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  3. HP Z8 Fury G5 (Dual RTX A6000)

HP Z8 Fury G5 (Dual RTX A6000)

HPTowerDual NVIDIA RTX A6000 · 96GB VRAM

Complete specifications and purchasing guidance for this pre-configured system.

Quick answer

HP Z8 Fury G5 (Dual RTX A6000) is best for teams that want a pre-configured path to local AI without building from parts.

Price

$12,999

CPU

Dual Intel Xeon W9-3495X

GPU

Dual NVIDIA RTX A6000

Memory

512GB


What's Inside
Hardware included with this configuration.
CPU
Dual Intel Xeon W9-3495X
GPU
Dual NVIDIA RTX A6000
Memory
512GB
Storage
8TB (8,192GB SSD)
Power supply
1800W PSU
Discrete GPU included
Yes
Specifications
Technical details for deployment planning.
FieldDetails
ManufacturerHP
CategoryPre-built system
Form factorTower
Total VRAM / unified memory96GB
GPU cores (aggregate)21,504
Power / TDP1,800W
Noise levelLoud
Dimensions548 x 220 x 548 mm
Warranty3 years
Release dateMay 10, 2022
Where to Buy
Pre-configured systems available from authorized retailers.
AmazonRecommended
Newegg

Note: Affiliate links help support LocalAI Computer. Prices may vary.

Upgrade Options
This chassis supports component upgrades for extended service life.

GPU, memory, and storage can be upgraded. Validate total wattage against the 1800W PSU before installing higher-draw components.

Consider next-generation GPUs if you need additional throughput or VRAM for larger models.

System decision workflow

Check model requirementsValidate compatibilityCompare GPU optionsReview build plansOpen buying guides

Systems FAQ

Is HP Z8 Fury G5 (Dual RTX A6000) good for local AI workloads?

Use this page as a baseline for memory, GPU, and power. Then validate exact model and quantization fit in compatibility checks before buying.

How should I compare this system against other options?

Compare price, available memory, and power draw against other systems and GPU pages, then map that to your target model requirements.

What is the next step after reviewing system specs?

Open model requirements and compatibility routes to confirm whether your target models run at acceptable speed and memory headroom.