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Run Decision Models on vLLM and Red Hat AI Using DiffusionGemma

Lucas Wilkinson· ·7 min read · 0 reactions · 0 comments · 215 views
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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.

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Red Hat Developer · Lucas Wilkinson
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Original publisherRed Hat Developer
Canonical URLhttps://developers.redhat.com/articles/2026/09/28/run-decision-model-vllm-and-red-hat-ai
Publication timeTue, 29 Sep 2026 03:13:02 +0000
Retrieval time2026-09-29T03:24:29.094Z
Last seen2026-09-29T03:24:29.094Z
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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.

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Excerpt limited to ~120 words for fair-use compliance. The full article is at Red Hat Developer.

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