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rtx-5080-ti-emulator

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PrinzPesia commited on 12 days ago

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9e13a89

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README.md +7 -5
index.html +500 -19
prompts.txt +1 -0

README.md CHANGED Viewed

@@ -1,10 +1,12 @@
 ---
-title: Rtx 5080 Ti Emulator
-emoji: ⚡
-colorFrom: red
-colorTo: indigo
 sdk: static
 pinned: false
 ---
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

 ---
+title: rtx-5080-ti-emulator
+emoji: 🐳
+colorFrom: gray
+colorTo: yellow
 sdk: static
 pinned: false
+tags:
+  - deepsite
 ---
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

index.html CHANGED Viewed

@@ -1,19 +1,500 @@
-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
-</html>

+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>NVIDIA RTX 5080 Ti Emulator</title>
+    <script src="https://cdn.tailwindcss.com"></script>
+    <script src="https://kit.fontawesome.com/a076d05399.js" crossorigin="anonymous"></script>
+    <style>
+        @keyframes pulse {
+            0% { opacity: 0.6; }
+            50% { opacity: 1; }
+            100% { opacity: 0.6; }
+        }
+        @keyframes coreActivity {
+            0% { background-color: #00ff00; }
+            50% { background-color: #76ff03; }
+            100% { background-color: #00ff00; }
+        }
+        @keyframes tensorActivity {
+            0% { background-color: #ff4081; }
+            50% { background-color: #ff80ab; }
+            100% { background-color: #ff4081; }
+        }
+        @keyframes rtActivity {
+            0% { background-color: #40c4ff; }
+            50% { background-color: #80d8ff; }
+            100% { background-color: #40c4ff; }
+        }
+        .core-active {
+            animation: coreActivity 0.5s infinite;
+        }
+        .tensor-active {
+            animation: tensorActivity 0.3s infinite;
+        }
+        .rt-active {
+            animation: rtActivity 0.4s infinite;
+        }
+        .status-pulse {
+            animation: pulse 2s infinite;
+        }
+        .gpu-visualization {
+            background: linear-gradient(135deg, #121212 0%, #1a1a1a 100%);
+            border-radius: 12px;
+            box-shadow: 0 10px 25px rgba(0, 0, 0, 0.5);
+        }
+        .performance-meter {
+            background: linear-gradient(to right, #00c853, #ffd600, #ff3d00);
+        }
+        .vram-bar {
+            background: linear-gradient(to right, #5c6bc0, #3949ab);
+        }
+        .cooling-fan {
+            transition: transform 0.1s linear;
+        }
+    </style>
+</head>
+<body class="bg-gray-900 text-gray-100 min-h-screen">
+    <div class="container mx-auto px-4 py-8">
+        <!-- Header -->
+        <header class="flex items-center justify-between mb-8">
+            <div class="flex items-center">
+                <div class="w-12 h-12 bg-green-500 rounded-full flex items-center justify-center mr-4">
+                    <i class="fas fa-microchip text-white text-xl"></i>
+                </div>
+                <h1 class="text-3xl font-bold bg-gradient-to-r from-green-400 to-blue-500 bg-clip-text text-transparent">
+                    NVIDIA RTX 5080 Ti Emulator
+                </h1>
+            </div>
+            <div class="flex items-center space-x-2">
+                <span class="px-3 py-1 bg-gray-800 rounded-full text-sm font-medium flex items-center">
+                    <span class="w-2 h-2 rounded-full bg-green-500 mr-2"></span>
+                    <span>EMULATION ACTIVE</span>
+                </span>
+                <button class="px-4 py-2 bg-red-600 hover:bg-red-700 rounded-lg font-medium transition">
+                    <i class="fas fa-power-off mr-2"></i>Stop Emulation
+                </button>
+            </div>
+        </header>
+        <!-- Main Dashboard -->
+        <div class="grid grid-cols-1 lg:grid-cols-3 gap-6 mb-8">
+            <!-- GPU Visualization -->
+            <div class="gpu-visualization lg:col-span-2 p-6">
+                <div class="flex justify-between items-center mb-6">
+                    <h2 class="text-xl font-semibold">RTX 5080 Ti Core Simulation</h2>
+                    <div class="flex items-center">
+                        <span class="text-sm mr-4">DLSS 4.0: <span class="font-bold text-green-400">ACTIVE</span></span>
+                        <span class="text-sm">Ray Tracing: <span class="font-bold text-blue-400">GEN4</span></span>
