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

- Total cost
- $10,397
- VRAM
- 48GB
- GPUs
- 1
- System RAM
- 64GB
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
We may earn a commission when you buy through links on this page. It never changes what we recommend. How we make money
| Part | Price | Buy |
|---|---|---|
GPU NVIDIA RTX 6000 Ada Generation | $8,999 | Amazon |
CPU AMD Ryzen 9 7900X | $329 | Amazon |
Motherboard NZXT N7 B650E | $190 | Amazon |
Power Supply CORSAIR RM1000x 80+ Gold | $180 | Amazon |
Memory 2×Corsair Vengeance DDR5-5600 32GB | $240$120 each | Amazon |
Storage Samsung 980 PRO 1TB NVMe SSD | $130 | Amazon |
Case NZXT H7 Flow Mid-Tower | $129 | Amazon |
CPU Cooler NZXT Kraken 280 RGB AIO | $200 | Amazon |
| Total | $10,397 |
Prices at time of build (2025); check current prices.
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
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