Head-to-head · Best AI Workstations

Apple Mac Studio M3 Ultra vs Puget Systems Genesis II

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

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The short answer

Puget Systems Genesis II comes out ahead by a narrow margin (4.3 vs 4.5). The gap is mostly about Best for enterprise — multi-GPU training and inference — read the strengths below before deciding.

Ranked #5 in Best AI Workstations

Apple Mac Studio M3 Ultra

4.3

4 sources2 derived$2,499as of Aug 1

Nothing else in this guide moves memory faster than the Apple Mac Studio with the M3 Ultra chip. The base 96 GB / 64-GPU-core configuration starts at $3,999 and scales up to 512 GB of unified memory, enough to hold a 405B-parameter Q4 model on a single desktop. Its 819 GB/s of memory bandwidth is roughly three times a Mac mini M4 Pro's, which gives it the fastest single-user 70B Q4 inference of any machine here that lacks a discrete pro GPU. Reviewers at PCMag, TechRadar praised the compactness, silent operation, and raw performance in creative workflows. The trade-off is Apple's closed 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

$2,499 · Buy at apple.com Full review →

Higher ratedRanked #2 in Best AI Workstations

Puget Systems Genesis II

4.5

3 sources$10,569as of Apr 25

Enterprise buyers who need configurations the major OEMs can't match are the audience for the Puget Systems Genesis II, a professionally built and deeply customizable workstation. Specs run to AMD Threadripper Pro, up to 4x RTX 4090 (or RTX Ada workstation cards), and 256 GB ECC DDR4, and Puget's hand-tuned assembly shows in both performance and build quality, with a quiet edition among the options. On local LLM work, a single RTX 4090 (24 GB VRAM at 1008 GB/s) runs 70B Q4 with system-RAM offload at roughly 10-20 tokens/sec; a 4x RTX 4090 configuration pools 96 GB of VRAM, holds 70B Q4 entirely in VRAM, and reaches 30-40 tokens/sec through tensor parallelism. The steep entry price limits it to buyers who can justify a $10K+ workstation. If local LLMs are the only goal, the DGX Spark below offers comparable model-size headroom at less than half the price.

Strengths

— Highly customizable with a wide assortment of mainstream and pro-channel components like Nvidia Ada workstation GPUs
— Serious professional build quality with careful component selection and assembly
— Exceptional customer experience including an easy-to-use configuration tool with detailed component comments

Watch-outs

— Extremely expensive, with review units costing over $10,000 and configurations reaching nearly $61,000
— Configurations with 4x RTX 4090 lose the NVLink that would have helped tensor-parallel LLM inference
— Price can be prohibitive compared to a DGX Spark or HP Z6 G5 A for buyers whose only need is local LLMs

$10,569 · Buy at pugetsystems.com Full review →

Derived means the reviewer published no score, so one was inferred from their written verdict. Everything else is a number the publisher printed. How we rank.

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.

Puget Systems Genesis II

The Puget Systems Genesis II is the enterprise pick. Versus the HP Z8 Fury G5, it offers comparable scale-up capability but in a quieter chassis with a more thoughtful configurator. Versus the HP Z6 G5 A, it's two tiers up in price and ceiling. Versus the NVIDIA DGX Spark, it's a different class of machine entirely — the DGX Spark is a 128 GB unified-memory dev box, the Genesis II is a multi-GPU training/inference workstation. For buyers whose only goal is running large local LLMs, the DGX Spark is the more cost-effective answer; the Genesis II earns its premium when training, fine-tuning, or multi-application workstation duty are part of the picture.

Specs side-by-side

Spec	Apple Mac Studio M3 Ultra	Puget Systems Genesis II
CPU	Apple M3 Ultra (up to 32-core)	AMD Threadripper Pro 5975WX (32-core)
GPU	Integrated up to 80-core Apple GPU	Up to 4x Nvidia RTX 4090 (96 GB pooled VRAM)
RAM	96–512 GB unified memory	256 GB DDR4-3200 ECC
Storage	Up to 16 TB SSD	4 TB Sabrent Rocket 4 Plus NVMe
Memory Bandwidth	819 GB/s	~76 GB/s system; ~1008 GB/s per RTX 4090 VRAM
Form Factor	Compact desktop	Full tower (Fractal Define 7)

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