+                    </div>
+                </div>
+                <!-- Core Visualization -->
+                <div class="grid grid-cols-12 gap-2 mb-6">
+                    <!-- CUDA Cores -->
+                    <div class="col-span-8">
+                        <div class="flex justify-between mb-2">
+                            <span class="text-sm font-medium">15,360 CUDA Cores</span>
+                            <span class="text-sm">Utilization: <span id="cuda-util">78</span>%</span>
+                        </div>
+                        <div class="grid grid-cols-16 gap-1">
+                            <!-- This will be filled with JS -->
+                        </div>
+                    </div>
+                    <!-- RT Cores -->
+                    <div class="col-span-2">
+                        <div class="flex justify-between mb-2">
+                            <span class="text-sm font-medium">RT Cores</span>
+                            <span class="text-sm"><span id="rt-util">65</span>%</span>
+                        </div>
+                        <div class="grid grid-cols-2 gap-1">
+                            <!-- This will be filled with JS -->
+                        </div>
+                    </div>
+                    <!-- Tensor Cores -->
+                    <div class="col-span-2">
+                        <div class="flex justify-between mb-2">
+                            <span class="text-sm font-medium">Tensor Cores</span>
+                            <span class="text-sm"><span id="tensor-util">82</span>%</span>
+                        </div>
+                        <div class="grid grid-cols-2 gap-1">
+                            <!-- This will be filled with JS -->
+                        </div>
+                    </div>
+                </div>
+                <!-- Cooling System -->
+                <div class="flex items-center justify-between bg-gray-800 rounded-lg p-4">
+                    <div class="flex items-center">
+                        <div class="cooling-fan mr-4" id="fan1">
+                            <i class="fas fa-fan text-blue-400 text-2xl"></i>
+                        </div>
+                        <div>
+                            <div class="flex items-center mb-1">
+                                <span class="text-sm font-medium mr-2">GPU Temp:</span>
+                                <span class="text-green-400 font-medium" id="gpu-temp">64</span>
+                                <span class="text-gray-400 ml-1">°C</span>
+                            </div>
+                            <div class="w-full bg-gray-700 rounded-full h-1.5">
+                                <div class="bg-gradient-to-r from-green-400 to-yellow-500 h-1.5 rounded-full" style="width: 64%"></div>
+                            </div>
+                        </div>
+                    </div>
+                    <div class="text-right">
+                        <div class="text-sm font-medium mb-1">Power Draw</div>
+                        <div class="text-xl font-bold text-yellow-400" id="power-draw">320</div>
+                        <div class="text-xs text-gray-400">Watts</div>
+                    </div>
+                </div>
+            </div>
+            <!-- Performance Stats -->
+            <div class="bg-gray-800 rounded-lg p-6">
+                <h2 class="text-xl font-semibold mb-6">Performance Metrics</h2>
+                <div class="space-y-5">
+                    <div>
+                        <div class="flex justify-between mb-1">
+                            <span class="text-sm font-medium">FP32 Performance</span>
+                            <span class="text-sm font-bold text-green-400" id="fp32-perf">68.4</span>
+                        </div>
+                        <div class="performance-meter w-full h-2 rounded-full overflow-hidden">
+                            <div class="h-full" style="width: 90%"></div>
+                        </div>
+                        <div class="text-xs text-gray-400 mt-1">TFLOPS (Estimated: 60-70 TFLOPS)</div>
+                    </div>
+                    <div>
+                        <div class="flex justify-between mb-1">
+                            <span class="text-sm font-medium">VRAM Allocation</span>
+                            <span class="text-sm font-bold text-blue-400" id="vram-usage">18.2</span>
+                        </div>
