diff --git a/apps/gpu-service/src/gpu_service/data/__init__.py b/apps/gpu-service/src/gpu_service/data/__init__.py
new file mode 100644
index 00000000..60b1dae9
--- /dev/null
+++ b/apps/gpu-service/src/gpu_service/data/__init__.py
@@ -0,0 +1,7 @@
+"""
+GPU Service data files
+"""
+
+from .consumer_gpu_profiles import CONSUMER_GPU_PROFILES
+
+__all__ = ["CONSUMER_GPU_PROFILES"]
diff --git a/apps/gpu-service/src/gpu_service/data/__pycache__/__init__.cpython-313.pyc b/apps/gpu-service/src/gpu_service/data/__pycache__/__init__.cpython-313.pyc
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diff --git a/apps/gpu-service/src/gpu_service/data/__pycache__/consumer_gpu_profiles.cpython-313.pyc b/apps/gpu-service/src/gpu_service/data/__pycache__/consumer_gpu_profiles.cpython-313.pyc
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diff --git a/apps/gpu-service/src/gpu_service/data/consumer_gpu_profiles.py b/apps/gpu-service/src/gpu_service/data/consumer_gpu_profiles.py
new file mode 100644
index 00000000..9fc980a4
--- /dev/null
+++ b/apps/gpu-service/src/gpu_service/data/consumer_gpu_profiles.py
@@ -0,0 +1,79 @@
+"""Consumer GPU profiles data for edge GPU service"""
+
+CONSUMER_GPU_PROFILES = {
+    "gtx_1660": {
+        "gpu_model": "NVIDIA GTX 1660",
+        "architecture": "TURING",
+        "memory_gb": 6,
+        "cuda_cores": 1408,
+        "memory_bandwidth_gbps": 192.0,
+        "tensor_cores": 0,
+        "base_clock_mhz": 1530,
+        "boost_clock_mhz": 1785,
+        "power_consumption_w": 120,
+        "thermal_design_power_w": 120,
+        "noise_level_db": 35.0,
+        "fp32_tflops": 5.0,
+        "fp16_tflops": 10.0,
+        "int8_tops": 20.0,
+        "low_latency_mode": True,
+        "mobile_optimized": False,
+        "thermal_throttling_resistance": 0.8,
+        "supported_cuda_versions": ["11.0", "11.1", "11.2"],
+        "supported_tensorrt_versions": ["8.0", "8.1"],
+        "supported_ollama_models": ["llama-7b", "mistral-7b"],
+        "market_price_usd": 250.0,
+        "edge_premium_multiplier": 1.2,
+        "availability_score": 0.9,
+    },
+    "rtx_3060": {
+        "gpu_model": "NVIDIA RTX 3060",
+        "architecture": "AMPERE",
+        "memory_gb": 12,
+        "cuda_cores": 3584,
+        "memory_bandwidth_gbps": 360.0,
+        "tensor_cores": 112,
+        "base_clock_mhz": 1320,
+        "boost_clock_mhz": 1777,
+        "power_consumption_w": 170,
+        "thermal_design_power_w": 170,
+        "noise_level_db": 38.0,
+        "fp32_tflops": 13.0,
+        "fp16_tflops": 26.0,
+        "int8_tops": 52.0,
+        "low_latency_mode": True,
+        "mobile_optimized": False,
+        "thermal_throttling_resistance": 0.85,
+        "supported_cuda_versions": ["11.4", "11.5", "11.6"],
+        "supported_tensorrt_versions": ["8.2", "8.3"],
+        "supported_ollama_models": ["llama-7b", "llama-13b", "mistral-7b", "mixtral-8x7b"],
+        "market_price_usd": 350.0,
+        "edge_premium_multiplier": 1.3,
+        "availability_score": 0.85,
+    },
+    "rtx_4090": {
+        "gpu_model": "NVIDIA RTX 4090",
+        "architecture": "ADA_LOVELACE",
+        "memory_gb": 24,
+        "cuda_cores": 16384,
+        "memory_bandwidth_gbps": 1008.0,
+        "tensor_cores": 512,
+        "base_clock_mhz": 2235,
+        "boost_clock_mhz": 2520,
+        "power_consumption_w": 450,
+        "thermal_design_power_w": 450,
+        "noise_level_db": 42.0,
+        "fp32_tflops": 83.0,
+        "fp16_tflops": 166.0,
+        "int8_tops": 332.0,
+        "low_latency_mode": True,
+        "mobile_optimized": False,
+        "thermal_throttling_resistance": 0.9,
+        "supported_cuda_versions": ["11.8", "12.0"],
+        "supported_tensorrt_versions": ["8.5", "8.6"],
+        "supported_ollama_models": ["llama-7b", "llama-13b", "llama-70b", "mixtral-8x7b", "codellama-34b"],
+        "market_price_usd": 1600.0,
+        "edge_premium_multiplier": 1.5,
+        "availability_score": 0.7,
+    },
+}