring every component by hand.
Assemble and manage data pipelines that feed models and analytics workloads.
An open-source core that teams can inspect, extend and self-host.
Build and run AI agents alongside your infrastructure rather than as a separate silo.
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.
Rents inexpensive peer-to-peer GPU hardware globally, but offers less reliable uptime and managed ML tooling.
Rents inexpensive peer-to-peer GPU hardware globally, but offers less reliable uptime and managed ML tooling.
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
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.
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
The low-cost cloud sandbox where AI agents actually live
The low-cost cloud sandbox where AI agents actually live
Self-hosted cloud development environments and AI coding agents for enterprise teams
Cloud Linux VMs built for developers and their AI agents
Cloud Linux VMs built for developers and their AI agents
