HP Z2 Mini G1a (128GB Ryzen AI Max+ PRO 395 / 96GB UMA VRAM) & ASUS Ascent GX10 (GB10 1,000 FP4 TOPS) Workstation Comparison
Comparative silicon and workstation analysis of the $2,299 HP Z2 Mini G1a (2.9L AMD Strix Halo mini workstation with 128GB LPDDR5X-8533 and up to 96GB allocatable GPU VRAM) and the $3,499 ASUS Ascent GX10 (1.2L NVIDIA GB10 Grace Blackwell desktop supercomputer with 1,000 FP4 TOPS and dual 200GbE ConnectX-7).
⚡ Key Engineering & Supply-Chain Takeaways
- HP's 2.9-liter Z2 Mini G1a ($2,299) pairs the 16-core AMD Ryzen AI Max+ PRO 395 (40-CU Radeon 8060S + 50-TOPS XDNA 2 NPU) with 128GB of 256-bit LPDDR5X-8533 memory (~256 GB/s), allowing up to 96GB to be locked as dedicated UMA VRAM for local 70B–120B LLMs.
- Designed for enterprise density, the Z2 Mini G1a integrates an internal 300W power supply, 10GbE networking, and dual Thunderbolt 4 ports, fitting 5 workstations (640GB unified RAM total) in a 4U rack.
- ASUS Ascent GX10 ($3,499, 1.2L) harnesses the NVIDIA GB10 Grace Blackwell Superchip (900 GB/s NVLink-C2C) to deliver 1,000 sparse FP4 TOPS (1 PFLOP) with 128GB unified memory and dual 200GbE ConnectX-7 ports for 2-node 405B LLM clustering.
🔬 Technical & Supply-Chain Specification Matrix
| HP Z2 Mini G1a 128GB ($2,299) | AMD Ryzen AI Max+ PRO 395 (16C Zen 5 + 40CU 8060S + 50T NPU) / 2.9L w/ 300W PSU |
|---|---|
| Z2 Mini G1a Memory & VRAM Pool | 128GB 256-Bit LPDDR5X-8533 (~256 GB/s) / Up to 96GB Dedicated UMA VRAM |
| ASUS Ascent GX10 128GB ($3,499) | NVIDIA GB10 Grace Blackwell (20C Arm + Blackwell GPU) / 1,000 FP4 TOPS (1 PFLOP) |
| GX10 Interconnect & Clustering | 900 GB/s NVLink-C2C + 128GB LPDDR5X + Dual 200GbE ConnectX-7 QSFP (Up to 405B) |
96GB Allocatable UMA VRAM Workstations vs 1-PFLOP Grace Blackwell Superchips
Official hardware documentation from HP and ASUS highlights two major 128GB unified-memory architectures in late 2026:
- HP Z2 Mini G1a ($2,299, 2.9L): Powered by the AMD Ryzen AI Max+ PRO 395 with 128GB of 256-bit LPDDR5X-8533 unified memory, administrators can allocate up to 96GB directly as GPU VRAM to run 70B Q8 and 120B Q4 LLMs locally inside a 4U-rack-mountable workstation with an internal 300W PSU.
- ASUS Ascent GX10 ($3,499, 1.2L): Built on the NVIDIA GB10 Grace Blackwell Superchip, delivering 1,000 FP4 TOPS (1 PFLOP), 128GB coherent LPDDR5X, and dual 200GbE ConnectX-7 QSFP ports to link two units for 405B parameter models.
🔗 Related AI Hardware in RECIWO Database
All 93 Devices →HP Z2 Mini G1a Workstation (Ryzen AI Max+ PRO 395 128GB Unified)
2.9-liter enterprise mini workstation powered by the 16-core AMD Ryzen AI Max+ PRO 395 (Zen 5 + 40-CU Radeon 8060S + 50-TOPS XDNA 2 NPU) with 128GB 8533 MT/s LPDDR5X unified memory and up to 96GB dedicated VRAM allocation for local 70B+ LLMs.
ASUS Ascent GX10 Desktop AI Supercomputer (NVIDIA GB10 128GB)
Compact desktop AI supercomputer built on the NVIDIA GB10 Grace Blackwell Superchip (20-core Arm CPU + Blackwell GPU via 900 GB/s NVLink-C2C), delivering 1,000 FP4 TOPS (1 PFLOP) with 128GB unified LPDDR5X and dual 200GbE ConnectX-7 clustering.
Framework Desktop (Ryzen AI Max+ 395 128GB)
4.5-liter modular Mini-ITX workstation powered by AMD's 16-core Ryzen AI Max+ 395 ('Strix Halo') APU with a 40-CU Radeon 8060S GPU and 128GB unified LPDDR5X-8000 memory for local 70B–120B LLM execution.
NVIDIA DGX Spark (GB10 Grace Blackwell Superchip)
Palm-sized personal AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip with 128GB coherent unified LPDDR5X memory and ConnectX-7 200GbE clustering.
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A technical architecture and specification comparison of the HP Z2 Mini G1a ($2,299, 2.9L AMD Ryzen AI Max+ PRO 395 workstation with 128GB LPDDR5X-8533 and 96GB allocatable UMA VRAM), ASUS Ascent GX10 ($3,499, NVIDIA GB10 Grace Blackwell Superchip with 1,000 FP4 TOPS, 128GB unified RAM, and 200GbE ConnectX-7), Framework Desktop ($1,999), and NVIDIA DGX Spark ($3,999).
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NVIDIA DGX Spark (GB10 128GB) Desk Supercomputer Review: Running 200B FP4 Local LLMs at 140W
RECIWO Labs tested the $2,999 NVIDIA DGX Spark (GB10 Grace Blackwell Superchip, 128GB LPDDR5X) against the 64GB Mac mini M5 Pro and dual RTX 5090 towers across 70B FP8 and 200B NVFP4 models.