# Getting "You have exceeded your Pro GPU quota" error even with credits loaded > Source: > Published: 2026-07-17 01:01:29+00:00 We need a little more information to determine whether that is some kind of misunderstanding or an error on the HF side… Most likely cause You were probably using a **ZeroGPU Space**, while the extra money you added was going into **Inference Providers** billing, which is a different product bucket. Hugging Face’s docs say purchased credits and pay-as-you-go apply to **Inference Providers** when requests are routed through Hugging Face, while **ZeroGPU** has its own daily quota system. Public HF docs do **not** describe bought credits as a way to extend ZeroGPU daily minutes. ([Hugging Face](https://huggingface.co/docs/inference-providers/pricing)) In plain terms, “I have PRO and extra credits” does **not** automatically mean “this ZeroGPU Space can keep running after I hit the daily ZeroGPU limit.” For ZeroGPU, the current documented quota is **25 minutes per day for PRO**, and it resets **exactly 24 hours after your first GPU usage**, not at midnight. ([Hugging Face](https://huggingface.co/docs/hub/spaces-api-endpoints)) Why this is confusing HF sells several things that look similar from the user side but are enforced differently underneath: **PRO** increases your ZeroGPU quota and queue priority. **Inference Providers credits** are monthly credits plus pay-as-you-go for routed inference. **Spaces compute** is a separate compute service category in billing. ([Hugging Face](https://huggingface.co/pricing)) So if you saw wording that made it sound like extra credits would “kick in” after daily GPU usage, that wording is at least **misleading for ZeroGPU use**, because the public docs describe credits for Inference Providers and quotas for ZeroGPU as separate mechanisms. I cannot prove from the public docs whether that was a UI bug, stale copy, or context-specific message, but the documentation does not support “credits extend ZeroGPU daily quota.” ([Hugging Face](https://huggingface.co/docs/inference-providers/pricing)) Second most likely cause Your request may not have been recognized as coming from your **logged-in PRO identity**. HF’s Spaces API docs say authenticated requests consume **your account’s** ZeroGPU quota, while unauthenticated requests use a stricter shared pool. The docs list the current ZeroGPU daily quotas as **2 minutes unauthenticated**, **3.5 minutes free**, and **25 minutes PRO**. ([Hugging Face](https://huggingface.co/docs/hub/spaces-api-endpoints)) This matters because ZeroGPU rate limiting is tied to request identity. Gradio’s ZeroGPU client docs explain that requests missing the `X-IP-Token` header are treated as unauthenticated. HF’s Spaces API docs also show that when one app calls another ZeroGPU Space, you may need to forward the user’s auth context, including `x-ip-token` . ([Gradio](https://www.gradio.app/docs/python-client/using-zero-gpu-spaces)) That is why these cases often fail even for PRO users: - opening the raw `.hf.space` link instead of the Space’s Hub page, - using incognito, - using strict cookie or privacy settings, - calling the Space through an API client or proxy without proper auth forwarding, - calling a ZeroGPU Space from another Space without forwarding the identity token. ( [Hugging Face Forums](https://discuss.huggingface.co/t/pro-account-getting-gpu-quota-exceeded-when-calling-for-hf-provided-url/154104)) Third likely cause The specific Space may simply be **expensive per run**. ZeroGPU Spaces can request longer runtimes with `@spaces.GPU(duration=...)` , and `xlarge` uses **2×** the daily quota of `large` . The default runtime window is **60 seconds**, but a Space can ask for more. That means a run can be rejected even when you still have some quota left, because the Space is asking for more seconds than you have remaining. ([Hugging Face](https://huggingface.co/docs/hub/spaces-zerogpu)) So one Space can fail fast while another still works, even on the same account. That is not necessarily a platform bug. It can just be the Space’s runtime settings and GPU size. ([Hugging Face](https://huggingface.co/docs/hub/spaces-zerogpu)) Real bugs and HF-side issues also exist There have been genuine platform-side problems. HF staff stated in March 2025 that they had **changed how ZeroGPU quotas work** and that some PRO users were **negatively impacted**. There are also reports from 2025 and 2026 where users had active PRO status and visible quota on the billing page but still got `0s left` or