| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Server virtualization platforms | Cloud and infrastructure | 17% | 2 of 78 | 2% | 49 | accepted challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 0 | 0 | 0 | 2 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.1 Fast | 2 | 4 | 0 | 0 | 6 |
| Mistral Small | 2 | 1 | 1 | 0 | 4 |
| DeepSeek V4 Flash | 2 | 2 | 0 | 0 | 4 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 5 | 1 | 0 | 6 |
| Kimi K2 | 2 | 2 | 1 | 1 | 6 |
| GLM 4.7 FlashX | 1 | 5 | 0 | 0 | 6 |
| MiniMax M2.5 | 0 | 4 | 0 | 0 | 4 |
| GPT-6 Luna | 0 | 0 | 1 | 0 | 1 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“the best all‑around server virtualization platform today is Microsoft Hyper‑V (with Windows Server + System Center/SCVMM or Azure Arc‑enabled VMs)” GLM 4.7 FlashX · Server virtualization · direct prompt · first choice
“Primary choice: Microsoft Hyper-V — if you're already using Windows Server, this provides the best value with enterprise-grade features” Kimi K2 · Server virtualization · direct prompt · first choice
“Proxmox VE or Microsoft Hyper-V (if Windows-focused) are popular choices because they balance cost, features, and ease of management.” Claude Haiku 4.5 · Server virtualization · budget prompt · first choice
“If you want the smoothest transition and are already in the Microsoft ecosystem, Hyper-V is the most cost-effective and low-risk choice.” Mistral Small · Server virtualization · paraphrase prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Moderate caution: Hyper-V (Windows dependency)” Kimi K2 · Server virtualization · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 130 of the 146 answers that named Microsoft Hyper-V and are not a share of its labels.
383 of the 383 domain citations in answers naming Microsoft Hyper-V came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Microsoft Hyper-V's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Microsoft Hyper-V, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Microsoft Hyper-V by email, built from the raw record of the edition. It shows:
Microsoft Hyper-V is among the products AI models recommend first in Server virtualization platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.