# Trainy

Official pricing: https://trainy.ai/  
Category: paas · Isolation: container

## Pricing regimes (raw)

- **Native product; see regime notes** (resource) [alt]

## Features

Yes: pause/resume, ≥24 h sessions, custom image (Docker or snapshot), your own Docker/OCI image, SSH, public IPv4, HTTPS preview URLs, self-hosting, BYOC, open source, SSO, GPU, Python, credential injection, wake on request, audit logs, EU data residency, MCP server, inbound access rules

No: snapshots, memory snapshots, fork/clone, persistent disk, volumes, idle auto-stop, start from your own snapshot, full VM (own kernel), Docker inside, nested virtualization, browser, desktop GUI, computer-use API, browser + desktop control, anti-bot stealth, CAPTCHA solving, residential IPs, preinstalled agents, egress allowlist, static egress IP, arm64, Windows, macOS, Node.js, HTTP method/path egress rules, live resize, live fork (no pause), memory fork, automatic snapshots, snapshots on demand, agent harness API, hosted agent API (their own agent), gVisor or VM (no shared kernel), firewall inside (nftables), secret proxy, secret proxy for any API, extra volumes, shared volumes

Unknown: everything else. Evidence (source + quote) per feature: https://battleships.dev/data/providers/trainy.json → feature_evidence

## Caveats

- Pricing FAQ explicitly says Trainy is not a cloud provider. Platform plus per-node quote on own cloud; Pluto $250/seat/month is experiment tracking, NOT GPU rental. YC startup discount 50% Konduktor 6mo (or free under 5 nodes); hardware remains own-cloud cost.
- Inventory exclusion: BYOC GPU management, explicitly not cloud provider. Card contains no numeric compute modes and no selectable price plan.
- Null values mean unknown, not free/unlimited. No model-token cost, tax or unverified ancillary charge included.
- Native browser/device/task/credit prices with unknown CPU/RAM are deliberately non-priceable. Check regime before interpreting any partial resource estimate.
- Discount: current-batch YC companies get 50% off Konduktor for 6 months (or free under 5 nodes), one year of free Pluto hosted Pro, and one free performance-tuning consultation; hardware/cloud spend is not included.

## How this provider charges


YC: Summer 2023; directory status **Active**. Research scope: marginal-or-unavailable. Source: https://www.ycombinator.com/companies/trainy

Konduktor BYOC orchestration

## Regime table

| Regime | When it applies | How billed | Numbers | Source |
|---|---|---|---|---|
| Native product; see regime notes | Incomplete or non-resource economics: rates remain null, never interpreted as free. | resource; CPU alloc, memory alloc | Unknown or native-unit billing; see facts below | https://trainy.ai/ |
| Current applicable tariff unverified | Plan limits apply | Monthly fee; credits only as stated | fee=None; included usage=$None; concurrent=None; max session h=None | https://trainy.ai/ |
| Retained disk / GiB-month | Lifecycle/scope must be checked | Native add-on | unverified, not $0 | https://trainy.ai/ |
| Snapshots / GiB-month | Lifecycle/scope must be checked | Native add-on | unverified, not $0 | https://trainy.ai/ |
| Egress / GiB | Lifecycle/scope must be checked | Native add-on | unverified, not $0 | https://trainy.ai/ |
| IPv4 / month | Lifecycle/scope must be checked | Native add-on | unverified, not $0 | https://trainy.ai/ |

## Verified billing facts and gotchas

1. Pricing FAQ explicitly says Trainy is not a cloud provider. Platform plus per-node quote on own cloud; Pluto $250/seat/month is experiment tracking, NOT GPU rental. YC startup discount 50% Konduktor 6mo (or free under 5 nodes); hardware remains own-cloud cost.
2. Inventory exclusion: BYOC GPU management, explicitly not cloud provider. Card contains no numeric compute modes and no selectable price plan.

## Worked example

Requested: 4 vCPU/8 GiB, 50 simultaneous × 8 h/day × 22 days = **8,800 instance-hours**, 30% CPU; 50 GiB snapshots and 100 GiB egress. A month is 730 hours only when explicitly used in rate conversion.

**Total: unknown.** This product does not publish a verified complete 4-vCPU/8-GiB tariff and/or the service bills a different unit. Fifty concurrent instances and eight-hour sessions are not automatically supported. Neither 30% utilization nor retained snapshots can be converted into free resources. Use the native plan terms above and request the missing CPU/RAM, retention, egress and concurrency quote.

## Sources and coverage

- https://www.ycombinator.com/companies/trainy
- https://www.trainy.ai
- https://www.trainy.ai/pricing
- https://www.trainy.ai/llms.txt

Page captures and documentation indexes/bundles are in `raw/`; provider JSON lists the evidence paths. HN query results were captured separately as `<id>--hn.txt`; they are discovery leads, not current tariff authority. Downloaded docs do not imply every feature was verified; unsupported assertions remain null.