Head-to-Head
Samsung SSD 9100 PRO 2TB PCIe 5.0 NVMe vs Synology DiskStation DS925+
Samsung SSD 9100 PRO 2TB PCIe 5.0 NVMe
Samsung · accessory
Winner for LLMs
Winner for Stable Diffusion
TieWinner for Power Efficiency
TieOverall Winner
TieSamsung SSD 9100 PRO 2TB PCIe 5.0 NVMe leads in memory bandwidth (0 GB/s vs 0 GB/s), making it faster for LLM token generation. Synology DiskStation DS925+ has — memory (4 GB vs 0 GB).
Spec Comparison
Performance Verdicts
Winner for LLM Inference
DiskStation DS925+ winsSynology DiskStation DS925+ edges ahead with 4 GB vs 0 GB — enough headroom to run larger quantized models without offloading. Synology DiskStation DS925+'s 0 GB/s bandwidth also generates tokens faster.
Winner for Stable Diffusion / Image Generation
tieNeither is optimised for image generation, but Synology DiskStation DS925+'s 0 GB/s bandwidth makes generation faster. Both run SDXL via Metal (macOS) or ROCm (Linux). Expect slower generation times than a discrete GPU.
Winner for Power Efficiency
tieBoth draw around 999W at peak load.
Overall Winner
tieBoth products are closely matched. Your choice should come down to price, ecosystem preference, and the specific models you plan to run.
Who Should Buy Which?
Buy the 5.0 NVMe if…
Buy the Samsung SSD 9100 PRO 2TB PCIe 5.0 NVMe if LLM inference speed is your priority — its 0 GB/s bandwidth delivers faster token generation. Also choose it for Samsung ecosystem or macOS advantages.
Buy the DiskStation DS925+ if…
Buy the Synology DiskStation DS925+ if budget is your primary constraint or if you need 4 GB of memory at a lower price point. Good for 7B–13B model inference.
Related Comparisons
Frequently Asked Questions
Q1Which runs Ollama faster — Samsung SSD 9100 PRO 2TB PCIe 5.0 NVMe or Synology DiskStation DS925+?
Samsung SSD 9100 PRO 2TB PCIe 5.0 NVMe runs Ollama faster. Its 0 GB/s memory bandwidth vs 0 GB/s means faster token generation — roughly — more tokens/second on the same model. On Llama 3.1 8B, expect around 0 tok/s vs 0 tok/s.
Q2Can either mini PC run Llama 3 70B?
Neither mini PC has enough memory for Llama 3 70B without heavy CPU offloading (39 GB required at Q4_K_M). You would need a Mac Mini M4 Pro with 64 GB unified memory or a discrete GPU with 24 GB VRAM paired with ample system RAM.
Q3Which is better value for local AI in 2026?
Samsung SSD 9100 PRO 2TB PCIe 5.0 NVMe offers better performance-per-dollar for AI workloads due to its 0 GB/s bandwidth advantage. However, if price is the primary concern and 7B–13B inference is the goal, both get the job done — the gap matters more at higher workloads and model sizes.
Q4Which has better software support for local AI?
Both run Ollama well. AMD-based mini PCs offer ROCm acceleration on Linux; Intel-based ones are adding OpenVINO support. macOS Apple Silicon has the most polished Ollama experience.
Full Reviews
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