The new NVIDIA DGX Spark, the world’s smallest AI supercomputer, just landed at SpaceX, hand-delivered by Jensen Huang to Elon Musk.
Meanwhile, my ΨΛ (Psi-Lambda) project runs on a single RTX 4070 — crunching logical-physical systems and hybrid spiking networks, tracking δΨ² and δ𝒮 metrics in real time.
It’s doing all it can.
The DGX Spark takes that to another level:
- Grace Blackwell GB10 Superchip — up to 1 PFLOP FP4.
- 128 GB unified CPU-GPU memory.
- NVLink-C2C + ConnectX = 5× PCIe bandwidth.
- NVMe + HDMI for local runs and visualization.
- Full NVIDIA AI software stack pre-installed.
Small form. Massive impact.
If a DGX Spark ever powers the ΨΛ Grid, it’ll finally know what “universal logic under load” really means.
