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DeepSeek V4 runs efficiently on single RTX 4090 with custom inference engine

By PulseAugur Editorial · [1 sources] ·

A user has successfully implemented DeepSeek V4 with a flash Q2 quantization on a single RTX 4090 graphics card, utilizing 64 GB of RAM. This setup, which avoids common inference engines like llama.cpp or vllm, achieved approximately 8 tokens per second, with momentary dips to 5 tokens per second due to expert utilization requiring disk reads. The user plans to publish details about their custom ML compiler and inference engine, Blaze, which enabled this efficient deployment. AI

IMPACT Demonstrates potential for running advanced models on consumer-grade hardware, lowering accessibility barriers.

RANK_REASON User-driven research milestone demonstrating efficient deployment of a model on consumer hardware. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

DeepSeek V4 runs efficiently on single RTX 4090 with custom inference engine

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-driven research milestone demonstrating efficient deployment of a model on consumer hardware. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
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.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
54 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

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

    Deepseek v4 flash Q2 on a single 4090 😅

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vozg7c/deepseek_v4_flash_q2_on_a_single_4090/"> <img alt="Deepseek v4 flash Q2 on a single 4090 😅" src="https://preview.redd.it/ub9ynov6oijh1.jpg?width=140&amp;height=75&amp;auto=webp&amp;s=455c2b4f1d51b3f1a4…

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