What This Is

This week on Reddit's r/LocalLLaMA, a post requested hardware builds in the £6,000-7,000 range (roughly ¥55,000-73,000) for running DeepSeek and Qwen series models locally as coding assistants. The poster's specs were explicit: 64GB VRAM and adequate tok/s (tokens per second — the speed at which the model generates output).

A regular user willing to spend ¥70,000 on a "private AI workstation" is a signal worth underlining — local inference (running models on your own machine, without the internet) is becoming a new "procurement category," no longer just an enthusiast toy.

Industry View

Running models locally used to be the geek crowd entertaining itself; now it's serious procurement because open-source models like DeepSeek and Qwen are genuinely competitive on coding tasks, and API pricing from OpenAI and Anthropic isn't cheap.

But the counterargument holds: a ¥70,000 machine sees GPU depreciation of 30-40% per year, plus hidden costs in electricity, model updates, and driver compatibility. More critically — local setups have no support, no SLA (service-level commitment), and who watches the security patches? We've seen plenty of enterprises buy GPUs enthusiastically, only to discover three months later that ops can't handle the load.

The judgment worth tracking: local AI isn't a replacement for the cloud — it's the "second leg" alongside it. Whoever can balance the books without sacrificing compliance holds the entry ticket.

Impact on Regular People

  • For enterprise IT: Companies with sensitive customer data or confidential domain knowledge should seriously evaluate a hybrid "local inference + cloud API" setup — it no longer has to be either-or.
  • For working professionals: Developers can watch and wait, but the time cost of ¥70,000 hardware plus electricity plus maintenance should be weighed against Cursor or GitHub Copilot subscriptions — the cloud may not be more expensive.
  • For consumer markets: Mass adoption won't arrive soon, but system builders may carve out a dedicated "AI workstation" category, similar to how "gaming laptops" once spun off as their own segment.