Mastodawn

Ein Modder hat die Leistung seiner #Nvidia #GeForce #GTX1650 verdoppelt, indem er mehr #VRAM auf die Platine lötete. https://winfuture.de/news,159492.html?utm_source=Mastodon&utm_medium=ManualStatus&utm_campaign=SocialMedia

Doppelte FPS: Modder lötet einfach mehr Speicher auf alte GTX 1650

Einem Bastler ist es gelungen, die Leistung einer Nvidia GeForce GTX 1650 durch einen Speicherchip-Tausch zu verdoppeln. Das Hardware-Upgrade sorgte sowohl in Benchmarks als auch in Spielen für einen deutlichen Leistungssprung.

WinFuture.de

Ronny Barkley 3d ago

Mengenal arsitektur penyimpanan data visual sementara pada GPU modern (GDDR6 & HBM). Mengapa performa PC spesifikasi ekstrem sekalipun bisa jatuh bebas kalau salah urus alokasi buffer frame?

Mari kita bedah arsitekturnya secara mendalam:
🐘 http://ericlofgren.net/manajemen-memori-kartu-grafis-pc/

#HardwareMastodon #GPU #VRAM #Optimization

Pentingnya Manajemen Memori Kartu Grafis pada PC Spesifikasi Tinggi - ericlofgren

Panduan pentingnya melakukan manajemen memori kartu grafis pada PC spesifikasi tinggi untuk mencegah bottleneck dan crash saat rendering grafis berat

ericlofgren

Vitex Jun 12

The #OpenCode is working. Check when the Nvidia is used for it
⎿ [Image #1]

● I'll check how #Ollama uses the #Nvidia GPU.

● Bash(nvidia-smi --query-gpu=name,memory.used,memory.total,utilization.gpu --format=csv,noheader 2>/dev/null)
⎿ NVIDIA GeForce RTX 2060, 952 MiB, 6144 MiB, 9 %

● Bash(ollama ps 2>/dev/null)
⎿ NAME ID SIZE PROCESSOR UNTIL
qwen2.5-coder:7b-16k 0533dd01f237 7.2 GB 30%/70% CPU/GPU 4 minutes from now

● The model is currently loaded and actively using the GPU. Here's the breakdown:

- Model: #qwen2.5-coder:7b-16k — 7.2 GB total
- Split: 30% CPU / 70% GPU — the model is split across RAM and VRAM because it doesn't fit entirely in the RTX 2060's 6 GB VRAM
- Current #GPU #VRAM usage: 952 MiB used of 6144 MiB (the rest of the model layers sit in system RAM)
- GPU compute utilization: 9% right now (idle between requests)

The GPU is used whenever OpenCode sends a prompt to Ollama — during inference, 70% of the model layers run on the #RTX2060 and 30% on the #CPU. The model stays loaded in VRAM for 4 more minutes of idle time before Ollama unloads it.

#LocalLLM

Steam & Epic Games | Daily Jun 10

🎮 Story trailer for Halo: Campaign Evolved has dropped, a REMAKE of the main campaign on Unreal Engine 5 with upgraded visuals, expanded gameplay systems and 3 new missions.

Developers also posted PC specs: SSD, 100 GB. Minimum: Intel Core i7-10700K / AMD Ryzen 5 3600 + RTX 2060 SUPER / RX 6600 / Arc A580 + 16 GB RAM (8 GB VRAM); Recommended: i5-12600K / Ryzen 7 5700X + RTX 3070 / RX 7600 XT + 16 GB; High: i7-12700K / Ryzen 7 7700 + RT...

#SteamAndEpic #Ryzen #RTX #VRAM #Campaign #Recommended

vramshield Jun 8

Trying to run the new Gemma-4 26B locally on your laptop?

You might get a stable 20 t/s at first, but sustained memory-swapping will quickly push your VRAM junction to 105°C, causing sudden throttling. We wrote a practical guide on how to manage these thermal limits safely without relying on buggy hardware drivers.

https://vramshield.com/article-gemma4-laptop
#VRAM #LocalAI #Hardware

How to Run Gemma-4 26B on an 8GB Laptop Without Overheating | VRAM Shield

Learn how to run Google's Gemma-4 26B model on an 8GB VRAM laptop using llama.cpp and manage VRAM thermal throttling.

Show thread

Wordmark Jun 5

@jwildeboer i think it should be possible to combine CPU+RAM and GPU+VRAM but most models just say #nah if there is not enough expensive #VRAM question: what about distributed computing?
#gpt4all https://dwaves.de/2023/12/16/gnu-linux-how-to-install-gpt4all-on-debian-12-gpt4all-j-an-apache-2-licensed-assistant-style-chatbot-a-free-to-use-locally-running-privacy-aware-chatbot-no-gpu-or-internet-required-dialogu/
#deepseek can run on #cpu but its slow https://dwaves.de/2025/02/01/also-with-ai-opensource-for-the-win-cpu-only-benchmarking-deepseek-on-local-amd-server-can-it-be-funny/

» GNU Linux – how to install gpt4all on Debian 12 – GPT4All-J: An Apache-2 Licensed Assistant-Style Chatbot: A free-to-use, locally running, privacy-aware chatbot. No GPU or internet required – dialogue with a machine: AI: How to fix democracy? – THE NEW TOURING TEST: Humor | dwaves.de

Why keep all your results to yourself? - Blog with howtos and public free software and hardware OpenSource searchable knowledgebase about Linux and OpenSource - with a touch security, politics and philosophy.

N-gated Hacker News Jun 2

🎉 Ah, the joys of turning your overpriced RTX card into a glorified RAM extender because your laptop's memory is soldered tighter than a miser's wallet. 🤦‍♂️ Brilliant! Now you can feel like a true tech wizard, using #VRAM for swap space—because who needs efficiency when you have desperation? 🧙‍♂️💻
https://github.com/c0dejedi/nbd-vram #techhumor #gaminghardware #laptopissues #RTXswap #HackerNews #ngated

GitHub - c0deJedi/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

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 swap...

GitHub

Hacker News Jun 2

Use your Nvidia GPU's VRAM as swap space on Linux

https://github.com/c0dejedi/nbd-vram

#HackerNews #NvidiaGPU #VRAM #LinuxSwap #GPUComputing #TechTips #OpenSource

GitHub - c0deJedi/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

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 swap...

GitHub

Habr Jun 1

А что если бы видеопамять можно было использовать как обычную RAM?

У меня 8 гигабайт оперативки. На бумаге звучит терпимо — ровно до того момента, пока не откроешь десятка два вкладок в хроме, рядом Figma, Slack, ещё вкладку со Stack Overflow, и поверх всего этого попробуешь что-то писать в VS Code. Сначала система начинает подтормаживать. Потом подтормаживать сильнее. В какой-то момент я просто встаю и иду за чаем — и, возвращаясь, нередко застаю её всё в той же задумчивости.. Тут-то вопрос и нарисовался: а нельзя ли, хотя бы теоретически, приспособить видеопамять под расширение оперативки?

https://habr.com/ru/articles/1042028/

#RAM #VRAM #Swap #Оптимизация_памяти #Видеокарты #GPU #Chrome #Ноутбуки #GpuRamDrive #Файл_подкачки

А что если бы видеопамять можно было использовать как обычную RAM?

С чего всё началось У меня 8 гигабайт оперативки. На бумаге звучит терпимо — ровно до того момента, пока не откроешь десятка два вкладок в хроме, рядом Figma, Slack, ещё вкладку со Stack Overflow, и...

Хабр