Gemini Pro Subscription Unlocks Free A100 GPU Access on Google Colab

Google announced on its developer blog last month (22nd) that paid Google AI subscriptions now include Colab premium benefits. The author verified that Gemini Pro (Google AI Plans) grants Colab Pro-level access: a monthly allotment of compute units with priority access to T4, L4, and A100 GPUs plus TPUs. The Ultra tier adds background execution and Premium GPU access.

Subscription Tiers and Compute Units

The Colab pricing page shows the active plan as "Google AI Plans" while the standalone Colab Pro ($9.99/mo) is not marked separately; the Colab panel displays a Pro subscription, suggesting the Gemini plan provisions Pro-level permissions rather than creating a separate subscription.

Standalone Colab Pro: 100 compute units/month

Colab Pro+: 600 compute units/month (per pricing page)

Gemini AI Pro: rumored 200 units/month (author's account shows 176.52 units remaining, consistent with ~200 minus recent usage)

Real-World A100 Cost and Capacity

The author launched a runtime and ran nvidia-smi, confirming an NVIDIA A100-SXM4-40GB with 89.6 GB memory, 207.5 GB disk, PyTorch 2.11.0 and CUDA 13.0 pre-installed. The Colab UI reports A100 40GB consumption at ~5.38 units/hour, matching Chris McCormick's March 2024 measurement of 5.40 units/hour.

At 200 units/month this yields approximately 37 hours of A100 time per month, or ~8.5 hours per week. This budget dictates suitable workloads.

Recommended Use Cases

Temporary experiments that finish in a few hours: LoRA fine-tuning of 7B/8B models, evaluation runs, comparing open-source model inference, testing acceleration techniques.

Remote GPU for local agents: Google's colab-mcp connects local Claude Code or Gemini CLI to the browser-based Colab session, letting code run locally while GPU executes in Google's data centers.

Explicit Limitations (from Colab FAQ and Author's Testing)

No model deployment / external services: Resources are not guaranteed or unlimited; paid runtimes max out at 12 hours; idle VMs are deleted. FAQ explicitly prohibits file hosting, media services, and other web services unrelated to interactive computing.

No long-running background tasks: Background execution is only available on the Ultra tier. Pro-tier runtimes depend on the browser session; closing the page terminates the process.

Unsuitable for heavy multi-day training: Dynamic resource reclamation wipes /content (code, dependencies, data, checkpoints). Recovering requires re-cloning, re-installing, and re-downloading — prohibitive for large datasets.

Mitigation Strategy for Longer Tasks

Mount Google Drive and run rsync every 5 minutes to sync checkpoints. When a new runtime starts, re-clone code, reinstall dependencies, rebuild data, verify Drive checkpoints, and resume from the latest. Drive persistence is essential because the runtime is ephemeral but Drive storage survives.

Additional Constraints

Compute units expire after 90 days; no rollover.

Unused sessions must be manually disconnected to stop unit consumption.

Gemini student-discount Pro accounts do not receive the Colab Pro benefit.