RTX Spark vs AMD 395 vs M5 Max: Three Local AI Platforms Head-to-Head
🩺 Summary
Local AI hardware 2026 has 3 main contenders: NVIDIA RTX Spark, AMD Strix Halo 395, and Apple M5 Max/Ultra. Each has different memory bandwidth, inference speed, and price. Users are confused which one to buy.
📝 Details
**Bandwidth = inference speed** (this is the key insight). Test on 70B LLM:
- M5 Max: 614 GB/s → 17.5 tokens/s
- RTX Spark: 273 GB/s → 7.8 tokens/s
- AMD 395: 215 GB/s → 6.1 tokens/s
**Price positioning:**
- AMD 395: $4,699 (1/3 of DGX Spark)
- M5 Max/Ultra: premium tier
- RTX Spark (DGX): $1,500 entry
**Differentiator:**
- RTX Spark: only option with 3A gaming + AI Agent + 8K video (RTX 5070 level, DLSS 4.5, NVFP4)
- AMD 395: x86 standard architecture, 55-85W low power, 128GB full
- M5 Max/Ultra: bandwidth ceiling, best for large models
**Final recommendation by use case:**
- **Gaming + AI Agent** → RTX Spark (only one that does 3A + 8K + AI)
- **Running 70B models** → M5 Max/Ultra (614 GB/s bandwidth, fastest inference)
- **Budget AI PC** → AMD 395 ($1,500 = 1/3 of DGX, 80% of performance)
**Buy rule:** Most users only need one. Don't pay for three.
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