Head-to-head · Best AI Workstations

NVIDIA DGX Spark 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.

Verdict is reader-supported. As an Amazon Associate we earn from qualifying purchases. Some links on this page are affiliate links — if you click through and buy, we may earn a small commission at no extra cost to you. Our ratings are sourced from independent publications, not sponsors.

The short answer

Puget Systems Genesis II comes out ahead by a narrow margin (4.4 vs 4.2). Puget Systems Genesis II is best for: Best for enterprise — multi-GPU training and inference. Read the strengths below before deciding.

Ranked #4 in Best AI Workstations

NVIDIA DGX Spark

4.2

1 source$4,649.99as of Aug 1

The NVIDIA DGX Spark is the productized version of Project DIGITS — a 150 x 150 x 50.5 mm box housing the GB10 Grace Blackwell Superchip, 128 GB unified LPDDR5x, and the full CUDA AI stack out of the box. Tom's Hardware called it 'a well-rounded toolkit for local AI'; ServeTheHome called it 'must-have for AI developers'; LMSYS published the most thorough independent benchmarks. The 128 GB unified-memory ceiling is the headline feature: it loads models that would otherwise need a $30K+ multi-GPU rig. The catch is bandwidth-limited decode — LMSYS measured Llama-3.1 70B FP8 at 2.7 tokens/sec single-batch, while GPT-OSS 120B (MoE, ~17B active) hits ~14.5 tokens/sec per ServeTheHome. Best understood as a CUDA-native development box for buyers who need to iterate on big-model code without renting cloud GPUs.

Strengths

— 128 GB unified LPDDR5x memory — fits 70B FP8 / 120B Q4 / 405B with two clustered units
— Full CUDA + NVIDIA AI stack preinstalled; the most polished local-AI dev box on the market
— Dual ConnectX-7 200 GbE QSFP56 ports for low-latency two-unit clustering

Watch-outs

— 273 GB/s LPDDR5x bandwidth caps decode tok/s on dense large models — 70B FP8 measures ~2.7 tok/s on a single unit
— Linux-only, no Windows or gaming use; specialist hardware for AI developers

$4,649.99 · Check Price on Amazon Full review →

Higher ratedRanked #2 in Best AI Workstations

Puget Systems Genesis II

4.4

1 source$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, per TechRadar
— Serious professional build quality with careful component selection and assembly
— Available in a quiet edition specifically designed to minimize noise while maintaining workstation power, as Tom's Hardware describes

Watch-outs

— Extremely expensive, with review units costing over $10,000 and configurations reaching nearly $61,000, according to TechRadar

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

How they stack up

NVIDIA DGX Spark

The NVIDIA DGX Spark is a single-purpose development box next to the Puget Systems Genesis II and HP Z6 G5 A, which are multi-GPU workstations. It runs Linux only, with 128 GB of unified memory and the CUDA stack preinstalled in a 150 x 150 x 50.5 mm box. Its 273 GB/s memory bandwidth is a third of the Apple Mac Studio M3 Ultra's 819 GB/s, which limits decode speed on dense models, though the Mac Studio has no CUDA.

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	NVIDIA DGX Spark	Puget Systems Genesis II
CPU	20-core Arm (10x Cortex-X925 + 10x Cortex-A725)	AMD Threadripper Pro 5975WX (32-core)
GPU	NVIDIA GB10 Grace Blackwell Superchip	Up to 4x Nvidia RTX 4090 (96 GB pooled VRAM)
RAM	128 GB unified LPDDR5x	256 GB DDR4-3200 ECC
Storage	4 TB NVMe M.2 (user-replaceable, self-encrypting)	4 TB Sabrent Rocket 4 Plus NVMe
Memory Bandwidth	273 GB/s	~76 GB/s system; ~1008 GB/s per RTX 4090 VRAM
Form Factor	Compact desktop (150 x 150 x 50.5 mm, 1.2 kg)	Full tower (Fractal Define 7)

← See the full ranking of best ai workstations