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Llama Builds

Mid-range build · 25L compact case · New + used parts

Hardigg 3090

Highly portable dual-3090 LLM rig

Built by r/LocalLLaMA community member · Source: r/LocalLLaMA: 25L portable NV-linked dual 3090 LLM rig · Updated

Compact tempered-glass case holding two EVGA GeForce RTX 3090 cards glowing red, a Corsair RM1200e power supply, and ID-COOLING fans.
Total cost
$3,090
VRAM
48GB
GPUs
2
System RAM
32GB

What can this build run?

With 48GB of VRAM across 2 GPUs, this build comfortably runs models up to Qwen3.6 35B-A3B (Q6_K, ~85 tokens/sec). Our top all-round pick for it is Qwen3.8 27B at Q8_0 (~22 tokens/sec).

Parts list

Every part in the Hardigg 3090

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PartPriceBuy

GPU

2×NVIDIA GeForce RTX 3090

$1,700$850 eacheBay

CPU

AMD Ryzen 7 7700X 8-Core

$264Amazon

CPU Cooler

ID-COOLING FROZN A720

$69Amazon

Motherboard

ASUS ROG Strix X670-E Gaming ATX

$420Amazon

Memory

Corsair Vengeance 32GB (2 x 16GB) DDR5

$134Amazon

Storage

Samsung 980 Pro 1TB M.2-2280 NVMe SSD

$89Amazon

Accessories

NVLink SLI bridge

$100eBay

Case

Mechanic Master C34 Plus

$220Amazon

Power Supply

Corsair RM1200e

$234Amazon

Cooling

Arctic case fans (2x P14 Max, 3x P12, 3x P12 Slim)

$60Amazon
Total$3,090

Prices at time of build (2025); check current prices. Most parts were bought used on Facebook Marketplace. Individual parts add up to $3,290.

Capability

Models this build runs well

Estimated for a single user with 8K context, with the model split across all GPUs (for example with llama.cpp). Best quantization that fits, ranked by our capability score.

  • Best overall · also coding, reasoning, vision

    Qwen3.8 27B

    Q8_0 · ~22 tokens/sec

  • Runner-up · also largest that fits

    Qwen3.6 35B-A3B

    Q6_K · ~85 tokens/sec

  • Fastest good model

    gpt-oss-20b

    MXFP4 · ~89 tokens/sec

ModelQuantSpeedFit
Qwen3.8 27BQ8_0~22 tok/sRuns well
Qwen3.6 35B-A3BQ6_K~85 tok/sRuns well
Gemma 4 31BQ8_0~20 tok/sRuns well
Gemma 4 26B A4BQ8_0~65 tok/sRuns well
gpt-oss-20bMXFP4~89 tok/sRuns well
Qwen3.5 9BQ8_0~55 tok/sRuns well
Gemma 4 E4BQ8_0~61 tok/sRuns well
Phi-4Q8_0~39 tok/sRuns well

The build

About this build

Two NVLinked RTX 3090s squeezed into a 25-liter case so the rig can travel between an offline workplace and home for updates. With each GPU power-limited to 300W, it runs at about 37 to 40 dB.

Why this build

The main reason for the portability is that the workplace of the coworker I built this for is truly offline, with no possibility of LAN or Wi-Fi. To download new models and update the system periodically, I need to go pick it up from him and take it home.

Everything except the case, CPU cooler, and PSU was bought used on Facebook Marketplace.

Notes and caveats

Warning: these components don’t fit if you try to copy this build.

  • The bottom GPU rests on the Arctic P12 Slim fans at the bottom of the case, which push up on the card.
  • The top Arctic P14 Max fans don’t have mounting points for half of their screw holes. They stay in place by being wedged very tightly against the motherboard, case, and PSU.
  • There’s probably way too much pressure on the PCIe cables coming off the GPUs when you close the glass.

All that being said, with a 300W power limit applied to both GPUs and a silent fan profile, this rig has surprisingly good temperatures and noise levels considering how compact it is. It runs at about 37 to 40 decibels from 1 meter away. During prompt processing and inference, the GPUs run at about 63°C, the CPU at 55°C, and noise sits at 34 decibels.

Source

Originally shared on r/LocalLLaMA: 25L portable NV-linked dual 3090 LLM rig.

Specifications

Full specs

GPU
2× RTX 3090
CPU
AMD Ryzen 7 7700X (8-core)
Motherboard
ASUS ROG Strix X670-E Gaming (ATX)
Memory
32GB (2 x 16GB) DDR5 (Corsair Vengeance)
Storage
Samsung 980 Pro 1TB NVMe SSD
Power supply
Corsair RM1200e
Case
Mechanic Master C34 Plus (25L)
Cooling
ID-COOLING FROZN A720 CPU cooler; Arctic P14 Max, P12, and P12 Slim case fans
Form factor
25L compact case
GPU power
700W rated

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