Custom RTX 5090 AI Workstation (Value Build) vs HP Z8 Fury G5 (4x RTX 6000 Ada) for Local AI
Side-by-side comparison of 2 AI workstation configurations. All specs from manufacturer datasheets.
| Specification | Custom RTX 5090 AI Workstation (Value Build) | HP Z8 Fury G5 (4x RTX 6000 Ada) |
|---|---|---|
| Form Factor | desktop tower | deskside workstation |
| GPU Model | NVIDIA GeForce RTX 5090 | NVIDIA RTX 6000 Ada Generation |
| GPU Count | 1 | 4 |
| Gpu vram each gb | 32 | 48 |
| Total GPU VRAM (GB) | 32 | 192 |
| Memory Architecture | dedicated VRAM (GDDR7) | dedicated VRAM (GDDR6) |
| Gpu memory bandwidth each gbps | 1792 | 960 |
| System RAM (GB) | 64 | 256 |
| System Memory Type | DDR5-5600 | DDR5-4800 ECC |
| ECC Memory | — | Yes |
| CPU Model | AMD Ryzen 9 9950X | Intel Xeon w9-3495X |
| CPU Vendor | AMD | Intel |
| Cpu cores | 16 | 56 |
| Storage primary gb | 2048 | 8192 |
| Storage Type | NVMe SSD (PCIe 5.0) | NVMe SSD RAID |
| NVLink Support | No (RTX 5090 does not support NVLink) | No (RTX 6000 Ada has no NVLink — NVIDIA datasheet 2504660) |
| Power supply watts | 1200 | 1450 (dual) |
| Estimated peak power watts | 850 | 2400 |
| Cooling | air (custom AIO optional) | professional air cooling (Z Cool) |
| Dimensions | Mid-tower ATX | Full-tower workstation |
| Weight kg | — | 40+ |
| Operating system | Linux (Ubuntu 24.04) / Windows 11 | Windows 11 Pro / Ubuntu |
| CUDA Support | Yes | Yes |
| Metal Support | No | No |
| Linux Support | Yes | Yes (certified) |
| Windows Support | Yes | Yes |
| Wsl support | Yes (WSL2 with CUDA) | Yes |
| Warranty (Years) | Varies by component (typically 3yr GPU) | 3 |
| Onsite Support | No | Yes (HP Care Pack) |
| Release Year | 2025 | 2024 |
Category Winners
Most Accelerator Memory
HP Z8 Fury G5 (4x RTX 6000 Ada)
Lowest Price
Custom RTX 5090 AI Workstation (Value Build)
Lowest Power
Custom RTX 5090 AI Workstation (Value Build)
Best Value (VRAM/$)
Custom RTX 5090 AI Workstation (Value Build)
Model-Fit Comparison (Q4 Quantization)
Calculated estimates using the site's central ModelFitService.
| Model | Custom RTX 5090 AI Workstation (Value Build) | HP Z8 Fury G5 (4x RTX 6000 Ada) |
|---|---|---|
| Llama 3.1 8B | ✓ | ✓ |
| Llama 3.1 70B | ✗ | ✓ |
| Llama 3.2 1B | ✓ | ✓ |
| Llama 3.2 3B | ✓ | ✓ |
| Qwen 2.5 7B | ✓ | ✓ |
| Qwen 2.5 14B | ✓ | ✓ |
| Qwen 2.5 32B | ✓ | ✓ |
| Qwen 2.5 72B | ✗ | ✓ |
| Mistral 7B | ✓ | ✓ |
| Mixtral 8x7B | ✓ | ✓ |
| DeepSeek R1 7B | ✓ | ✓ |
| DeepSeek R1 32B | ✓ | ✓ |
| DeepSeek R1 70B | ✗ | ✓ |
| Phi-3 Medium 14B | ✓ | ✓ |
| Gemma 2 9B | ✓ | ✓ |
| Gemma 2 27B | ✓ | ✓ |
| Stable Diffusion XL | ✓ | ✓ |
| Flux.1 Dev | ✓ | ✓ |
| Flux.1 Schnell | ✓ | ✓ |
Which Should You Choose?
Custom RTX 5090 AI Workstation (Value Build)
Custom BuildBest value CUDA workstation. RTX 5090 with 32GB VRAM handles 7B-14B models at full speed, 33B with quantization.
Best for: Budget CUDA development and inference
Limitation: 32GB VRAM limits model size; DIY means no unified warranty
HP Z8 Fury G5 (4x RTX 6000 Ada)
HP192GB combined VRAM over PCIe P2P (no NVLink on RTX 6000 Ada). Enterprise training and 405B-class inference with full warranty.
Best for: Enterprise multi-GPU training and large model inference
Limitation: Very expensive ($45k+); large physical footprint; high power requirements
Some links are affiliate links. See our disclosure. Specifications from manufacturer datasheets — no hands-on testing was performed.