Deskside and tower workstations
HP ZGX Fury vs HP Z8 Fury G6i
Memory, bandwidth, software stack, price and the models each one can hold. Generated from the two sourced machine records; estimates are labelled.
NVIDIA GB300
HP ZGX Fury
496 GB CPU + 252 GB GPU
Open the record
NVIDIA RTX PRO
HP Z8 Fury G6i
96 GB per GPU · up to 4 GPUs
Open the recordWhat actually differs
- Different software stacks: the HP ZGX Fury runs CUDA, the HP Z8 Fury G6i runs CUDA. Check that your runtime and model format are supported before comparing numbers.
- The HP ZGX Fury has 156 GB more model memory (252 GB vs 96 GB). That decides which models fit at all.
- Memory bandwidth is not in the record for the HP Z8 Fury G6i, so the Lab cannot compare generation speed ceilings.
- No public list price in the record for either machine. Ask the supplier for a configured quote.
- Form factor: Deskside workstation vs Expandable tower.
Which models fit
Estimate · 4-bit · 8K context · 1 request| Model | HP ZGX Fury | HP Z8 Fury G6i |
|---|---|---|
| Llama 3.1 8B | Fits 12 GB≤ 1251 tok/s | Fits 12 GBBandwidth not in record |
| Qwen3 14B | Fits 16 GB≤ 721 tok/s | Fits 16 GBBandwidth not in record |
| Qwen3 32B | Fits 28 GB≤ 338 tok/s | Fits 28 GBBandwidth not in record |
| Llama 3.3 70B | Fits 50 GB≤ 164 tok/s | Fits 50 GBBandwidth not in record |
| gpt-oss-20b (MoE) | Fits 19 GB≤ 2871 tok/s | Fits 19 GBBandwidth not in record |
| gpt-oss-120b (MoE) | Fits 76 GB≤ 2008 tok/s | Fits 76 GBBandwidth not in record |
| Qwen3 235B-A22B (MoE) | Fits 147 GB≤ 499 tok/s | Too large 147 GB |
| DeepSeek V3 / R1 671B (MoE, MLA) | Too large 404 GB | Too large 404 GB |
Specifications
Sourced and dated| HP ZGX Fury | HP Z8 Fury G6i | |
|---|---|---|
| Chip / accelerator | GB300 Grace Blackwell Ultra | Intel Xeon 600 · RTX PRO 6000 Blackwell Max-Q option |
| Platform | NVIDIA GB300 | NVIDIA RTX PRO |
| Model memory | 496 GB CPU + 252 GB GPU | 96 GB per GPU · up to 4 GPUs |
| Memory bandwidth | GPU 7.1 TB/s · CPU 396 GB/s | Confirm selected configuration |
| Software stack | CUDA | CUDA |
| Operating system | Ubuntu with NVIDIA AI Developer Tools | Windows 11 Pro · confirm Linux option |
| Storage | Configure with supplier | Up to 104 TB · configured drives |
| Networking | Confirm selected configuration | Confirm selected configuration |
| Form factor | Deskside workstation | Expandable tower |
| Dimensions | Confirm selected configuration | 439.1 × 219.4 × 558.8 mm |
| Weight | Not verified | From 22.2 kg |
| Power rating (not consumption) | Not verified · measure actual consumption | 1,350 / 1,700 W single PSU by voltage · up to 2,700 W dual aggregate capacity |
| Supplier list price | Price from the manufacturer · No public list price · manufacturer page | Price from the manufacturer · No public list price · manufacturer page |
| Availability | Check regional availability | Check regional availability |
| Model configurations in the Lab | 4 | 2 |
| Setups in the Lab | 3 | 1 |
| Record reviewed | 2026-09-07 | 2026-09-07 |
Before you choose
HP ZGX Fury
- HP states 748 GB coherent memory. Confirm the exact local configuration and delivery schedule with HP.
- Manufacturer maximum-model claims depend on quantization and workload; they are not lab benchmarks.
HP Z8 Fury G6i
- Up to 2 TB DDR5 ECC system RAM is separate from GPU memory. The memory screen uses one 96 GB GPU.
- Multiple GPUs do not automatically form one memory pool. Framework support, sharding and interconnect overhead must be evaluated.
HP ZGX Fury compared with
NVIDIA DGX StationOwn one of these? A measured run (model revision, runtime, context, tokens per second) is worth more than this whole page. Publish it.