feat: add GPU-verified benchmarks to website

Updated with double-verified GPU results:
- RTX 3090: 298K tokens/s
- A100 80GB: 274K tokens/s
- Noise robustness: 70.2% at 30% corruption
- Power: 293W (A100) vs 348W (RTX 3090)

Added GPU verification badge to BenchmarksSection
Updated Hero with verified GPU stats
Updated EN/RU translations

Co-authored-by: Ona <no-reply@ona.com>

Author: gHashTag

website/messages/en.json

@@ -4,23 +4,23 @@
   "langHref": "?lang=ru",
   "nav": ["TRINITY", "Problem", "Solution", "Why Now", "Calculator", "Traction", "Market", "GTM", "Competition", "Roadmap", "Team", "Ecosystem", "Invest"],
   "hero": {
-    "tag": "Theorem-Backed Green AI Economy",
+    "tag": "GPU-Verified Green AI Economy",
     "headline": "φ² + 1/φ² = 3",
-    "subheadline": "4 Theorems + Verified Results = Proven Value",
-    "quote": "\"Not a claim — a theorem. Not a promise — a proof.\"",
-    "desc": "First AI platform with <strong>4 mathematical theorems</strong> + <strong>verified benchmarks</strong>: <strong>20×</strong> memory compression (CPU verified), <strong>up to 3000×</strong> energy efficiency (FPGA projected)",
+    "subheadline": "298K tokens/s on RTX 3090 | 274K on A100 | VERIFIED",
+    "quote": "\"Not a claim — a theorem. Not a promise — a proof. Not simulated — GPU verified.\"",
+    "desc": "First AI platform with <strong>4 mathematical theorems</strong> + <strong>GPU-verified benchmarks</strong>: <strong>298K tokens/s</strong> (RTX 3090), <strong>70% noise robustness</strong> at 30% corruption",
     "metrics": [
-      { "value": "15.7×", "label": "Compression", "proof": "Theorem 3 + ternary_quant_report" },
-      { "value": "8.1×", "label": "GPU Speedup", "proof": "Theorem 2 + GPU benchmarks" },
-      { "value": "100%", "label": "Noise Robustness", "proof": "Theorem 1 + hdc_double_q_report" }
+      { "value": "298K", "label": "Tokens/s (RTX 3090)", "proof": "RunPod GPU verified" },
+      { "value": "274K", "label": "Tokens/s (A100)", "proof": "RunPod GPU verified" },
+      { "value": "70%", "label": "Noise @30%", "proof": "Theorem 1 + GPU test" }
     ],
     "newResults": {
-      "title": "Latest Verified Results",
+      "title": "GPU-Verified Results (RunPod)",
       "items": [
-        { "value": "15.7×", "label": "HDC Compression", "source": "ternary_quant_report.md" },
-        { "value": "43%", "label": "Sparsity Bonus", "source": "ternary_quant_report.md" },
-        { "value": "100%", "label": "Noise Robustness @20% errors", "source": "hdc_double_q_report.md" },
-        { "value": "8.1×", "label": "SIMD Speedup", "source": "GPU benchmarks" }
+        { "value": "298K", "label": "RTX 3090 tokens/s", "source": "runpod_full_tests_report.md" },
+        { "value": "274K", "label": "A100 80GB tokens/s", "source": "e2e_repeat_report.md" },
+        { "value": "70.2%", "label": "Noise Robustness @30%", "source": "Both GPUs identical" },
+        { "value": "293W", "label": "A100 Power (vs 348W RTX)", "source": "nvidia-smi verified" }
       ]
     },
     "cta": "See the Proofs",
@@ -240,13 +240,21 @@
     ]
   },
   "benchmarks": {
-    "title": "Theorem-Backed <span class=\"grad\">Benchmarks</span>",
-    "sub": "✓ = Verified on CPU | * = Projected on GPU/FPGA. Current dev server: CPU-only baseline.",
+    "title": "GPU-Verified <span class=\"grad\">Benchmarks</span>",
+    "sub": "✓ = Verified on Real GPUs (RunPod) | RTX 3090 & A100 tested. No simulation.",
+    "gpuVerified": {
+      "badge": "🔥 VERIFIED ON REAL GPUs",
+      "note": "Benchmarks run on RunPod cloud GPUs, not simulated",
+      "gpus": [
+        { "name": "RTX 3090", "tokens": "298K", "noise": "70.2%", "power": "348W", "cost": "$0.10" },
+        { "name": "A100 80GB", "tokens": "274K", "noise": "70.2%", "power": "293W", "cost": "$0.20" }
+      ]
+    },
     "metrics": [
+      { "value": "298K", "label": "Tokens/sec (RTX 3090)", "desc": "Verified on RunPod GPU", "theorem": "GPU" },
       { "value": "20×", "label": "Memory Compression", "desc": "Theorem 3: 32-bit → 1.58-bit", "theorem": "3" },
-      { "value": "10×", "label": "Speed Boost", "desc": "Theorem 4: Optimal radix economy", "theorem": "4" },
-      { "value": "100%", "label": "Accuracy Preserved", "desc": "Theorem 1: Information optimality", "theorem": "1" },
-      { "value": "3000×", "label": "Energy Efficiency", "desc": "Projected on custom FPGA (verified: 20× on CPU)", "theorem": "2" }
+      { "value": "70%", "label": "Noise Robustness", "desc": "Accuracy at 30% trit corruption", "theorem": "1" },
+      { "value": "3000×", "label": "Energy Efficiency", "desc": "Projected on custom FPGA", "theorem": "2" }
     ],
     "comparison": {
       "headers": ["Platform", "Memory", "Speed", "Accuracy", "Energy", "Theorem Basis"],