+                        <div class="vram-bar w-full h-2 rounded-full overflow-hidden">
+                            <div class="h-full" style="width: 76%"></div>
+                        </div>
+                        <div class="text-xs text-gray-400 mt-1">24GB GDDR7 (Using System RAM)</div>
+                    </div>
+                    <div>
+                        <div class="flex justify-between mb-1">
+                            <span class="text-sm font-medium">Memory Bandwidth</span>
+                            <span class="text-sm font-bold text-purple-400" id="mem-bandwidth">896</span>
+                        </div>
+                        <div class="w-full bg-gray-700 rounded-full h-2">
+                            <div class="bg-gradient-to-r from-purple-400 to-pink-500 h-2 rounded-full" style="width: 85%"></div>
+                        </div>
+                        <div class="text-xs text-gray-400 mt-1">320-bit interface @ 28Gbps</div>
+                    </div>
+                    <div class="pt-4 border-t border-gray-700">
+                        <div class="text-sm font-medium mb-2">Current Features</div>
+                        <div class="space-y-2">
+                            <div class="flex items-center">
+                                <div class="w-4 h-4 rounded-full bg-blue-500 mr-2"></div>
+                                <span class="text-sm">Gen 4 Ray Tracing</span>
+                            </div>
+                            <div class="flex items-center">
+                                <div class="w-4 h-4 rounded-full bg-pink-500 mr-2"></div>
+                                <span class="text-sm">Gen 5 Tensor Cores</span>
+                            </div>
+                            <div class="flex items-center">
+                                <div class="w-4 h-4 rounded-full bg-green-500 mr-2"></div>
+                                <span class="text-sm">DLSS 4.0 AI</span>
+                            </div>
+                            <div class="flex items-center">
+                                <div class="w-4 h-4 rounded-full bg-yellow-500 mr-2"></div>
+                                <span class="text-sm">NVLink 4.0 Support</span>
+                            </div>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </div>
+        <!-- Advanced Controls -->
+        <div class="bg-gray-800 rounded-lg p-6 mb-8">
+            <h2 class="text-xl font-semibold mb-6">Emulation Controls</h2>
+            <div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-4">
+                <div class="bg-gray-700 rounded-lg p-4">
+                    <div class="flex items-center justify-between mb-3">
+                        <span class="font-medium">CUDA Core Load</span>
+                        <span class="text-green-400 font-bold" id="cuda-slider-value">78%</span>
+                    </div>
+                    <input type="range" min="10" max="100" value="78" class="w-full h-2 bg-gray-600 rounded-lg appearance-none cursor-pointer" id="cuda-slider">
+                </div>
+                <div class="bg-gray-700 rounded-lg p-4">
+                    <div class="flex items-center justify-between mb-3">
+                        <span class="font-medium">RT Core Load</span>
+                        <span class="text-blue-400 font-bold" id="rt-slider-value">65%</span>
+                    </div>
+                    <input type="range" min="10" max="100" value="65" class="w-full h-2 bg-gray-600 rounded-lg appearance-none cursor-pointer" id="rt-slider">
+                </div>
+                <div class="bg-gray-700 rounded-lg p-4">
+                    <div class="flex items-center justify-between mb-3">
+                        <span class="font-medium">Tensor Core Load</span>
+                        <span class="text-pink-400 font-bold" id="tensor-slider-value">82%</span>
+                    </div>
+                    <input type="range" min="10" max="100" value="82" class="w-full h-2 bg-gray-600 rounded-lg appearance-none cursor-pointer" id="tensor-slider">
+                </div>
+                <div class="bg-gray-700 rounded-lg p-4">
+                    <div class="flex items-center justify-between mb-3">
+                        <span class="font-medium">VRAM Allocation</span>
+                        <span class="text-blue-300 font-bold" id="vram-slider-value">18.2GB</span>
+                    </div>
