Apple Mac Studio M2 Ultra (192GB) vs NVIDIA DGX Spark for Local AI: LLM, Image and Video Benchmarks
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Decision Summary
💾 Most VRAM: Apple Mac Studio M2 Ultra (192GB)
💰 Lowest Price: NVIDIA DGX Spark
🔌 Lowest Power: Apple Mac Studio M2 Ultra (192GB)
Apple Mac Studio M2 Ultra (192GB)
Not recommended for LLMs
Insufficient memory for most LLM workloads.
Memory fitVery limited model selection
SoftwareEasy for MLX/Ollama; limited for some Linux-only tools
Build req.—
Value—
✓ Buy if• Mac users wanting unified memory for large models via MLX
✕ Avoid if• Anyone needing 70B model inference or video generation
• Those wanting comfortable Flux or fine-tuning capability
• Budget-conscious buyers — high cost per GB of VRAM
• Those wanting comfortable Flux or fine-tuning capability
• Budget-conscious buyers — high cost per GB of VRAM
↔ Alternatives
Cheaper: NVIDIA DGX Spark
NVIDIA DGX Spark
Not recommended for LLMs
Insufficient memory for most LLM workloads.
Memory fitVery limited model selection
SoftwareEasy — CUDA ecosystem, everything works out of the box
Build req.—
Value—
✓ Buy if• Users wanting maximum software compatibility (CUDA, PyTorch, vLLM, ComfyUI)
✕ Avoid if• Anyone needing 70B model inference or video generation
• Those wanting comfortable Flux or fine-tuning capability
• Budget-conscious buyers — high cost per GB of VRAM
• Those wanting comfortable Flux or fine-tuning capability
• Budget-conscious buyers — high cost per GB of VRAM
Full Specifications
💾
Memory & Model Capacity
1 specs
| Specification | Apple Mac Studio M2 Ultra (192GB) | NVIDIA DGX Spark |
|---|---|---|
| Unified Memory Gb | 192 ✓ | 128 |
🔧
Software Compatibility
2 specs
| Specification | Apple Mac Studio M2 Ultra (192GB) | NVIDIA DGX Spark |
|---|---|---|
| Cuda Support | No | Yes |
| Rocm Support | No | No |
🔌
Power, Cooling & Physical
1 specs
| Specification | Apple Mac Studio M2 Ultra (192GB) | NVIDIA DGX Spark |
|---|---|---|
| Form Factor | compact desktop | compact desktop |
📋
General Specifications
1 specs
| Specification | Apple Mac Studio M2 Ultra (192GB) | NVIDIA DGX Spark |
|---|---|---|
| Release Year | 2023 | 2025 ✓ |
AI Inference Benchmarks
Tokens per second (higher is better). Benchmark configurations may vary — see methodology.
Sources: www.reddit.com
| Model | Apple Mac Studio M2 Ultra (192GB) | NVIDIA DGX Spark |
|---|---|---|
| DeepSeek-V4-Flash (0731) EST | — | 25 t/s |
📋 Methodology & Data Quality
Last reviewed: Oct 30, 2026
Scoring version: 1.0.0
Data sources: Manufacturer specifications, community benchmarks (llama.cpp, Ollama, vLLM), MLPerf, Tom's Hardware, Reddit r/LocalLLaMA.
Estimates: Clearly labeled as Estimated or Calculated where used. No fabricated benchmarks.
Limitations: Benchmark configurations vary by source. Normalization is documented in our methodology page.