Head-to-Head
be quiet! Pure Power 13 M 1000W ATX 3.1 PSU vs Samsung 990 PRO Heatsink SSD 4TB NVMe M.2
be quiet! Pure Power 13 M 1000W ATX 3.1 PSU
be quiet! · accessory
Samsung 990 PRO Heatsink SSD 4TB NVMe M.2
Samsung · accessory
Winner for LLMs
TieWinner for Stable Diffusion
TieWinner for Power Efficiency
Overall Winner
be quiet! Pure Power 13 M 1000W ATX 3.1 PSU leads in memory bandwidth (0 GB/s vs 0 GB/s), making it faster for LLM token generation. be quiet! Pure Power 13 M 1000W ATX 3.1 PSU has — memory (0 GB vs 0 GB).
Spec Comparison
Performance Verdicts
Winner for LLM Inference
tieBoth have 0 GB memory, so bandwidth decides. Samsung 990 PRO Heatsink SSD 4TB NVMe M.2's 0 GB/s vs 0 GB/s translates directly to more tokens per second at equivalent model sizes.
Winner for Stable Diffusion / Image Generation
tieNeither is optimised for image generation, but Samsung 990 PRO Heatsink SSD 4TB NVMe M.2'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
NVMe M.2 winsSamsung 990 PRO Heatsink SSD 4TB NVMe M.2 draws 999W at peak vs 1000W — a 1W difference. Running AI workloads 12 hours/day, that's roughly 4 kWh saved per year. For always-on inference, Samsung 990 PRO Heatsink SSD 4TB NVMe M.2 has meaningfully lower operating costs.
Overall Winner
NVMe M.2 winsSamsung 990 PRO Heatsink SSD 4TB NVMe M.2 edges ahead overall — better memory, bandwidth, and user ratings for local AI workloads. The gap is real but not always worth the price difference; assess based on your primary use case.
Who Should Buy Which?
Buy the 3.1 PSU if…
Buy the be quiet! Pure Power 13 M 1000W ATX 3.1 PSU if LLM inference speed is your priority — its 0 GB/s bandwidth delivers faster token generation. Also choose it for be quiet! ecosystem or macOS advantages.
Buy the NVMe M.2 if…
Buy the Samsung 990 PRO Heatsink SSD 4TB NVMe M.2 if budget is your primary constraint or if you need 0 GB of memory at a lower price point. Good for 7B–13B model inference.
Related Comparisons
Frequently Asked Questions
Q1Which runs Ollama faster — be quiet! Pure Power 13 M 1000W ATX 3.1 PSU or Samsung 990 PRO Heatsink SSD 4TB NVMe M.2?
be quiet! Pure Power 13 M 1000W ATX 3.1 PSU 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?
be quiet! Pure Power 13 M 1000W ATX 3.1 PSU 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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