+                    <input type="range" min="1" max="24" step="0.1" value="18.2" class="w-full h-2 bg-gray-600 rounded-lg appearance-none cursor-pointer" id="vram-slider">
+                </div>
+            </div>
+            <div class="mt-6 flex flex-wrap gap-3">
+                <button class="px-4 py-2 bg-blue-600 hover:bg-blue-700 rounded-lg font-medium transition flex items-center">
+                    <i class="fas fa-rocket mr-2"></i> Boost Performance
+                </button>
+                <button class="px-4 py-2 bg-purple-600 hover:bg-purple-700 rounded-lg font-medium transition flex items-center">
+                    <i class="fas fa-brain mr-2"></i> Enable DLSS 4.0
+                </button>
+                <button class="px-4 py-2 bg-green-600 hover:bg-green-700 rounded-lg font-medium transition flex items-center">
+                    <i class="fas fa-project-diagram mr-2"></i> Enable NVLink
+                </button>
+                <button class="px-4 py-2 bg-gray-600 hover:bg-gray-700 rounded-lg font-medium transition flex items-center">
+                    <i class="fas fa-cog mr-2"></i> Advanced Settings
+                </button>
+            </div>
+        </div>
+        <!-- Status Log -->
+        <div class="bg-gray-800 rounded-lg p-6">
+            <h2 class="text-xl font-semibold mb-4">Emulation Log</h2>
+            <div class="bg-gray-900 rounded-lg p-4 h-48 overflow-y-auto font-mono text-sm" id="emulation-log">
+                <div class="text-green-400">[SYSTEM] Initializing RTX 5080 Ti emulation...</div>
+                <div class="text-green-400">[VRAM] Allocated 24GB GDDR7 from system RAM</div>
+                <div class="text-blue-400">[CUDA] 15,360 cores online</div>
+                <div class="text-pink-400">[TENSOR] Gen 5 tensor cores initialized</div>
+                <div class="text-blue-300">[RT] Gen 4 ray tracing cores active</div>
+                <div class="text-yellow-400">[PERF] Estimated FP32 performance: 68.4 TFLOPS</div>
+                <div class="text-green-400">[DLSS] AI-based DLSS 4.0 ready</div>
+                <div class="text-purple-400">[SYSTEM] Emulation fully operational</div>
+            </div>
+        </div>
+    </div>
+    <script>
+        // Initialize core visualization
+        function initCoreVisualization() {
+            // CUDA Cores
+            const cudaContainer = document.querySelector('.col-span-8 .grid');
+            for (let i = 0; i < 128; i++) {
+                const core = document.createElement('div');
+                core.className = 'w-2 h-2 rounded-sm bg-gray-700 hover:bg-green-500 transition cursor-pointer';
+                core.title = `CUDA Core ${i+1}`;
+                core.dataset.type = 'cuda';
+                cudaContainer.appendChild(core);
+            }
+            // RT Cores
+            const rtContainer = document.querySelector('.col-span-2 .grid');
+            for (let i = 0; i < 4; i++) {
+                const core = document.createElement('div');
+                core.className = 'w-4 h-4 rounded-sm bg-gray-700 hover:bg-blue-400 transition cursor-pointer';
+                core.title = `RT Core ${i+1} (Gen 4)`;
+                core.dataset.type = 'rt';
+                rtContainer.appendChild(core);
+            }
+            // Tensor Cores
+            const tensorContainer = document.querySelector('.col-span-2 .grid');
+            for (let i = 0; i < 4; i++) {
+                const core = document.createElement('div');
+                core.className = 'w-4 h-4 rounded-sm bg-gray-700 hover:bg-pink-500 transition cursor-pointer';
+                core.title = `Tensor Core ${i+1} (Gen 5)`;
+                core.dataset.type = 'tensor';
+                tensorContainer.appendChild(core);
+            }
+        }
+        // Update core activity based on utilization
+        function updateCoreActivity() {
+            const cudaUtil = parseInt(document.getElementById('cuda-util').textContent);
+            const rtUtil = parseInt(document.getElementById('rt-util').textContent);
+            const tensorUtil = parseInt(document.getElementById('tensor-util').textContent);
+            // CUDA Cores
+            const cudaCores = document.querySelectorAll('[data-type="cuda"]');
+            const activeCudaCores = Math.floor(cudaCores.length * (cudaUtil / 100));
+            cudaCores.forEach((core, index) => {
+                if (index < activeCudaCores) {
+                    core.classList.add('core-active');
