# Datalayer Runtimes

Official pricing: https://datalayer.io/pricing  
Category: dev-env · Isolation: container

## Pricing regimes (raw)

- **On-demand** (sizes): 1-CPU 1 vCPU/1 GiB $0.3/h

## Features

Yes: snapshots, memory snapshots, fork/clone, pause/resume, persistent disk, volumes, ≥24 h sessions, custom image (Docker or snapshot), start from your own snapshot, code interpreter, egress allowlist, self-hosting, BYOC, SOC 2, SSO, Python, live fork (no pause), audit logs, spend limits, MCP server, snapshots on demand, hosted agent API (their own agent), extra volumes, shared volumes

No: idle auto-stop, your own Docker/OCI image, 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, SSH, public IPv4, HTTPS preview URLs, open source, HIPAA, GPU, arm64, Windows, macOS, Node.js, HTTP method/path egress rules, wake on request, live resize, memory fork, EU data residency, automatic snapshots, agent harness API, gVisor or VM (no shared kernel), inbound access rules, firewall inside (nftables), secret proxy, secret proxy for any API

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

## Caveats

- Rendered official pricing exposes one available CPU sandbox:1vCPU/1GiB at$0.30/h. Listed7CPU, T4 andA100 environments markedUnavailable. Wallet-credit plans, agentrun caps andorganization seats are separate.
- Features set to null were not verified. No sandbox was purchased or tested; feature/performance statements are documentation claims. Null maximums are unknown unless a cited note explicitly states unlimited.
- A complete monthly bill requires known snapshot/egress/plan limits; do not silently treat missing ancillary charges as free.
- Pricing page lists 7 CPUs / 30 GiB, T4 GPU + 2 CPUs / 10 GiB and A100 80GB GPU + 4 CPUs / 20 GiB as Unavailable.

## How this provider charges


As of 2026-09-28. Prices are USD unless explicitly labelled otherwise. Source type: official published list/promo or unknown, never a fabricated quote.

Rendered official pricing exposes one available CPU sandbox:1vCPU/1GiB at$0.30/h. Listed7CPU, T4 andA100 environments markedUnavailable. Wallet-credit plans, agentrun caps andorganization seats are separate.

| Regime | When it applies | How billed / numbers | Source |
|---|---|---|---|
| CPU runtime | 1vCPU/1GiB | $0.30/hour while running. | https://datalayer.io/pricing |
| Free | Personal | 50walletcredits and500agent runs/month. | https://datalayer.io/pricing |
| Team | $49/month base | 500credits/5,000runs; organization adds$15/active seat. | https://datalayer.io/pricing |
| Larger CPU/GPU | Unavailable on pricingpage | Do not infer rates. | https://datalayer.io/pricing |

## Gotchas

- Rendered official pricing exposes one available CPU sandbox:1vCPU/1GiB at$0.30/h. Listed7CPU, T4 andA100 environments markedUnavailable. Wallet-credit plans, agentrun caps andorganization seats are separate.
- Features set to null were not verified. No sandbox was purchased or tested; feature/performance statements are documentation claims. Null maximums are unknown unless a cited note explicitly states unlimited.
- A complete monthly bill requires known snapshot/egress/plan limits; do not silently treat missing ancillary charges as free.

## Worked workload

4 vCPU / 8 GiB; 50 simultaneous instances × 8 h/day × 22 days = **8,800 instance-hours**, **35,200 vCPU-hours**, **70,400 GiB-hours**. At 30% observed CPU:10,560 active-vCPU-hours only where the meter actually uses utilization. Assume one start/instance/day:1,100starts. Retain50GiB snapshots for a month;100GiB outbound. Active disk capacity was not specified.

The available1CPU/1GiB environment fails4vCPU/8GiB.7CPU/30GB is listed unavailable with no rate. Fiftyconcurrentmachines andretainedsnapshot fees require a quote; multiplying the1CPUrate byfour would invent unsupportedcapacity.

## Sources

- https://datalayer.io/pricing
- https://github.com/datalayer/code-sandboxes/blob/d9c39925d87447dab5f3f7f1bdf9451ec4ebca2a/code_sandboxes/providers.py