wrong quota behavior across multiple Spaces. ([Hugging Face Forums](https://discuss.huggingface.co/t/is-the-rule-of-25-min-changed/147690/5)) There was also a documented bug where **ZeroGPU + non-SSR apps** could fall back to **IP-based quotas**, which would ignore logged-in PRO quotas. HF staff said that was fixed by upgrading Gradio. So some cases are not user error and not billing confusion. They are app-side or platform-side auth bugs. ([Hugging Face](https://huggingface.co/spaces/Steveeeeeeen/Zonos/discussions/6)) My best diagnosis for a case like yours If the pattern is “I got PRO, added extra credits, and still immediately saw a Pro GPU quota error on a Space,” then my ranking is: **Most likely:** credits were added to the wrong billing bucket for this use case. ZeroGPU quota was still the actual limiter. ([Hugging Face](https://huggingface.co/docs/inference-providers/pricing)) **Next:** the Space request was treated as guest or IP-based instead of PRO-authenticated. ([Hugging Face](https://huggingface.co/docs/hub/spaces-api-endpoints)) **Then:** the Space itself requests more time or more expensive GPU usage than your remaining quota allows. ([Hugging Face](https://huggingface.co/docs/hub/spaces-zerogpu)) **Also possible:** your account quota state was out of sync on HF’s side. ([Hugging Face Forums](https://discuss.huggingface.co/t/zerogpu-quota-shows-0s-left-despite-active-pro-subscription/173970)) **Less likely unless it is one Space only:** the Space is outdated or misconfigured. ([Hugging Face](https://huggingface.co/spaces/Steveeeeeeen/Zonos/discussions/6)) What to do If you are just using someone else’s Space Open the Space from its **Hub page while logged in**, not from the raw `.hf.space` subdomain. Avoid incognito. Temporarily disable aggressive cookie or tracking blockers for that test. Community reports show `.hf.space` direct access and incognito can behave like unauthenticated use. ([Hugging Face Forums](https://discuss.huggingface.co/t/pro-account-getting-gpu-quota-exceeded-when-calling-for-hf-provided-url/154104)) Then test **two or three unrelated ZeroGPU Spaces**. If only one fails, suspect that specific Space’s runtime settings or app bug. If **all** ZeroGPU Spaces fail while your billing page shows PRO status and remaining minutes, suspect an **HF-side quota sync issue** or auth attribution problem. ([Hugging Face Forums](https://discuss.huggingface.co/t/zerogpu-quota-shows-0s-left-despite-active-pro-subscription/173970)) Also, do **not** rely on purchased credits to extend ZeroGPU minutes. If you need more runtime than the daily ZeroGPU pool allows, the clean alternatives are: - use **Inference Providers** directly for pay-as-you-go inference, - or use a **paid GPU Space** instead of ZeroGPU. HF documents those as separate compute/billing paths. ([Hugging Face](https://huggingface.co/docs/inference-providers/pricing)) If you own the Space or call it programmatically Make sure the actual inference call is authenticated, not just your account check elsewhere. HF’s Spaces API docs show using `Authorization: Bearer ...` for Space calls, and Gradio’s docs explain why missing request identity causes fallback to unauthenticated rate limits. ([Hugging Face](https://huggingface.co/docs/hub/spaces-api-endpoints)) If your app calls another ZeroGPU Space, forward `x-ip-token` . If you use an older Gradio setup, upgrade it. HF staff explicitly linked a real ZeroGPU auth bug to older app behavior and said upgrading Gradio restores logged-in quotas instead of IP-based fallback. ([Gradio](https://www.gradio.app/docs/python-client/using-zero-gpu-spaces)) If the Space is expensive, reduce `duration` where possible and avoid `size="xlarge"` unless it is truly needed. Shorter durations improve queue behavior, and `xlarge` burns quota twice as fast. ([Hugging Face](https://huggingface.co/docs/hub/spaces-zerogpu)) The short conclusion My strongest guess is **not** “the credits failed to activate.” It is: **you hit a ZeroGPU quota that extra credits do not extend**, or **the request was not being counted under your PRO identity**. ([Hugging Face](https://huggingface.co/docs/inference-providers/pricing)) A real HF-side bug is also possible, but I would move that higher **only** if you are logged in correctly, opening Spaces from the Hub page, and **multiple unrelated ZeroGPU Spaces** still instantly report `0s left` or similar nonsense. ([Hugging Face Forums](https://discuss.huggingface.co/t/zerogpu-quota-shows-0s-left-despite-active-pro-subscription/173970))