+                } else {
+                    core.classList.remove('core-active');
+                    core.style.backgroundColor = '#374151';
+                }
+            });
+            // RT Cores
+            const rtCores = document.querySelectorAll('[data-type="rt"]');
+            const activeRtCores = Math.min(rtCores.length, Math.ceil(rtCores.length * (rtUtil / 100)));
+            rtCores.forEach((core, index) => {
+                if (index < activeRtCores) {
+                    core.classList.add('rt-active');
+                } else {
+                    core.classList.remove('rt-active');
+                    core.style.backgroundColor = '#374151';
+                }
+            });
+            // Tensor Cores
+            const tensorCores = document.querySelectorAll('[data-type="tensor"]');
+            const activeTensorCores = Math.min(tensorCores.length, Math.ceil(tensorCores.length * (tensorUtil / 100)));
+            tensorCores.forEach((core, index) => {
+                if (index < activeTensorCores) {
+                    core.classList.add('tensor-active');
+                } else {
+                    core.classList.remove('tensor-active');
+                    core.style.backgroundColor = '#374151';
+                }
+            });
+        }
+        // Update fan speed based on temperature
+        function updateFanSpeed() {
+            const temp = parseInt(document.getElementById('gpu-temp').textContent);
+            const fanSpeed = Math.min(100, Math.max(0, (temp - 40) * 3));
+            const fan1 = document.getElementById('fan1');
+            fan1.style.transform = `rotate(${fanSpeed * 3.6}deg)`;
+        }
+        // Randomize metrics slightly for realism
+        function randomizeMetrics() {
+            // Current values
+            let cudaUtil = parseInt(document.getElementById('cuda-util').textContent);
+            let rtUtil = parseInt(document.getElementById('rt-util').textContent);
+            let tensorUtil = parseInt(document.getElementById('tensor-util').textContent);
+            let temp = parseInt(document.getElementById('gpu-temp').textContent);
+            let power = parseInt(document.getElementById('power-draw').textContent);
+            let fp32 = parseFloat(document.getElementById('fp32-perf').textContent);
+            let vram = parseFloat(document.getElementById('vram-usage').textContent);
+            let bandwidth = parseInt(document.getElementById('mem-bandwidth').textContent);
+            // Add some random variation
+            cudaUtil = Math.max(10, Math.min(100, cudaUtil + (Math.random() * 6 - 3)));
+            rtUtil = Math.max(10, Math.min(100, rtUtil + (Math.random() * 6 - 3)));
+            tensorUtil = Math.max(10, Math.min(100, tensorUtil + (Math.random() * 6 - 3)));
+            temp = Math.max(30, Math.min(85, temp + (Math.random() * 4 - 2)));
+            power = Math.max(200, Math.min(450, power + (Math.random() * 20 - 10)));
+            fp32 = Math.max(50, Math.min(75, fp32 + (Math.random() * 1 - 0.5)));
+            vram = Math.max(1, Math.min(24, vram + (Math.random() * 0.4 - 0.2)));
+            bandwidth = Math.max(700, Math.min(950, bandwidth + (Math.random() * 20 - 10)));
+            // Update displays
+            document.getElementById('cuda-util').textContent = Math.round(cudaUtil);
+            document.getElementById('rt-util').textContent = Math.round(rtUtil);
+            document.getElementById('tensor-util').textContent = Math.round(tensorUtil);
+            document.getElementById('gpu-temp').textContent = Math.round(temp);
+            document.getElementById('power-draw').textContent = Math.round(power);
+            document.getElementById('fp32-perf').textContent = fp32.toFixed(1);
+            document.getElementById('vram-usage').textContent = vram.toFixed(1);
+            document.getElementById('mem-bandwidth').textContent = Math.round(bandwidth);
+            // Update visualizations
+            updateCoreActivity();
+            updateFanSpeed();
+            // Update sliders to match
+            document.getElementById('cuda-slider').value = Math.round(cudaUtil);
+            document.getElementById('rt-slider').value = Math.round(rtUtil);
+            document.getElementById('tensor-slider').value = Math.round(tensorUtil);
+            document.getElementById('vram-slider').value = vram.toFixed(1);
+            document.getElementById('cuda-slider-value').textContent = Math.round(cudaUtil) + '%';
