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User seeks $15k GPU setup for local LLM deployment

By PulseAugur Editorial · [1 sources] ·

A user is seeking recommendations for GPUs capable of running large language models like DSV4 Flash and Qwen3.8-Flash-Next locally with good performance, aiming for speeds of 40-50+ tokens/sec for generation and 1000+ tokens/sec for prefill. The user requires at least 128 GB of VRAM and prefers NVIDIA cards due to CUDA, but is open to AMD if performance is comparable. The budget is around $15,000, and the hardware must fit within a Dell R740 server, ideally using three or fewer GPUs. AI

IMPACT Informs hardware choices for individuals and organizations running LLMs locally.

RANK_REASON User query about hardware for running LLMs.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User seeks $15k GPU setup for local LLM deployment

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7 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
User query about hardware for running LLMs.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/_TheWolfOfWalmart_ ·

    What GPUs will give me GOOD speeds and on DSV4 Flash and similar models, and not have to run a mega quantized version? Budget around $15k-ish.

    <!-- SC_OFF --><div class="md"><p>I wish I could spend $15k on my own homelab hardware, but no this is for work lol.</p> <p>Like the title says, we're looking to run DSV4 Flash (and similar tier models) locally at good speeds, both for token gen <em>and</em> prompt processing.</p…

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