The AI developer cloud for GPU pods, serverless inference and clustering
#1Thunder Compute records 102,147 monthly visits with -29% month-over-month growth and Paid (per-minute instances, per-second sandboxes) pricing. Union.ai records 17,787 monthly visits with -28.4% growth and Freemium, Contact for Pricing pricing.

The durable AI runtime that runs in your cloud, not ours
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | thundercompute.com | union.ai |
| Pricing Model | Paid (per-minute instances, per-second sandboxes) | Freemium, Contact for Pricing |
| Monthly Visits | 102.15K (102,147) | 17.79K (17,787) |
| MoM Traffic Delta | -41.66K (-29%) | -7.04K (-28.4%) |
|---|
| Primary Market & Share | 🇺🇸 United States (53.5%) | 🇺🇸 United States (52.8%) |
|---|
| Direct Visits / mo | 40.74K | 7.04K |
|---|
| User Rating | 4.4 | 4.4 |
|---|
| Supported Platforms | Website | Website |
|---|

Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
Launch RTX A6000, L40, A100 80GB, or H100 SXM machines, often ready to SSH into within minutes, and pay only while they run.
Spin up isolated Ubuntu VMs with or without a GPU for RL rollouts, evals, and CI, billed per second and scaled to zero between runs.
A CLI, VS Code extension, MCP server, and REST API let you drive infrastructure from a terminal, an editor, an AI agent, or your own services.
Save an instance disk as a snapshot and restore it later, so you can pause experiments without leaving machines running.

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.
The AI developer cloud for GPU pods, serverless inference and clustering
#1
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.
#2Rent cloud GPUs by the second from a global marketplace
Serverless cloud infrastructure for AI and data workloads
An AI-native cloud built from silicon to API for training, tuning, and serving models

Free / Open-sourceDistributed GPU cloud that orchestrates the world's idle consumer GPUs
The AI cloud built by the creators of PyTorch Lightning
Free / Open-sourceOne cloud for 200+ model APIs, agent sandboxes and GPU compute

Gigawatt-scale AI compute, built and operated end to end

Persistent Ubuntu cloud VMs built for AI agent factories

Managed Ray platform for scaling AI workloads

Private AI cloud for training and inference workloads
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
Serverless cloud infrastructure for AI and data workloads
An AI-native cloud built from silicon to API for training, tuning, and serving models
Free / Open-sourceDistributed GPU cloud that orchestrates the world's idle consumer GPUs
Private AI cloud for training and inference workloads