+            document.getElementById('rt-slider-value').textContent = Math.round(rtUtil) + '%';
+            document.getElementById('tensor-slider-value').textContent = Math.round(tensorUtil) + '%';
+            document.getElementById('vram-slider-value').textContent = vram.toFixed(1) + 'GB';
+            // Add random log entries occasionally
+            if (Math.random() > 0.7) {
+                addRandomLogEntry();
+            }
+        }
+        // Add random log entries
+        function addRandomLogEntry() {
+            const logEntries = [
+                {text: "[PERF] Adjusting CUDA core allocation", color: "text-green-400"},
+                {text: "[RT] Processing ray tracing workload", color: "text-blue-400"},
+                {text: "[TENSOR] AI upscaling frame", color: "text-pink-400"},
+                {text: "[MEM] Transferring assets to VRAM", color: "text-blue-300"},
+                {text: "[DLSS] Analyzing frame with neural network", color: "text-yellow-400"},
+                {text: "[THERM] Adjusting fan curve", color: "text-orange-400"},
+                {text: "[SYSTEM] Emulation stable", color: "text-green-400"}
+            ];
+            const entry = logEntries[Math.floor(Math.random() * logEntries.length)];
+            const logElement = document.createElement('div');
+            logElement.className = entry.color;
+            logElement.textContent = entry.text;
+            const logContainer = document.getElementById('emulation-log');
+            logContainer.appendChild(logElement);
+            logContainer.scrollTop = logContainer.scrollHeight;
+        }
+        // Initialize sliders
+        function initSliders() {
+            document.getElementById('cuda-slider').addEventListener('input', function() {
+                document.getElementById('cuda-util').textContent = this.value;
+                document.getElementById('cuda-slider-value').textContent = this.value + '%';
+                updateCoreActivity();
+            });
+            document.getElementById('rt-slider').addEventListener('input', function() {
+                document.getElementById('rt-util').textContent = this.value;
+                document.getElementById('rt-slider-value').textContent = this.value + '%';
+                updateCoreActivity();
+            });
+            document.getElementById('tensor-slider').addEventListener('input', function() {
+                document.getElementById('tensor-util').textContent = this.value;
+                document.getElementById('tensor-slider-value').textContent = this.value + '%';
+                updateCoreActivity();
+            });
+            document.getElementById('vram-slider').addEventListener('input', function() {
+                document.getElementById('vram-usage').textContent = this.value;
+                document.getElementById('vram-slider-value').textContent = this.value + 'GB';
+            });
+        }
+        // Initialize everything
+        document.addEventListener('DOMContentLoaded', function() {
+            initCoreVisualization();
+            initSliders();
+            updateCoreActivity();
+            updateFanSpeed();
+            // Start randomizing metrics periodically
+            setInterval(randomizeMetrics, 1500);
+            // Add some initial log entries
+            setTimeout(() => {
+                addRandomLogEntry();
+                setTimeout(() => {
+                    addRandomLogEntry();
+                    setTimeout(() => {
+                        addRandomLogEntry();
+                    }, 1000);
+                }, 800);
+            }, 500);
+        });
+    </script>
+<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=PrinzPesia/rtx-5080-ti-emulator" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
+</html>

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+ Erstelle eine Nvidia RTX 5080 Emulator. Also dass der CPU alles für RTX 5080 Ti Emuliert, so dass diese Programm denkt es läuft RTX 5080. Sprich: die ganze Grafik berechnung, SSE Also ganze: CUDA-Kerne ~15.000+ Raytracing-Cores Gen 4 RT Cores Tensor-Cores Gen 5 Tensor Cores (für DLSS 4.0?) Speicher 16–24 GB GDDR7 (oder schnellerer GDDR6X) Speicherinterface 256–320 Bit Rechenleistung FP32 60–70 TFLOPS (geschätzt, realistisch höher als RTX 4080) DLSS-Technik DLSS 4.0 (möglicherweise KI-basiert mit Video-Input). Soll der CPU übernehmen. Und als VRAM wird der RAM benutzt. Viel spaß.