"It just doesn’t math." I keep seeing this take. But why run AI on your own hardware? Because for many of us, the cloud just doesn’t math either. Personally, I replaced all my Claude + Codex usage with DeepSeek-v4-Flash running locally on two DGX Sparks. For reference: $8,000 spent on the Claude Sonnet API would currently buy you roughly 800 million output tokens — about 5 months of continuous generation at 60 tokens/sec. The "It just doesn't math" claim: "For $8000 + electricity you could get over 4 years of Claude Max $200/mo sub plans, which would give you more Sonnet usage than your local setup." Who says Claude Max stays at $200/mo? They’re literally losing money on every sub right now — this price won’t last. They also nerf the limits constantly, & you’re STILL rate-limited even on the top tier. I know you can’t run actual Sonnet locally. That’s not the point. The point is: for my workflows, the local models I can run are good enough to fully replace it. A lot of people (including me) simply prefer not to send work through certain cloud providers, whether for privacy, trust, or other reasons. So the real question is: if the hardware can replace what you’re already paying for in API costs, is $8k justifiable? For me, it absolutely is. Plus… you actually own it. You don’t like owning things?