Vercel AI Gateway Now Lets You Pin Inference to the US or EU

Vercel has added regional inference to its AI Gateway product. Teams can now set a single inferenceRegion field on any request to pin it to either the US or the EU. Every compatible model provider handles the field the same way, inference runs in that region, and any data the provider retains is stored there too. Each response includes a confirmed region, giving compliance teams a verifiable record of where each request actually ran.

What happened

Detail	Fact
Feature	Regional inference on Vercel AI Gateway
Supported regions	US, EU, plus global routing (no pin)
Config field	inferenceRegion on the request object
Failure behaviour	Request fails if no provider can serve the region
Regional price premium	Approximately 10% above standard, set by the provider
Vercel markup	None. Provider rate passed through as-is

Vercel AI Gateway is a proxy layer that routes AI model requests across multiple providers (OpenAI, Anthropic, and others) through a single API. Before this update, teams with data residency requirements had to configure regional routing separately for each provider, with no reliable way to confirm where a request actually ran.

The new inferenceRegion field changes that. Set it to us or eu on a request using the AI SDK, and every provider that supports the selected region will handle it there. The response returns the region that served it, so you have a record for each call.

What fails and what defaults

Vercel is explicit about failure mode: if no model provider can serve the pinned region, the request fails outright. It does not silently fall back to another region. That is the right call for compliance use cases, where running in the wrong region is worse than not running at all.

Without the inferenceRegion field, requests route globally with no residency guarantee. Residency is opt-in, so existing integrations are not affected unless you add the field.

You can filter the model list for US- or EU-capable models in the dashboard, or read the regions array from the /v1/models endpoint to check programmatically before sending a request.

Why does this matter for businesses?

GDPR and similar regulations often require that personal data stays within a specific jurisdiction. AI requests that include user data (names, emails, query history) can fall under those rules. Until now, verifying regional compliance across multiple AI providers meant separate configurations, separate logs, and guesswork.

A single field with a confirmed region in every response is a meaningful simplification. It also means switching providers within a region does not require reconfiguring residency logic.

For teams already using AI integration in their stack, this closes a real audit gap. You can now show a compliance officer exactly where every inference request ran, without stitching together provider-specific logs.

Our take

This is a quiet but genuinely useful update. The hard part of multi-provider AI routing has always been the operational edge cases: what happens when a provider is down, and where does your data end up? Vercel answers both questions clearly here: the request fails (good), and you get a confirmed region in the response (also good).

The roughly 10% regional premium is worth knowing upfront. At low request volumes it is negligible. At scale, it adds up, so factor it into cost modelling before enabling residency on every route.

The fail-rather-than-reroute behaviour is the most important detail. Any gateway that silently reroutes to a non-compliant region is a liability. The fact that Vercel defaults to a hard failure protects teams who forget to check provider coverage before pinning a region.

If you are building AI features on Vercel and have EU users, there is no good reason to leave inferenceRegion unset. The cost is small and the compliance risk of the alternative is not.

Businesses working with user data in regulated industries should treat this as a required configuration, not an optional one. Our AI news coverage continues to track how platforms are building compliance tools into their core infrastructure rather than leaving it to developers.

What to do about it

1. Check which model providers you use and confirm they appear in the US or EU model list in the AI Gateway dashboard.
2. Read the regions array from /v1/models for any provider you plan to pin before deploying.
3. Add inferenceRegion: "eu" (or "us") to every request that involves personal user data.
4. Log the region field from each response and include it in your compliance records.
5. Update cost projections to account for the provider’s regional rate, approximately 10% above standard.

Set inferenceRegion now if you have EU users. The compliance risk of leaving it unset outweighs the small price premium.

Source: Vercel Blog