# AI Hub

Qualcomm^®^ [AI Hub](https://aihub.qualcomm.com/get-started) 는 모델을 최적화하고, 기기에 배포할 컴파일된 자산을 받고, 성능 확인을 위해 모델을 프로파일링하고, 정확도 테스트를 위해 추론을 실행하는 빠른 방법을 제공합니다.

Snapdragon X 플랫폼에서 두 가지 방법으로 모델을 사용해 볼 수 있으며, 다음과 같이 할 수 있습니다.

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> 1. 사전 최적화된 모델 선택: 개발자는 AI Hub에서 [사전 최적화된 모델](https://aihub.qualcomm.com/compute/models) 을 살펴보고 선택할 수 있습니다. Snapdragon X 플랫폼에 맞게 특별히 제작된 모델들입니다.
> 2. 자체 모델 가져오기(BYOM): 개발자는 자신의 AI 모델을 AI Hub에 직접 가져올 수 있습니다. [여기](https://app.aihub.qualcomm.com/docs/hub/getting_started.html#compute) 에서 추론 작업을 컴파일, 프로파일링하고 실행하는 mobilenet\_v2 모델을 보여주는 예시를 확인할 수 있습니다.
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![../../_images/ai-hub-steps-no-links-03.png](data:image/png;base64,UklGRkIZAABXRUJQVlA4TDUZAAAvf8M4AFWL4rZtI1v7j524d98RMQH6a/BiSYBDwkhzASWqd2HCTMDOti363dIVgEOBZlLadsLIZMBtIOFQCwB9uJ36/yXZcQzBEBw6dOjQEBw6NISB4NChIUw4oSAoFIQXKlQ4ofetqquqX1fpf/t6aSRCYBgjFpUKgcJm4uVGJiFiPwRKb2oCw8bLOx0NoImaidNC8Zh4aRjei4PDWXFcUHXOEBCD8XbTP4Rm4lNEXnnB0akxrEy0XAQD6KHyRqOjHw0fxZAkSYmxz0FYjPWnWIS5HmoiSYo64/iRQogE/KtAAmH/J8Bbre15Y9vaRveGcEO5odwwbgg3lzipzNo1M0fNSc3ITFSkDmIiKmQiKlBCJiZqB7ALmZkIs6hE9H8CrNbaNjmS5E6fsWDgmLAJJExYMGHBhAULFiw4sGDBggULFkzYsKDYLPqlDEX1pHRSVAaMF5vM+GDCtGFoL2nDLGVFejFL2jBLWiEQRC4UDQfkwO/DO2u4Eax8iQwnerFAVLQcGLkRXog2Kx/CAbmROHXOmDK07OhFNsySViRt/HnwlzFDO86pRTZ8FoimB3WaBhBJ3AuTD+2FrJh9Ri6Ith2JmUZwG+b3nzBtda2goKDKnNi2VTdxty6RzxWJRCKRSCQSiUQ++eTtHxnXDCFDyND6PwEfZeX/lf9X/l/5f+X/lf9X/v9CzR8GQAkI2C7C9eNDvJMrLooAN8R1cT3jJEO00T0rYBPh2vV23oYvhGc5ERSwA+whBa48hZDIEyt9OH0KyaK/kUHGHvaQFkMiN6N8p3iyLRodAAaL3Iwi7uhgbvBgeD8oBAE3AoA8N8p4InuYm61/Bx/+MAsILlK00QWgAU7CB7iPnF5Io2MyNviwd3wfw69moY8UcAyov7PhqpM3SjnQmZuz4SrvYTsDgeRmGkU7pY4MqDMFoABUFXBimhjNzXY/fZDhmo0MAukwiheODKizggi0IPDG0