Head-to-head · Best AI Workstations

Apple Mac Studio M3 Ultra vs HP Z8 Fury G5

Which is the better buy? Side-by-side on rating, price, strengths, and watch-outs — with the published ratings we averaged to get there.

The short answer

HP Z8 Fury G5 comes out ahead by a narrow margin (4.3 vs 4.4). The gap is mostly about Best for 4-GPU training and inference — enterprise tier with HP support — read the strengths below before deciding.

Ranked #5 in Best AI Workstations

Apple Mac Studio M3 Ultra

4.3

$3,999as of Apr 25

The Apple Mac Studio with the M3 Ultra chip is the highest-memory-bandwidth single-machine pick in this guide. The base 96 GB / 64-GPU-core configuration starts at $3,999 and scales up to 512 GB unified memory — enough to hold a 405B-parameter Q4 model on a single desktop. Memory bandwidth of 819 GB/s is roughly three times that of a Mac mini M4 Pro and gives the Mac Studio the fastest single-user 70B Q4 inference of any machine in this guide that doesn't have a discrete pro GPU. Reviewers across PCMag, TechRadar, Tom's Guide, and Macworld praised its compactness, silent operation, and raw performance in creative workflows; the trade-off is the closed Apple ecosystem (MLX/Metal only, no CUDA) and zero hardware upgradability after purchase. For local-LLM developers who can live within the Mac toolchain and need a 256+ GB unified memory ceiling, this is the most cost-effective path under $10,000.

Strengths

— Up to 512 GB unified memory at 819 GB/s — the highest memory bandwidth in this entire guide
— Compact and stylish desktop chassis (3.7 x 7.7 x 7.7 inches) with silent operation
— Operates quietly even under heavy AI inference load

Watch-outs

— Internal components like GPU and storage are not upgradable
— High price for the 256/512 GB unified-memory configs that unlock 405B-class models
— Lacks Wi-Fi 7 support

$3,999 · Check Price on Amazon Full review →

Higher ratedRanked #4 in Best AI Workstations

HP Z8 Fury G5

4.4

$7,995as of Apr 25

The HP Z8 Fury G5 is HP's flagship workstation — a formidable, highly scalable tower designed specifically for demanding professional media, VFX, and AI creators who need a four-GPU ceiling. Built around Intel's Xeon W9-3495X (56 cores), 128 GB DDR5 ECC, and up to four NVIDIA RTX A6000 cards, it is a credible local-LLM training and inference rig at the upper end. The configured price varies enormously: a 1-GPU base build lands around $7,995, a 2-GPU build around $14,000, and a fully loaded 4x RTX A6000 configuration pushes well past $25,000. The price field below reflects a typical 1-GPU configured build; readers planning multi-GPU AI work should expect to roughly triple that figure.

Strengths

— Supports up to a four-GPU configuration for extreme parallel AI inference and tensor-parallel training
— Features an easily accessible design with a built-in handle for serviceability
— Offers a massive range of customization options for specific workloads

Watch-outs

— Scaling up configurations becomes prohibitively expensive — 4x A6000 builds push $25,000+
— Enormous tower chassis requires significant floor or desk space
— Interior uses plain black plastic rather than premium materials

$7,995 · Check Price on Amazon Full review →

How they stack up

Apple Mac Studio M3 Ultra

The Apple Mac Studio M3 Ultra is the best Mac-ecosystem AI workstation and competitive on raw local-LLM throughput per dollar. Versus the DGX Spark ($4,699 / 128 GB), the base Mac Studio M3 Ultra ($3,999 / 96 GB) loses on memory ceiling but wins on memory bandwidth (819 vs 273 GB/s) — meaning faster decode tok/s on dense models that fit. Step up to a 256 GB or 512 GB Mac Studio config and you exceed the Spark's memory ceiling at higher bandwidth, at the cost of premium Apple memory pricing. Versus the multi-GPU PC workstations (Puget, HP Z6/Z8), the Mac Studio cannot match peak training throughput but is silent, half the size, and roughly half the price of an equivalent dual-GPU PC build.

HP Z8 Fury G5

Similar to the Dell Precision 7960 Tower, the HP Z8 Fury G5 supports four-GPU configurations for extreme parallel processing, but it differentiates itself with a built-in handle and a design prioritizing easy serviceability. Versus its smaller sibling the HP Z6 G5 A, the Z8 Fury G5 is the right pick when you genuinely need 4 GPUs (versus 3) or the Xeon W9 platform's enterprise ECC and reliability features. Versus the Puget Genesis II, the Z8 Fury G5 brings HP's enterprise service network and parts availability, while Puget brings hand-tuned assembly and a more thoughtful configurator. Versus the Apple Mac Studio M3 Ultra, the Z8 Fury G5 is twice the size and triple the price for a 1-GPU build, but unlocks training-class workloads the Mac Studio cannot touch.

Specs side-by-side

Spec	Apple Mac Studio M3 Ultra	HP Z8 Fury G5
CPU	Apple M3 Ultra (up to 32-core)	Intel Xeon W9-3495X (56-core)
GPU	Integrated up to 80-core Apple GPU	Up to 4x Nvidia RTX A6000 (192 GB pooled VRAM)
RAM	96–512 GB unified memory	128 GB DDR5 ECC (configurable to 2 TB)
Storage	Up to 16 TB SSD	NVMe SSD (configurable, multiple bays)
Memory Bandwidth	819 GB/s	~307 GB/s system; ~768 GB/s per RTX A6000 VRAM
Form Factor	Compact desktop	Full tower

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