Workstation build · mid tower · New parts
Professional AI Workstation
High-end single-GPU workstation
Built by Llama Builds · Updated

- Build estimate
- $10,397
- VRAM
- 48GB
- GPUs
- 1
- System RAM
- 64GB
Build prices are historical estimates. Follow each retailer link for current pricing.
What can this build run?
With 48GB of VRAM across one GPU, this build comfortably runs models up to Qwen3.6 35B-A3B (Q8_0, ~100 tokens/sec). Our top all-round pick for it is Qwen3.8 27B at Q8_0 (~25 tokens/sec).
Parts list
Every part in the Professional AI Workstation
Prices at time of build (2025); check current prices.
We may earn a commission when you buy through links on this page. It never changes what we recommend. How we make money
| Part | Build estimate | Current availability |
|---|---|---|
| GPUNVIDIA RTX 6000 Ada Generation | Build estimate$8,999 | Search Amazon |
| CPUAMD Ryzen 9 7900X | Build estimate$329 | View at Amazon |
| MotherboardNZXT N7 B650E | Build estimate$190 | Search Amazon |
| Power SupplyCORSAIR RM1000x 80+ Gold | Build estimate$180 | View at Amazon |
| Memory2×Corsair Vengeance DDR5-5600 32GB | Build estimate$240$120 each | View at Amazon |
| StorageSamsung 980 PRO 1TB NVMe SSD | Build estimate$130 | Search Amazon |
| CaseNZXT H7 Flow Mid-Tower | Build estimate$129 | View at Amazon |
| CPU CoolerNZXT Kraken 280 RGB AIO | Build estimate$200 | View at Amazon |
| Estimated build total | $10,397 |
Capability
Models this build runs well
Estimated for a single user with 8K context. Best quantization that fits, ranked by our capability score.
Best overall · also coding, reasoning, vision
Qwen3.8 27BQ8_0 · ~25 tokens/sec
Runner-up · also largest that fits
Qwen3.6 35B-A3BQ8_0 · ~100 tokens/sec
Fastest good model
gpt-oss-20bMXFP4 · ~130 tokens/sec
| Model | Quant | Speed | Fit |
|---|---|---|---|
| Qwen3.8 27B | Q8_0 | ~25 tok/s | Runs well |
| Qwen3.6 35B-A3B | Q8_0 | ~100 tok/s | Runs well |
| Gemma 4 31B | Q8_0 | ~23 tok/s | Runs well |
| Gemma 4 26B A4B | Q8_0 | ~89 tok/s | Runs well |
| gpt-oss-20b | MXFP4 | ~130 tok/s | Runs well |
| Qwen3.5 9B | Q8_0 | ~66 tok/s | Runs well |
| Gemma 4 E4B | Q8_0 | ~75 tok/s | Runs well |
| Phi-4 | Q8_0 | ~47 tok/s | Runs well |
The build
About this build
A clean single-GPU workstation built around the 48GB NVIDIA RTX 6000 Ada Generation for enterprise AI development and training, on a mainstream Ryzen 9 platform.
Why this build
A clean, professional build featuring the NVIDIA RTX 6000 Ada Generation for enterprise AI development and training workloads. The card’s 48GB of VRAM does the heavy lifting, while a Ryzen 9 7900X, 64GB of DDR5, and an NZXT H7 Flow case keep the rest of the system straightforward.
Specifications
Full specs
- GPU
- RTX 6000 Ada
- CPU
- AMD Ryzen 9 7900X
- Motherboard
- NZXT N7 B650E
- Memory
- 64GB DDR5-5600 (2 x 32GB Corsair Vengeance)
- Storage
- Samsung 980 Pro 1TB NVMe SSD
- Power supply
- Corsair RM1000x 80+ Gold
- Case
- NZXT H7 Flow (mid tower)
- Cooling
- NZXT Kraken 280 RGB AIO
- Form factor
- mid tower
- GPU power
- 300W rated
Keep browsing
Similar builds
$43,568Workstation · 384GB VRAM
a16z Personal AI Workstation
Cutting-edge 4x RTX Pro 6000 Blackwell workstation
4× RTX PRO 6000
$6,486High-end · 96GB VRAM
FJÄLLBO
AI workstation arranged on an IKEA table
4× RTX 3090
$20,429Server · 140GB VRAM
PewDiePie "Odysseus"
PewDiePie's first NVIDIA multi-GPU inference rig
7× RTX 4000 Ada