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DeepSeek's new model sets a template for powerful LLMs that run lean

DeepSeek's new model sets a template for powerful LLMs that run lean

Tobias Mann· ·6 min read · 0 reactions · 0 comments · 9 views
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DeepSeek has released V4.1 Flash, a large language model with 763 billion parameters that significantly reduces memory requirements through architectural innovations. The update introduces a conditional memory module using N-gram parameters to decouple memory from computation, allowing for more efficient resource usage. These changes enable the model to support four to eight times as many users within the same KV cache footprint as its predecessor.

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Original publisherwww.theregister.com - Articles
Canonical URLhttps://www.theregister.com/ai-and-ml/2026/09/11/deepseeks-new-model-sets-a-template-for-powerful-llms-that-run-lean/5295715
Publication timeFri, 11 Sep 2026 09:15:00 +0200
Retrieval time2026-09-11T07:19:29.107Z
Last seen2026-09-11T07:19:29.107Z
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Opening excerpt (first ~120 words) tap to expand

(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); AI and ML DeepSeek's new model sets a template for powerful LLMs that run lean DeepSeek V4.1 Flash proves that just because you build a bigger model doesn't mean you need more GPUs to serve it Tobias Mann Tobias Mann SYSTEMS EDITOR Published fri 11 Sep 2026 // 08:15 UTC READ MORE Hundreds of AI agents helped PaperCut attacker hit 395+ orgs, and some went off script 12 hours ago Nscale swallows lion's share of UK datacenter investment 17 hours ago d-Matrix drinks the Nvidia Kool-Aid with…

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