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c0deJedi
nbd-vram
Shell2026–2026
c0deJedi / nbd-vram

nbd-vram

Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work

2Distinct people
2Mentions
0Explicit recommenders
582GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2026-06-02 22:55:33 UTC to 2026-07-13 18:14:26 UTC. Weeks start Monday, UTC.

012026-06-01 00:00:00 UTC to 2026-06-08 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 12026-06-08 00:00:00 UTC to 2026-06-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-15 00:00:00 UTC to 2026-06-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-22 00:00:00 UTC to 2026-06-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 222026-06-29 00:00:00 UTC to 2026-07-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-06 00:00:00 UTC to 2026-07-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-13 00:00:00 UTC to 2026-07-20 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 13

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 12026-06-01 00:00:00 UTC2026-06-08 00:00:00 UTC110
Jun 82026-06-08 00:00:00 UTC2026-06-15 00:00:00 UTC000
Jun 152026-06-15 00:00:00 UTC2026-06-22 00:00:00 UTC000
Jun 222026-06-22 00:00:00 UTC2026-06-29 00:00:00 UTC000
Jun 292026-06-29 00:00:00 UTC2026-07-06 00:00:00 UTC000
Jul 62026-07-06 00:00:00 UTC2026-07-13 00:00:00 UTC000
Jul 132026-07-13 00:00:00 UTC2026-07-20 00:00:00 UTC101

What Hacker News says

2 sources
Similar interest here, possibly including if qwen 3.6, Gemma4 or DiffusionGemma (with the largest quants that will fit in a single card) will offer, say, 50 tokens-per-second (fast enough for interactive human-in-the-loop code research, print-f iterations on code to debug things, etc; or let the LLM churn on a problem for a minute while I step out to handle something else), context of up to 200k preferred. Also if nothing else the below project lets you use an NVidia graphics card as low-latency swap, which has been nice as a buffer as RAM prices remain high and leaves me eyeing that 24GB card you mentioned as an alternative... https://github.com/c0deJedi/nbd-vram
In Benchmarking 15 "E-Waste" GPUs with Modern Workloads

MAKE YOURSELF AT HOME

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