XvvDwBUEelGETtGi+gwnF/hGd7F/hrtfSCwg4zGjgGWED7s7/cTcBja4S7gmEYhJzpbSAFAFVnFjpOUQFpDxUGOYl4T3GBd4V7hM/ksxzNcg4qeyac58SkubBVyHedX2pynwRicRQvwkqlfYbPIzPkMZwF7wLjCBgYwmFTujIHOHjBQeAlgDDD1i/K/ic+h0/799RDoPwT6ig6MEn1LSoccfwOT//ulyf1vtj1gMAY6Ci8BjAGmvhWD/6OD8qMV4l94MJgwDLwcZt4DxmxpUNT/T//5vve/wbaADvMecJFatM2tGqUV/teAUP/fgFzVNSBXtWbIVQ3gPCqcmx5aOHvXa8NI2ib00MoccNoAupNqJjq9BvSqk9o4nHptGEnbgPk7FhD/ZM7RgT7zQ2AJy+MlU9+aTntQC0Mzt4vcHNwucnNwuxi2zfKkejGfDB1cFoZ6UUx96+7LQljZycKphfBJMXWmqfcD1ZuevCimvjVTDX5JOkAvf9HkMV9vqAx/xJv4UKbAgNkDkjzs+Wxp46XQQji5dZGd3LrIBkOvkhJD3bSj0JthIdTd1ZMahLp7q0y19y8szSzN3M8yoburJ/VmqP3XZGlhvqUQz0LbIL52cv0MZ/czGcBgwswJ0M9jef9asZPU3u0ktXdbhlH04ni90OhHieOYXOrgPsqsd9UnJ0MTxxGUP3lZQF/6F7Jfo38Db/bXJvVn6OdH4j2EwZSZuQ+DdFyczf0Qpb3UHmid9kDTKJvdgumLX1l0Dyf1oH6XSm+66B7+ucsOK5ZLTRdazrUtp19subIQnEu7kDK/0nBjK9kpHVwbRtKaIdcG0F9adF0DctXMyewAzTUgVy2cvZuJTq8BvWqa0EMr54ChpgH7UgM4Hy7uj8PbSRPAAOMcL4EBkO541gWhJrovDG5dZAe3LrJXSTq5brbaXroZR3aWmgxC3b0d9e5f0zaXamepyZvxR24Fudi8YC4cftZTRAdzLSKin782T/aZnHpRTH27GLbNshC+NCimPjSzzBR1UnWRm4PbwlAzxdSZpt5tuydPwspenoRt7+SgelK9mOrYfhSTQT+BOhmwcpwAMACSdMezxtyrDsorN7k5qN7k5qAaTM0sJ6dt5CejOahPgtE8e2q7LwvFyl4WisZfMTl9DEbz7MlMNfjDRvNFm2TEXAnmMeVKvJz2LFsW2OJxN91dPanB0Kuk1x536MmtF8XMeja5dZEtxMHSzNLM7WNlWplamQahNzMx1E0zEZ/EoAMABkCS7vic1x+kCfImW5ZYgBy+4hqQq7oG5KrGhlzV6DDTk7npl0+8MoyqbUIPreQBRW2D/q7FYdYrw6jaBsz8rtKm6P3uksflxYUzFZIjQpR5SfpicvdsRs0OSyvZxHG0DKPoa+Hx5nC+1klq72+prgG8kp1UHy+Ol0H6ILYAYwDs7Xi8am8nTQBjkHiW/M8thH9tZfqTTtesZzIeljw/hxnyv9i8eGzB8+8PNIloZ8F7UI8iLUKfNd2NZfdoud23h5m66D6NstntPZ3l4RfaA+0trfdlfU8wPd7DD6IPY5DssOVbUxiDdC33tPDlDQowh5XJUlRE7l+tXzT1Geut863z2o3d/Nrlxl/fWrLG0fE8Fpke2eW2s9TkVZJOrvcMQk1fGNy6yL7lYvqVIDSV62arTW+uT8JPYAyQpDuT1U0G/Q5gjMFgLXdFvJt9SZOC9iFQVe9MTIgobl9MOe5xgffmQTsmInHmdrjIGozm2VMwNbOMd6y+lxfXaze5OajvWezWxmtt7+SkOjltI3t2PwkeJ8jb6Q/8Agb9DgAYABjwGn5iREmjsvfbE4BKeqdCIYk73+dVZsHGoZxkRBL3qFiPZ1OvDKNqbMhV26B/yTVgh6+5BuTqe7w2vbBfMQ3IlxodZrKfnwWzt5MmAAyAZEvldQAYANh7OOY1fUYLmxY/tDdABVnwhmTEkLR7dZ4trN51TohEX6svyt9/cH8aueOHewAMMM6ZJDAAPsvxcMxrfqOC8nvvvT+ugVLtmIhOdv/Oll6fnLFpCknOu2bBWuYvbq7c8TdgsJfTh0G65XMpaFKwfvPNfckh4/3+Xhk6cEW0+zJb7L+hM6LoYFiWYR7AwGfmBOjzTTypr3TaUd3Mn6My/0S1vvJvXpaoH718JqoXwjpbfn3uXe1eWnr5rl9e8fLwFNhi9oCEiz3hPhiwvkfru/k9C+MgUw+C+VDJf8C2D0t+M2dYA8Vqbvz83+tHXMSjg6PjU10vq/QxyPMNoM+8A6R2OB8S3+bi9JtuSH/sWpTcZ9pLaIkDIXHqXNReQ4ssZWSBQUmBZKDaAjrMKbBjh/4Q3yco3+RiE3/wtHDmvbwEaAlyJSNKNC+C3x36/xaS+NltjbLGdyjxsfRhDLCl8GEwYRh4Nshc6u754dowklpg5Idrw0gvTIBaGZnltWEkLZwZom6IZ4Pa99uCqZVsJQ84/3wdHwKqZTwJSRq+ZcOD4GoD86+1kHSbJPVvEcSnMshJPAVPgcEYSNgGV89aKQ/BNO3dLBRXp3pRTH2/YFC0spMG07R3szA0k5uZ+yixHdRv0JeF80/XQ0Bzi9U1kRyzxU+fjw6ygJmbEmZEceeQTmDU77d3e1veqtFhLHUyHgrFBbfaoHmyPhS+TAKmE1Y/BPoPgdQOdbKcrM1ydzUo9q5OqrurJ/VrU91dDYqF0EJoIY6C8GJ+4ekXptr7jwXhnh6Fzix2PlVI3JElWXBt7sA9m/4y5+43JCNSnAWWpb2XKVPfkln/EyqhDi7boD4Qr+xnrc9PhQeJx3nHQGcPGNghKqX1bGcttnozFvkocRxvWWz1ZnyhHG2W9t5em6r1HZn1IwEIwgVwWgoW+0QyojxgC7Ng+1THm8Tq5TadESn2LZtU9WJ8u79w9KZBUVvfB729QHni6O1TKRwGMJjYwr2DOMoH+YVF9/g9+SC/pXIcf2PoHcXrAhbpVEjeWd37T7uuow+ygPMeS0akk6pVia7aSjgJLRSNDiNVgKkBnNrIJ+Q1ISfttMph6LVhpKOe1c2tOridbMazvrmfBNcntAdj0GF7BL37YO9qUOz9yM5S03vsXQ3KWya3mthvql/p3R8IiWR0siXpsECxiH5+NZPNoKG/nm5zgUexiAytuskPjy8E4c3WzNJJWBk2qF4QXowD1SDrRTH1fbA41U57OAknkbmeVfKTSvmEHub0bZLgPAqmafdmobg61WA0z57eE0zT7u0drXcfM/d7Ers5D/qycP5AcKTDKFxsSIfFcV3XPV7NXRFx/84FX104dV3XsvqWSWiUo8VQJ7XRtdG10Z+lzq27qyf1oVK0cVQoD4vdnjiJo8X8hDwYYMsmDtaR14aR1AJjUvXKMKrv8dowku8onAfBfI9Xp5eDOeD050EgwyjgnkxYmKfVanV/Nc9rffqUC8+Ce9Vqla2+37I6zPAoONUgXqM9yYQmjuMF+9FJPBjMZ21zf1I8QDLmEvLU7ZhGEQeyx6JYWr2dvsw2TvSHVuIVLQXGs3JQ3lPI6qL74tHmfhhcB2byEy/yR8WezyUbEuMoZEdXJ7Yf3OrFsDyLom7Swc1QJ/UtNz2pdpaaDhZTDYra+vbohmcODirlMyoxT5tjkFLPXYOlnpMpU70YtkxxEqa+dXDrIKxk37K5fAxG8+zpwZ5VB5dtUJ9YXmn9ILh+PSInKY1kg5kmMKpaIJ8ULcBIujZTAzh9S3BY9MowqoejN9XoQE7P3C8YB6O3Xw9yNGI/byUeHgu9+vbWp/9RMe9n1vD9hfWfldTns7+yEn4S0S5z5e9whp+DgoSUEt1S7CdtjMgkpchgJyV2kFHiDmojKSKdiAIZbKWe7IJ8EumgdpIiRDJukmivWyQd1AxF9lLqGZtCgUT5xgA1RI5OSnfoGkMVCEm4PaCmqCd7GU1k3yCqEK9WuQC06ca3mnk2/u0e5Bmmbny/WiopHDtICB0d1HAvwKaWjCj6qWopKhKtHFEFWkjikkkRySSf0N2O0KWDK0TiXGpUvSESrVQUTVcoJF06KRzZbZJoNx0ZocuHE6KQdFd1JPr5LFCM4oxIRFJCKdKO4t0l6BLiDRESvaHKgsXYv1lNpyKSEeNSSoGQhBsAXUbc0Y7WOljdgc6tl1SqEK8a8QXg6ry7cVcHtIrbzie1ef0jLrHs0EVQBlGgcBV04MQ+Pwd+z//+cyco0MGQmet1Zm6e9XCmPhe70g8y9SCYme/5b34uAnAKmIPIqbL6jSi+x0WfcP1nAvda4BQMHddnbvaYOY3/xEVPbMZ/Jx7640Ngbjz0uf2a657WiXwufhCZ9K5F1watkgec/wnwfv8SMC/mdiQi4qScn4qwSUH5Bn1ZOP99Vz7j/VNcopo70+lP87whGZGIRDdVvWWPw03LboaJ/YWnX5hq739b5e2Zh+WfJscP59W4J6JPG41Gl6uuUBiSOHO+hm80Go135URbNgkd1Neman1HZv09Xc1oy++tmQq3eX74XjUisru7u3uhtbCN3d3d3VhErGqdw/nR/NlXacvsy1/kbS9Ryd+iKM0CVh5KRiQicWqsbEeRa1UQqpv0nvaV3v17+l9bfm/NoPzDzP4hUA03R++z+k+OiIi+y3mro32rMvdDId7j5jYO+rJw/k0R5Vt7RstmjmtAtaKCu7HjOEEW5LO+sn282W9aGUp/mANO/7a0rNUztJdQnRcFwT5Xe3eazO1gWKTP2C566SVA5xdEeszqIIqHFSUKaP5c6lrPmfla3fb7zEMdBZUlBefR1j8cMjM3domZh4EOqILmXo3nWg859xMFcxAFXBut+4B066L6vOs29OGQV0GBfuDG04/XdQB9kG0P1EOqRUTXOB/nbYiIxOsqkDsLSJHS3SWgDlzJiCR6ruq58VxVc4WI9HoK/PzC+4sJeegjSSdbkruAGtBERLqruiXSuqMYxUREsq7iMHx57X+Vh0B2aZRuiGTA4gUiIs5IdSjiXFlU8FREJF5HgZ+fn09vHA8zIh1GATuyBvwgCIIjVh8tZwTPZ4FqFATB/ffWUSgAHIa3cpDYjTJ2dFi4kvU0ILcQ5FtzqjjzB2jOjkFIE2lucOa9H9aYBSQXRetSD9QbzoYDsqpgN0rZMcDgtF++5X+FPCQK2PWoMzwYbr300pdOQnsfCjoxJSaT8yush7fyEMmYJtGGOyQD6mzrvff7fw53M8mO8N630Czi7S6M4oUjA+pLMVvtiX++dPC/gqoiscMoYcdYZ4WtiV/hwXAAoCD7UcYdE2yif