Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Wafer AIwafer.ai

The fastest inference for open models.

Developer & AI Platformwafer.aiTracked since 2026-08-191 discovery source
946Backlinks
314Referring domains
23Domain authority
+166%Referring domains · 90 days

Authority & distribution

How strong is Wafer AI’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

946Current snapshot

Referring domains

314Current snapshot

Authority

23Domain authority · category median 22

90-day move

+166%Referring domains, last 90 days
At 23, Wafer AI sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Wafer AI ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Wafer AI traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Wafer AI is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Wafer AI”

The fastest inference for open models.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.wafer.ai

Observed across 1 discovery source.

Research questions

What the evidence answers about Wafer AI.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does Wafer AI do, and what problem does it solve?

Wafer AI provides the fastest inference for open large language models, solving the problem of high-speed, enterprise-grade LLM deployment. Its homepage explicitly states it offers 'The fastest inference for open models.' This is for businesses needing to run open-source LLMs efficiently.

What features does Wafer AI offer?

Wafer AI offers a platform API for fast LLM inference. The product's tags include 'platform_api' and 'pricing_subscription', indicating it provides a subscription-based API service. Its core feature is delivering high-speed inference for open models.

How is Wafer AI priced or packaged?

Wafer AI uses a subscription-based pricing model, as indicated by the 'pricing_subscription' tag in its product profile. The evidence does not provide specific price points or package tiers.

Who is Wafer AI for, and in what situations is it used?

Wafer AI is for enterprise users who need to deploy and run open-source LLMs via an API or platform. The product is categorized as a 'Developer & AI Platform' and is described as an 'Enterprise LLM inference service.' This indicates its use in scenarios requiring scalable, managed AI model execution.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Wafer AI intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which one of them does it, and the 2 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured