Run Decision Models on vLLM and Red Hat AI Using DiffusionGemma
TypeSafe AI's Jev model has gained attention for providing fast, structured probabilistic decisions, but its closed-source nature limits enterprise adoption. The vLLM community has developed a method to run similar decision-making capabilities using the open-source DiffusionGemma model. This approach leverages parallel denoising to generate typed answers with confidence scores, enabling self-hosted, low-latency decision engines.
- ▪Jev is a 'System One' model that returns typed, probabilistic decisions rather than generating free-text responses.
- ▪DiffusionGemma is a block-diffusion language model with 26B total parameters and 4B active parameters that processes tokens in parallel.
- ▪vLLM PR #57250 introduces a structured-read mode that allows DiffusionGemma to function as a decision engine by reading probability distributions from a single forward pass.
- ▪This open-source solution addresses enterprise needs for self-hosted, low-latency decision-making without relying on third-party hosted APIs.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,789 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Red Hat Developer |
| Canonical URL | https://developers.redhat.com/articles/2026/09/28/run-decision-model-vllm-and-red-hat-ai |
| Publication time | Tue, 29 Sep 2026 03:13:02 +0000 |
| Retrieval time | 2026-09-29T03:24:29.094Z |
| Last seen | 2026-09-29T03:24:29.094Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Dsy-ODX2IJNE · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Run decision models on vLLM and Red Hat AI using DiffusionGemma Decision models like Jev are having a moment. Here's how to run one on vLLM and Red Hat AI today. September 28, 2026 Lucas Wilkinson Rob Greenberg Related topics: Artificial intelligence Related products: Red Hat AI Table of contents: Why Jev went viral, what "System One" models are good for, and how the vLLM community turned DiffusionGemma, already a Red Hat AI validated model, into an open, self-hostable decision engine.A new shape of modelOver the last couple of weeks, a new kind of model took over developer feeds. Jev is the first model from TypeSafe AI, a San Francisco startup founded by former OpenAI researcher Diogo Almeida. Jev doesn't chat or write.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Red Hat Developer.