Jux-969 Here

If “jux-969” is:

All devices expose a via a coherent interconnect (e.g., CXL 2.0) that Jux‑969 abstracts as “Jux‑Memory” . jux-969

| Benchmark | Setup | Latency (ms) | Energy (J) | Speed‑up vs. Baseline | |-----------|-------|--------------|------------|----------------------| | | 1×GPU + 1×FPGA (Jux‑969) vs. GPU‑only | 4.2 → 2.6 | 1.8 → 1.4 | 1.62× | | Streaming FFT (64 k‑point) | 2×FPGA (reconfigurable) vs. CPU (8‑core) | 12.3 → 5.9 | 3.5 → 2.0 | 2.08× | | Spiking‑NN Inference (Loihi‑2) | Neuromorphic + GPU fusion vs. GPU only | 0.98 → 0.71 | 0.4 → 0.28 | 1.38× | | Hybrid CFD‑QAOA Simulation | GPU + Quantum‑annealer vs. GPU‑only | 78.5 → 52.3 | 115 → 85 | 1.5× | If “jux-969” is: All devices expose a via

Across the board, the contributed 15‑30 % of the performance gain by proactively reallocating resources before bottlenecks manifested. GPU‑only | 4