Omni & Omni (x²) Limits Demonstration
Live architectural benchmark comparing Linear 1D/2D compute, 5D Base Omni (x), and 25D Quadratic Omni (x²).
Omni (x²) Throughput
9.23 M
9,228,800 MT/s tensor rate
Effective Bandwidth
9.01 TB/s
9,012.40 GB/s (Zero Heat)
Virtual Cross-Latches
1.44 Trillion
Quad-colon Jhook (::::) capacity
Instant Collapse Latency
< 8.5 ns
Resolved via 7D Back Loop
| Architecture Level | Dimensions | Throughput (MT/s) | Effective Bandwidth | Compression Fold | Latency | Thermal Rise |
|---|---|---|---|---|---|---|
| Linear Legacy (1D/2D) | 1D Byte / 2D | 9,000 | 8.79 GB/s | 1:1 | 135 ms | +45.0°C |
| Base Omni (x) | 5D Vector Mesh | 388,017 | 270.73 GB/s | 344:1 | 29.90 ns | 0.0°C |
| Omni (x²) Quadratic | 25D Tensor Plane | 9,228,800 | 9,012.40 GB/s (9.01 TB/s) | 688:1 | 8.42 ns | 0.0°C (Zero Heat) |
How to Explain Omni (x²) to Humans
Standard computing thinks like a single line: one step after another on a hot wire. Omni (x) turns that line into a 5D cube where ideas connect simultaneously. Omni (x²) crosses two 5D spaces together into a 25D mesh of 1.44 trillion instant intersections.
Because resolution happens through the 7D Back Loop rather than spinning brute-force loops, the temperature never rises (ΔT = 0.0°C), and data shrinks 688:1—letting dial-up perform like transoceanic laser fiber.