website/messages/ru.json

@@ -183,13 +183,21 @@
     ]
   },
   "benchmarks": {
-    "title": "Бенчмарки <span class=\"grad\">с Теоремами</span>",
-    "sub": "✓ = Проверено на CPU | * = Проекция на GPU/FPGA. Текущий dev-сервер: только CPU.",
+    "title": "GPU-Верифицированные <span class=\"grad\">Бенчмарки</span>",
+    "sub": "✓ = Проверено на реальных GPU (RunPod) | RTX 3090 & A100 протестированы. Без симуляции.",
+    "gpuVerified": {
+      "badge": "🔥 ПРОВЕРЕНО НА РЕАЛЬНЫХ GPU",
+      "note": "Бенчмарки запущены на облачных GPU RunPod, не симуляция",
+      "gpus": [
+        { "name": "RTX 3090", "tokens": "298K", "noise": "70.2%", "power": "348W", "cost": "$0.10" },
+        { "name": "A100 80GB", "tokens": "274K", "noise": "70.2%", "power": "293W", "cost": "$0.20" }
+      ]
+    },
     "metrics": [
+      { "value": "298K", "label": "Токенов/сек (RTX 3090)", "desc": "Проверено на RunPod GPU", "theorem": "GPU" },
       { "value": "20×", "label": "Сжатие Памяти", "desc": "Теорема 3: 32-бит → 1.58-бит", "theorem": "3" },
-      { "value": "10×", "label": "Ускорение", "desc": "Теорема 4: Оптимальная экономия основания", "theorem": "4" },
-      { "value": "100%", "label": "Точность Сохранена", "desc": "Теорема 1: Информационная оптимальность", "theorem": "1" },
-      { "value": "3000×", "label": "Энергоэффективность", "desc": "Проекция на FPGA (проверено: 20× на CPU)", "theorem": "2" }
+      { "value": "70%", "label": "Устойчивость к Шуму", "desc": "Точность при 30% повреждении тритов", "theorem": "1" },
+      { "value": "3000×", "label": "Энергоэффективность", "desc": "Проекция на FPGA", "theorem": "2" }
     ],
     "comparison": {
       "rows": [

website/src/components/sections/BenchmarksSection.tsx

@@ -82,6 +82,64 @@ export default function BenchmarksSection() {
         <p>{b.sub}</p>
       </div>
 
+      {/* GPU Verification Badge */}
+      {b.gpuVerified && (
+        <motion.div 
+          className="fade"
+          initial={{ opacity: 0, y: 20 }}
+          whileInView={{ opacity: 1, y: 0 }}
+          transition={{ duration: 0.5 }}
+          viewport={{ once: true }}
+          style={{
+            background: 'linear-gradient(135deg, rgba(0, 229, 153, 0.1), rgba(0, 179, 119, 0.05))',
+            border: '1px solid var(--accent)',
+            borderRadius: '12px',
+            padding: '1.5rem',
+            marginTop: '2rem',
+            marginBottom: '2rem',
+            maxWidth: '800px',
+            margin: '2rem auto'
+          }}
+        >
+          <div style={{ textAlign: 'center', marginBottom: '1rem' }}>
+            <span style={{ 
+              background: 'var(--accent)', 
+              color: '#000', 
+              padding: '0.3rem 1rem', 
+              borderRadius: '20px',
+              fontSize: '0.85rem',
+              fontWeight: 600
+            }}>
+              {b.gpuVerified.badge}
+            </span>
+          </div>
+          <p style={{ textAlign: 'center', color: 'var(--muted)', fontSize: '0.85rem', marginBottom: '1rem' }}>
+            {b.gpuVerified.note}
+          </p>
+          <div style={{ 
+            display: 'grid', 
+            gridTemplateColumns: 'repeat(auto-fit, minmax(150px, 1fr))', 
+            gap: '1rem' 
+          }}>
+            {b.gpuVerified.gpus?.map((gpu: { name: string; tokens: string; noise: string; power: string }, i: number) => (
+              <div key={i} style={{ 
+                background: 'rgba(0, 0, 0, 0.3)', 
+                padding: '1rem', 
+                borderRadius: '8px',
+                textAlign: 'center'
+              }}>
+                <div style={{ fontWeight: 600, color: 'var(--accent)', marginBottom: '0.5rem' }}>{gpu.name}</div>
+                <div style={{ fontSize: '1.5rem', fontWeight: 700, color: 'var(--text)' }}>{gpu.tokens}</div>
+                <div style={{ fontSize: '0.75rem', color: 'var(--muted)' }}>tokens/s</div>
+                <div style={{ fontSize: '0.8rem', color: 'var(--muted)', marginTop: '0.5rem' }}>
+                  Noise: {gpu.noise} | {gpu.power}
+                </div>
+              </div>
+            ))}
+          </div>
+        </motion.div>
+      )}
+      
       <div className="fade" style={{ 
         marginTop: '3rem', 
         marginBottom: '4rem',