Head-to-Head
CalDigit TS4 Thunderbolt 4 Dock vs Synology DiskStation DS925+
CalDigit TS4 Thunderbolt 4 Dock
CalDigit · dock
Winner for LLMs
Winner for Stable Diffusion
TieWinner for Power Efficiency
TieOverall Winner
CalDigit TS4 Thunderbolt 4 Dock 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
DiskStation DS925+ winsSynology DiskStation DS925+ 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 4 Dock if…
Buy the CalDigit TS4 Thunderbolt 4 Dock if LLM inference speed is your priority — its 0 GB/s bandwidth delivers faster token generation. Also choose it for CalDigit 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 — CalDigit TS4 Thunderbolt 4 Dock or Synology DiskStation DS925+?
CalDigit TS4 Thunderbolt 4 Dock 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?
CalDigit TS4 Thunderbolt 4 Dock 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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