Head-to-head · Best AI Workstations

Apple Mac Studio M3 Ultra vs NVIDIA DGX Spark

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

Apple Mac Studio M3 Ultra comes out ahead by a narrow margin (4.3 vs 4.2). Apple Mac Studio M3 Ultra is best for: Best for Mac — highest memory bandwidth in a desktop chassis. Read the strengths below before deciding.

Higher ratedRanked #1 in Best AI Workstations

Apple Mac Studio M3 Ultra

4.3

2 sources

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
— Best Llama-3-70B Q4 inference per dollar of any single-machine pick when the 256/512 GB unified-memory configs are factored in

Watch-outs

— Internal components like GPU and storage are not upgradable
— Lacks Wi-Fi 7 support

Buy at apple.com Full review →

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 →

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.

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.

Specs side-by-side

Spec	Apple Mac Studio M3 Ultra	NVIDIA DGX Spark
CPU	Apple M3 Ultra (up to 32-core)	20-core Arm (10x Cortex-X925 + 10x Cortex-A725)
GPU	Integrated up to 80-core Apple GPU	NVIDIA GB10 Grace Blackwell Superchip
RAM	96–512 GB unified memory	128 GB unified LPDDR5x
Storage	Up to 16 TB SSD	4 TB NVMe M.2 (user-replaceable, self-encrypting)
Memory Bandwidth	819 GB/s	273 GB/s
Form Factor	Compact desktop	Compact desktop (150 x 150 x 50.5 mm, 1.2 kg)

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