I Built a CUDA Engine That Streams 744B Parameter AI Models on Consumer Hardware
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WISP — Stream What Shouldn't Run Last week JustVugg dropped Colibrì — a 2,400-line pure C engine that proved a 744B parameter model could run on 25GB of consumer RAM by streaming expert weights from disk. It blew my mind. So I built on top of that concept. This is WISP. The Problem The largest open source AI models in the world — GLM-5.2 (744B), DeepSeek-V3 (671B), Kimi K3 (2.8T) — require datacenter hardware to run. Most people trying to run them locally hit a wall immediately. The standard…
1Key Takeaways
- WISP — Stream What Shouldn't Run Last week JustVugg dropped Colibrì — a 2,400-line pure C engine that proved a 744B parameter model could run on 25GB of consumer RAM by streaming expert weights from disk.
- The Problem The largest open source AI models in the world — GLM-5.2 (744B), DeepSeek-V3 (671B), Kimi K3 (2.8T) — require datacenter hardware to run.
- Most people trying to run them locally hit a wall immediately.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that wISP — Stream What Shouldn't Run Last week JustVugg dropped Colibrì — a 2,400-line pure C engine that proved a 744B parameter model could run on 25GB of consumer RAM by streaming expert weights from disk.
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