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

- 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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| Part | Price | Buy |
|---|---|---|
GPU 2×NVIDIA GeForce RTX 3090 | $1,700$850 each | eBay |
CPU AMD Ryzen 7 7700X 8-Core | $264 | Amazon |
CPU Cooler ID-COOLING FROZN A720 | $69 | Amazon |
Motherboard ASUS ROG Strix X670-E Gaming ATX | $420 | Amazon |
Memory Corsair Vengeance 32GB (2 x 16GB) DDR5 | $134 | Amazon |
Storage Samsung 980 Pro 1TB M.2-2280 NVMe SSD | $89 | Amazon |
Accessories NVLink SLI bridge | $100 | eBay |
Case Mechanic Master C34 Plus | $220 | Amazon |
Power Supply Corsair RM1200e | $234 | Amazon |
Cooling Arctic case fans (2x P14 Max, 3x P12, 3x P12 Slim) | $60 | Amazon |
| 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 27BQ8_0 · ~22 tokens/sec
Runner-up · also largest that fits
Qwen3.6 35B-A3BQ6_K · ~85 tokens/sec
Fastest good model
gpt-oss-20bMXFP4 · ~89 tokens/sec
| Model | Quant | Speed | Fit |
|---|---|---|---|
| Qwen3.8 27B | Q8_0 | ~22 tok/s | Runs well |
| Qwen3.6 35B-A3B | Q6_K | ~85 tok/s | Runs well |
| Gemma 4 31B | Q8_0 | ~20 tok/s | Runs well |
| Gemma 4 26B A4B | Q8_0 | ~65 tok/s | Runs well |
| gpt-oss-20b | MXFP4 | ~89 tok/s | Runs well |
| Qwen3.5 9B | Q8_0 | ~55 tok/s | Runs well |
| Gemma 4 E4B | Q8_0 | ~61 tok/s | Runs well |
| Phi-4 | Q8_0 | ~39 tok/s | Runs 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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