---
license: other
title: RFT Adaptive Computing Kernel
sdk: gradio
emoji: 🚀
colorFrom: yellow
colorTo: pink
short_description: Adaptive RFT kernel computing stability and coherence metric
sdk_version: 5.49.1
---
# 🧠 RFT Adaptive Computing Kernel (v1.0)

The **Rendered Frame Theory (RFT) Adaptive Computing Kernel** simulates harmonic stability and coherence across CPU, GPU, and TPU environments.  
It benchmarks computational self-stabilisation under varying workloads and randomised system noise, providing a verified proof log for every run.

---

## ⚙️ How It Works
Each simulation dynamically generates:
- **QΩ (Stability Metric):** Reflects harmonic equilibrium of compute operations.  
- **ζ_sync (Coherence Metric):** Measures synchronization under fluctuating workloads.  
- **rate_items_per_sec:** Estimated throughput (adaptive, noise-adjusted).  
- **SHA-512 Sealed Log:** Each run produces a cryptographically signed verification record.

---

## 🧩 Parameters
| Parameter | Description |
|------------|--------------|
| **Compute Profile** | CPU, GPU, or TPU mode |
| **Workload Type** | Matrix, Transformer, or Mixed |
| **Cycles** | Number of operational iterations |
| **Seed** | Random seed for reproducibility |

---

## 📊 Output Example
```json
{
  "profile": "GPU",
  "workload": "transformer",
  "cycles": 5,
  "rate_items_per_sec": 8.12e+08,
  "QΩ": 0.841,
  "ζ_sync": 0.792,
  "status": "nominal",
  "timestamp_utc": "2025-10-29T15:02:14Z",
  "sha512": "..."
}