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Apple’s Mac Studio with M5 Ultra starts at $5,499 in the U.S.—the rounded $5,500 in this comparison’s headline. That is not a like-for-like price match with NVIDIA DGX Spark, whose observed listing price and availability have varied. Neither system is a universal local-AI speed winner: the practical choice depends first on whether your tools need NVIDIA’s software platform or fit your macOS and Apple-silicon workflow, then on the memory and storage your workload requires.

Choose by software stack and workload, not headline performance numbers

Mac Studio with M5 Ultra runs macOS on Apple silicon. DGX Spark combines NVIDIA’s GB10 Grace Blackwell Superchip with NVIDIA DGX OS. That platform distinction should lead the decision: confirm that the model-serving, development, and other AI tools you intend to use support your chosen system and run the features you need.

Then match the configuration to the task. Consider the model and workload, inference or fine-tuning, concurrency, context length, and required memory and storage. A system’s stated memory capacity alone does not establish how quickly it will run a particular model or whether your preferred software will work as expected.

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When Mac Studio is the more natural fit

Choose the Mac Studio if your work is built around macOS and Apple silicon, and its supported tools and configuration meet your AI and general desktop needs. Its M5 Ultra configuration offers up to 512 GB of unified memory, a ceiling that exceeds DGX Spark’s stated standard capacity. Apple says the 512 GB option is coming in late October 2026.

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When DGX Spark is the more natural fit

Choose DGX Spark if your workflow specifically depends on NVIDIA’s platform and the software stack that comes with it. NVIDIA lists 128 GB of coherent unified system memory for the standard configuration, with a 64 GB version available only through participating OEM partners. Confirm the exact configuration and tool support before treating either memory figure as a fit for your workload.

How the published specifications compare

Buyer question Mac Studio M5 Ultra NVIDIA DGX Spark
Platform Apple M5 Ultra; macOS desktop GB10 Grace Blackwell; NVIDIA DGX OS
CPU and GPU Configurable up to 36 CPU cores and 80 GPU cores 20-core Arm CPU; Blackwell GPU
System memory 96 GB base; configurable to 256 GB or 512 GB 128 GB standard; 64 GB option sold only through participating OEM partners
Published memory bandwidth 1.2 TB/s 273 GB/s
Published AI performance figure Apple claims up to 4.3× peak AI compute versus M3 Ultra NVIDIA claims up to 1 PFLOP FP4 tensor performance
Storage 1 TB base; configurable up to 16 TB Up to 4 TB NVMe M.2
Price information $5,499 U.S. starting price Dated Marketplace observations; no current price established

These figures describe different systems and do not amount to a shared performance test. Apple’s up-to-4.3× claim compares M5 Ultra with the previous-generation M3 Ultra, based on Apple testing conducted in July 2026. NVIDIA’s up-to-1-PFLOP figure is its published FP4 peak. The figures use different comparison bases and cannot establish which system is faster for a given model or workload. Memory bandwidth figures also do not, by themselves, predict end-to-end performance.

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What the $5,500 price does—and does not—buy

Apple announced the M5 Ultra Mac Studio on August 25, 2026. Apple’s September 22 availability update lists a U.S. starting price of $5,499 through Apple Stores and Apple Authorized Resellers. The starting price is not the price of every configuration: the system starts with 96 GB of memory and 1 TB of storage, and can be configured with more memory or storage. Apple lists storage options up to 16 TB; the 512 GB memory configuration is scheduled to arrive in late October 2026.

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DGX Spark pricing should be checked against the exact regional listing and configuration at the time of purchase. AI Compute Scout recorded a Marketplace observation of $4,699 for a 128 GB/4 TB listing on September 11, 2026; on September 29 it was out of stock with no displayed price; on October 4 it was still out of stock and displayed at $6,950. These dated observations are not a verified current offer, and the headline prices do not represent equivalent configurations.

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What is established about performance—and what is not

There is no substantiated, controlled head-to-head speed result here for Mac Studio M5 Ultra versus DGX Spark. AI Compute Scout describes its comparison as specification analysis and says it physically tested neither computer. Apple’s AI performance figure is a manufacturer comparison with M3 Ultra, not DGX Spark.

Tom’s Guide reported that its tested M5 Ultra Mac Studio ran cool and quiet during its own demanding gaming and video-rendering use. That is the reviewer’s experience under those workloads, not a controlled comparison with DGX Spark or a universal measurement of noise or temperature.

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  • This Mac Studio bag features comfortable handles and Shoulder Straps to carry safely while out working or traveling. The ultra-soft textile interior provides the ultimate protection for the Mac Studio.
  • The top mesh pocket provides convenient storage for Magic Keyboard, tablet, and other accessories, while the right of bottom design offers ample space for multiple models of mice, chargers, and more Mac Studio accessories.
  • Storage case size: 14.9 x 9 x 5.1 inches (38 × 23 × 13 cm).
  • Compatible with Apple 2026 Mac Studio M5 / M4 / M2 / M1 MAX, Apple Mac Studio M1 / M2 / M3 / M5 Ultra, GMKtec EVO-X2

For a meaningful performance decision, look for results using your intended model, precision, software versions, workload, concurrency, and context length on the exact configurations you are considering. Do not infer a winner from peak figures or memory bandwidth alone.

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A practical buying checklist

  • Verify software support: Check that your intended tools support the operating system and hardware platform, including any required NVIDIA-specific components.
  • Size memory for the workload: Compare the exact configuration with your model and workload needs; do not treat unified or coherent memory labels as proof of equivalent behavior.
  • Account for storage: Match the system’s available storage to your models, datasets, and other files rather than comparing base prices alone.
  • Compare current configured prices: For the Mac, price the memory and storage options you need. For DGX Spark, verify current regional stock and checkout price for the specific configuration.
  • Demand a relevant benchmark: Prefer a reproducible result using the same model, task, precision, and software stack you plan to use.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.