Dark AI Factories
HP Z8 Fury G5 RTX 6000 Ada
HP Z8 Fury G5 RTX 6000 Ada
Couldn't load pickup availability
The HP Z8 Fury G5 Workstation with NVIDIA RTX 6000 Ada Generation is HP's flagship AI and professional visualization platform, engineered to tackle the most demanding machine learning, simulation, and content creation workflows on the planet. Supporting up to four dual-slot GPUs and Intel Xeon W-3400 series processors with up to 56 cores, the Z8 Fury G5 transforms your desktop into a supercomputing cluster capable of training complex models, rendering feature-length animations, and solving massive engineering simulations without ever leaving your office.
Key Specifications:
- Intel Xeon W7-3465X 28-core processor (configurable up to 56-core W9-3495X)
- 1— NVIDIA RTX 6000 Ada Generation GPU (48 GB GDDR6 ECC, upgradeable to 4— GPUs)
- 128 GB DDR5-4800 ECC RDIMM (expandable to 2 TB across 16 DIMM slots)
- 2 TB NVMe Gen4 SSD with option for 120 TB total storage
- Tool-less chassis with smart thermal management and s
- ISV-certified for Autodesk, Dassault, Siemens, Adobe, and major AI frameworks
Use Cases:
- Multi-GPU deep learning training and distributed model development
- Real-time ray tracing, 3D rendering, and virtual production pipelines
- CAE simulation, digital twin computation, and computational fluid dynamics
- Medical imaging AI, pharmaceutical molecular modeling, and genomics
- Financial risk modeling, quantitative research, and Monte Carlo simulation
Why Canadian Enterprises Trust the Z8 Fury G5:
From Calgary's energy sector digital twin initiatives to Montreal's VFX studios and Toronto's fintech AI labs, Canadian enterprises require workstations that balance extreme performance with reliability and local support. The HP Z8 Fury G5, distributed by Dark AI Factories, arrives with Canada-wide shipping, HP Canada warranty registration and on-site service options, and our proprietary bilingual FR/EN support tier covering technical consultation, driver optimization, and framework tuning. Our expert curation service validates every GPU configuration against your specific workload—whether PyTorch distributed training, Omniverse Enterprise rendering, or ANSYS simulation—ensuring your investment delivers measurable productivity gai
Share
