# boat vs Union.ai

boat records 66,870 monthly visits with +520.8% month-over-month growth and Free Trial, Paid pricing. Union.ai records 17,787 monthly visits with -28.4% growth and Freemium, Contact for Pricing pricing.

| Metric | [boat](https://openaitools.app/tool/boat) | [Union.ai](https://openaitools.app/tool/union-cloud) |
| :--- | :--- | :--- |
| Website URL | https://boat.dev | https://union.ai |
| Categories | AI Agent, AI Developer Tools, AI Workflow, AI API | AI Developer Tools, AI Workflow, Large Language Models (LLMs), AI Models |
| Pricing Model | Free Trial, Paid | Freemium, Contact for Pricing |
| Monthly Visits | 66,870 | 17,787 |
| MoM Growth Rate | +520.8% | -28.4% |
| Primary Market | United States | United States |
| Direct Visits | 37,777 | 7,040 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## boat

boat targets teams running many agents at once, which it calls "agent factories". Instead of containers that reset on every session, boat hands out full Linux virtual machines with a persistent disk, so installed packages, cloned repos, and saved files survive between runs. Pre-configured images ship with Docker, VS Code, Chrome, the GitHub CLI, Rust, Node.js, and Bun, and you can bring any harness such as Claude Code, Codex, or OpenCode.

The standout capability is disk-level forking. You can snapshot a configured sandbox and clone it in seconds to run dozens or hundreds of parallel agents from an identical starting state. Sandboxes can be paused and resumed, with disk snapshots taken every minute and again at each stop, so billing only accrues while the VM runs. This makes it practical to fan out test, build, and research workloads without paying for idle time.

Billing is metered by the second against a monthly minimum, and the service advertises one of the lowest list prices for comparable VM hours, with sizes ranging from 2 vCPU to 16 vCPU. Sandboxes run in Germany, Finland, and France; there is no US or Asia region and no GPU option, so graphical work runs on the CPU. It is a strong fit for developers who want a real machine rather than a constrained execution sandbox.

**Pricing & Plans:** Per-second billing with a $20/month minimum. The default 4 vCPU / 8 GB sandbox lists at $0.036/h, with smaller (2 vCPU / 4 GB) and larger (8 vCPU / 16 GB, 16 vCPU / 32 GB) sizes available. A 7-day free trial with a card provides 25 compute hours, and stopped sandboxes incur no compute charge while the disk is retained for at least 14 days.

- **Persistent full Linux VMs:** Each sandbox is a complete Ubuntu machine with systemd, Docker, databases, and cron, so anything that runs on Linux runs here.
- **Fast snapshot forking:** Clone a configured sandbox from a disk snapshot in seconds to launch large fleets of identical parallel agents.
- **SSH, SCP, and virtual desktop:** Connect over SSH and SCP or open a 60fps virtual desktop and browser to inspect web apps, IDEs, and 3D scenes.
- **API, CLI, and SDKs:** Drive everything programmatically through the boat CLI (with --json output), an HTTP API, or Python and TypeScript SDKs.
- **Per-second metered billing:** Pay only while sandboxes run, with no compute charge when stopped and disks kept for at least 14 days.

**Strengths:** Full Ubuntu VMs rather than restricted containers, with Docker and systemd included; Very fast disk-level forking makes large parallel agent runs affordable; Transparent per-second pricing with no compute charge while stopped

**Limitations:** No GPU option and no US or Asia data regions; A $20 monthly minimum applies, which is wasteful for light or occasional use

[Profile (Markdown)](https://openaitools.app/tool/boat.md)

## Union.ai

Union.ai grew out of the Flyte project, the open-source workflow engine used widely for data and ML pipelines, and it keeps that lineage in its design: you write ordinary Python tasks and task environments, and the runtime takes care of scheduling, caching, retries and typed data passing between steps. What Union adds on top is durability. If a run dies because a node disappears, a GPU is reclaimed, an API returns a 429 or an out-of-memory kill fires, the run is recovered and continues from the failed step rather than the beginning of the pipeline.

The current platform is organised around a handful of capabilities. The AI factory manages named, versioned artifacts so a checkpoint or dataset has a traceable producer and consumers, which matters for reproducibility. Production agents let teams keep the agent framework they already use, including OpenAI, Claude, PydanticAI and CrewAI, while making every turn of the loop durable, traced and sandboxed. The inference gateway puts external model APIs and self-hosted vLLM, SGLang or Ollama endpoints behind a single governed interface with virtual keys, budgets and guardrails. Around these sit scheduling primitives such as priority queues, concurrency limits, quotas and cluster selectors.

Deployment is deliberately bring-your-own-cloud. Union hosts the control plane, which stores references and metadata rather than payloads, while your data, models and compute stay inside your own perimeter, so your negotiated cloud rates and credits still apply. Union is available on AWS Marketplace and through self-service signup, with an optional managed-cluster service billed per cluster.

