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Add gpu-service data directory to git and update .gitignore
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This commit is contained in:
aitbc
2026-05-02 10:22:52 +02:00
parent 62cf321da9
commit fd8a516ba5
4 changed files with 86 additions and 0 deletions
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7
apps/gpu-service/src/gpu_service/data/__init__.py Normal file
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"""
GPU Service data files
"""
from .consumer_gpu_profiles import CONSUMER_GPU_PROFILES
__all__ = ["CONSUMER_GPU_PROFILES"]

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apps/gpu-service/src/gpu_service/data/__pycache__/consumer_gpu_profiles.cpython-313.pyc Normal file
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apps/gpu-service/src/gpu_service/data/consumer_gpu_profiles.py Normal file
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"""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,
},
}