7504X/1o/Y+Et0o5MTYCEjmInIyCt4Pa5wNd+EYpDSShs8xSSkwzk2RqwAQOYkpMsDoBXZSikzzKyoqZ/gUkXdklEionRTIjYQSmZYYfjf1SzdFImOQTnCkgy4t/FhLvF26KcKOJJ1gI0km6NKCAp0RSbuj0k2BFCncmABdWviBpjAk+aFvh+Bx1GeT+x+BKoA+CLYHoNUuCdJIKPzC9whJp/aYmjbrH4eqQrRaeR00G2+8XO5pa6FwNpuFpNt2sRBPPtOFkXkNdLWI83J5ZzsmCme5IcXbdjkJKyOzJtVCZAg1IJ/EQ+HUStZrw0jaWZqpZk7mQZvQQ3fXm1NPauUcMH5LPnYyfhPJdL+cs78Y03lCIv36yB6r92RlJz0azcxtYZr20aLrSRhM097tteLx7stCeHJb2Lq7lb08id+R9/4tFIYk0z+WcVItIhTOZiGJiF4Mq8U7DK1Mn4UWwt7VeWSm2ntzdzUor62jINTd20W4O3diWplamb8iB45QOJuFJE67fPNGq9VqCYUhnTitVqvVLN5UB9c7ymK/FJw308VWb8ZbJpc6uO1jEb1cXM/yb8h3IqFwNpvNQpJDv2wzarfb7deFSJzjdrv9p/ftUclvSeSXWu8n1UU+yG+qB9XRgzT2SfpN+dPvhcKZMiQ5PCrXKA9zoh7b8dl4i72/5KBvtXc1KOY3BKHu3gz68KJvf0+yYDOSwsTxy2htcL0nOE372QVFDaZp9+ZJuPprbfdloWiCsHXiN+WdluPojBjmhKQdxxmWyx7z5XsMyOOZnaV6bRhJ24AxXrNN6KG6STq4f1F4v9ls/j2mcDYLSY6azSaXx/7qpE7qk539m86ULU/ljvLoP/Bz6xo/w3cP8oq8rD17fBF/W08lX6FJQeNM6pdS/yGC+MfVCnC2gwbhrwzOgVpaEzjTN8lb9cqQLzXYTa1kF9xqg7Y6VT0ZB5PHsQyeTk/WP62PMTGhvBoUf/weMJ/m7VS5uW+n1Hdy9d2+RSXU4NST8sB8ZT8x2HrT05PQtVmqnaXa+vyDp6a0Gu/394B5dFuRstWzUyHUIL7F6E0XWTWzHqgvUJ6YCTPhKxbiJUdvdlRZn93eYB7HkSgdW52c6iqXRofZNDaM9OTaMNJRz2oQD8FpsNntSd/cTxa9kP1LgsuGutWWzfHD+XyIiGyWOsXDoHiTDU5T30cXxdT3weJUB9dDZRjMwvmskp9YgPu11Xt6rVLEt8ivBOVX4uir/v98wtBupgnnUntXB8vHzDrYXT2pD5WiZupRfnBzP3ESTxJkX3gcy9cW82bG933fqizwfX+/GJV+UCgHC8bBDfP35WF70ZbNG9pYM2oMhovscXTgKHEcrwyuo3Fws5+1zX10AvWF8Gb7QdUWz7/V0llQgIi08nVbrcWzbxZjwvUl0sP5G6OoMGd7iZqJ0tRJvFCYmo8W3RePgngIzgNP8hMv8sFND/ZLZuKDarZEu/nORlutVmvxzGaeuhbnuAiJzfhaPPRfmQoz+3tA3WxuNTjtXY3SNusFO0tNB4upLvJDZh21zTMHB5kwU16q7C9Uys2SP8xlmwSRSV/IfasX+aFN6KGuDOdBAOcvynENqJZ74Umuf7NUcjJlqkFx9ewkvHgSjObZ04M9qwannhSPrK+0/lDIumC94qa+Flw3S6st1iYF5SuFqrlfD7svC2HrOzkfTqoX89fk/BKqVfzo+Vx34yZxTWBUNTqczTZhDOLAK8OoHo7eVK8MOXzmfMGAdsOtnuT2SpBfG70J5GaY2F9ZTBfzIQh19xaELrKJoW7aL4kCWs3zX891/n6zfOtKPPyErU9vdvhmmIQO6mvd3FuhBtPJpQ7uST26OF6/JTPL/fW5F7PS/hpg3j9FYX04pAOLT6UYrXM4vxLE3h7Vg/pCMD38/fnXv/7VEKnPn6ESfjoSWaypGEGobtIX7J04CELdvQVxdLPV9m8KV/4ZzvDjee6vFROJti5zPxTiKyekg7b7slBsfScnWSenbeR/UzRuQ73wy7/ONf6uVZXt483+ys30wDahh7oyxIPRYab/Gowflv4yV5/X9LaUZM1V1oowrJjJvih/VxDlU+qNSph83c5RKkSpRxUw33g9t5kFTLWe+n3mWk/Z5AoY0X6hrED3OT49KabIYCMpdkxCCiTUSkrsIKOOyU5SxNsdBATHCLWTFJHcQDhI5K63LmJjKBxJOsmSZATUDDkGMZHQpkRwlK4LUEOMRCelwNgcCgBBsgCgxhhkL6SOqUGykKwaZSR2EJHjDmonI97ugnzgyGArKSIZ0yTacIdkgFrLSBSw66EWM5BcFK1LPaB2M+SrK/+v/L/y/8r/K/+vZA0A)

개발자는 위 옵션 중 하나를 사용하여, AI Hub 인터페이스를 통해 최적화된 AI 모델을 Snapdragon X 기기에서 실행할 수 있습니다. Snapdragon X 기기에서 모델을 실행하고 추론 결과를 얻은 후 AI Hub는 모델을 로컬 기기에 다운로드하여 AI 애플리케이션에 배포할 수 있는 기능을 제공합니다.  Snapdragon X 플랫폼에 배포할 샘플 객체 감지 CLI 애플리케이션을 보려면 [여기](https://github.com/quic/ai-hub-apps/tree/main/apps/windows/cpp/ObjectDetection) 를 클릭하세요.

요구사항을 충족하는 모델이 있으면 다음 작업을 수행할 수 있습니다.

> 
> 
> 1. Qualcomm^®^[AI Rumtime(QNN)](https://docs.qualcomm.com/doc/80-62010-1KO/topic/qnn.html#ai-engine-direct-qnn) 을 사용하여 성능 중심의 애플리케이션 생성
> 2. 확장성을 우선하고 [ONNX Rumtime ORT](https://docs.qualcomm.com/doc/80-62010-1KO/topic/ort.html#ort) 를 사용하여 x86 기반 시스템 및 Snapdragon X를 포함한 다양한 플랫폼에서 동일한 모델을 실행하도록 지원

## 추가 세부 정보

- [Qualcomm AI Hub 개요](https://app.aihub.qualcomm.com/docs/hub/index.html)
- [모델 컴파일에 지원되는 대상 Rumtime](https://app.aihub.qualcomm.com/docs/hub/compile_examples.html)
- [Llama-v2-7B-Chat 실행 방법](https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/models/llama_v2_7b_chat)
- [Llama-v3-8B-Chat 실행 방법](https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/models/llama_v3_8b_instruct)

Last Published: Jan 13, 2026

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