**Pricing & Plans:** Freemium-style entry with a free open-source Flyte option. The managed Team plan starts at a $950/month minimum, fully credited to usage, with the first month free and no card required at signup. Consumption is metered on actions, vCPU-hours, memory GB-hours and GPU-hours across published volume bands. Enterprise is custom-priced on an annual commit with volume discounts, and optional Union-managed clusters cost $500 per cluster per month, capped at $2,500.

- **Durable execution engine:** 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.
- **AI factory and artifact lineage:** Named, typed and versioned artifacts wire teams together, with lineage showing which run produced each version and which downstream tasks consume it.
- **Sovereign, bring-your-own-cloud deployment:** 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.
- **Production agents and agent traceability:** Bring OpenAI, Claude, PydanticAI or CrewAI agents; each turn is traced and sandboxed in ephemeral containers, MCP servers and human approvals supported.
- **Inference gateway:** One gateway for hosted LLM providers and self-hosted vLLM, SGLang or Ollama endpoints, with virtual keys, budgets, guardrails and per-GPU observability.
- **Advanced scheduling and quotas:** Priority, concurrency, quotas and cluster selectors on queues, so backfills never steal capacity from production training or serving jobs.

**Strengths:** Durable execution means long training, inference and agent runs survive node loss, spot reclamation and API rate limits; Bring-your-own-cloud architecture keeps data, models and secrets inside your own security perimeter; Backed by the creators of Flyte, so the open-source engine and the managed platform evolve together; Transparent published rate card with marginal volume bands for actions, CPU, memory and GPU

**Limitations:** The Team plan carries a $950/month minimum that is only credited back as usage, so it is a poor fit for hobbyists or very small experiments; Because workloads run inside your own cloud, you still pay your cloud provider for compute on top of Union's metering; Setup expects a Kubernetes cluster and familiarity with Python task environments, which raises the bar for non-engineering users; Rate-card pricing across four meters (actions, vCPU, memory, GPU) can be hard to forecast without monitoring

[Profile (Markdown)](https://openaitools.app/tool/union-cloud.md)

## Frequently Asked Questions

### How do boat and Union.ai compare in monthly traffic?

boat has 66,870 monthly visits, while Union.ai has 17,787. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

boat has a month-over-month growth rate of +520.8%; Union.ai has -28.4%.

### How does pricing compare?

boat: Free Trial, Paid. Per-second billing with a $20/month minimum. The default 4 vCPU / 8 GB sandbox lists at $0.036/h, with smaller (2 vCPU / 4 GB) and larger (8 vCPU / 16 GB, 16 vCPU / 32 GB) sizes available. A 7-day free trial with a card provides 25 compute hours, and stopped sandboxes incur no compute charge while the disk is retained for at least 14 days. Union.ai: Freemium, Contact for Pricing. Freemium-style entry with a free open-source Flyte option. The managed Team plan starts at a $950/month minimum, fully credited to usage, with the first month free and no card required at signup. Consumption is metered on actions, vCPU-hours, memory GB-hours and GPU-hours across published volume bands. Enterprise is custom-priced on an annual commit with volume discounts, and optional Union-managed clusters cost $500 per cluster per month, capped at $2,500.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 2 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | 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 b | [.md](https://openaitools.app/tool/together-ai.md) |
| 3 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rent cloud GPUs by the second from a global marketplace | [.md](https://openaitools.app/tool/vast-ai.md) |
| 4 | [Browser Use](https://openaitools.app/tool/browser-use) | 1,206,376 | +41.1% | Freemium, Paid, Contact for Pricing | Browser agents and stealth cloud browsers for real web tasks | [.md](https://openaitools.app/tool/browser-use.md) |
| 5 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) |
| 6 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | An AI-native cloud built from silicon to API for training, tuning, and serving models | [.md](https://openaitools.app/tool/nebius.md) |
| 7 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Cloud browsers and web APIs for AI agents | [.md](https://openaitools.app/tool/browserbase.md) |
| 8 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | The AI cloud built by the creators of PyTorch Lightning | [.md](https://openaitools.app/tool/lightning-ai.md) |
| 9 | [Agent 37](https://openaitools.app/tool/agent-37) | 180,030 | +24.2% | Free Trial, Contact for Pricing | The low-cost cloud sandbox where AI agents actually live | [.md](https://openaitools.app/tool/agent-37.md) |
| 10 | [FluidStack](https://openaitools.app/tool/fluidstack) | 154,620 | +7.3% | Paid, Contact for Pricing | Gigawatt-scale AI compute, built and operated end to end | [.md](https://openaitools.app/tool/fluidstack.md) |

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Source: https://openaitools.app/compare/boat-vs-union-cloud

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)