{"product_id":"core-8550jd4-qcs8550-ai-som","title":"CORE-8550JD4 QCS8550 AI SoM","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eCORE-8550JD4 QCS8550 AI SoM\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Soc: Qualcomm QCS8550 · Npu: Dual eNPU V3: Equipped with 4 HVX (Hexagon Vector… · Ram: 16GB LPDDR5x · Storage: 256GB UFS4.0 · Ethernet: Supports 2×Gigabit Ethernet (via PCIe expansion; onboard…. Typical applications: edge AI inference, machine vision and industrial automation. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e \u003c!-- Firefly product tabs --\u003e \u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e \u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e \u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e \u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e \u003c\/div\u003e \u003cp\u003eThe CORE-8550JD4 is powered by a Qualcomm QCS8550 AI processor with a 48-tops NPU, supporting mainstream AI models. It also utilizes an Adreno 740 GPU for ray tracing and 8K video processing. The cognitive ISP supports up to 100MP single cameras or 36MP triple cameras. All components are integrated into a compact design and feature a 260-pin edge connector.\u003c\/p\u003e \u003cul\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/CoreBorads\/CORE-8550JD4_Specification_EN.pdf\" rel=\"noopener\" target=\"_blank\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 23px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003eAI Processor QCS8550:\u003c\/strong\u003e The QCS8550 uses an octa-core Kryo CPU based on the ARM architecture, with a clock speed of up to 3.36 GHz.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eRay Tracing:\u003c\/strong\u003e Equipped with an Adreno 740 GPU, it provides full ray tracing support and is compatible with OpenGL ES 3.2, Vulkan 1.2, and OpenCL 3.0, and incorporates Hexagon Neural Processing technology.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003e8K Video Encoding \u0026amp; Decoding:\u003c\/strong\u003e Supports advanced video processing for 8K@60fps\/4K@240fps decoding and 8K@30fps\/4K@120fps encoding.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eCognitive ISP with 36MP Triple Camera:\u003c\/strong\u003e Equipped with Qualcomm Spectra Cognitive ISP, featuring three 18-bit ISPs and two DPHY 1.2\/CPHY 2.0 interfaces, it supports flexible camera configurations, up to three 36MP, two 64MP+36MP, or a single 108MP setup for multi-stream vision systems.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003e4nm Low-Power Design:\u003c\/strong\u003e Manufactured using a 4nm process, it boasts high efficiency and stable performance. It is compatible with the NVIDIA Jetson Orin NX\/Nano hardware interface.\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 23px;\"\u003e\u003cstrong\u003eProduct Overview\u003c\/strong\u003e\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/856a626f3d9b27cc31810aad3fb8685f.png?v=1785400931\" alt=\"\"\u003e\u003c\/strong\u003e\u003c\/p\u003e \u003chr\u003e \u003ch2\u003e \u003c\/h2\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e \u003ch3\u003eShipping list\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eMain unit × 1\u003c\/li\u003e \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e \u003cdiv class=\"fx-specs\"\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSoc\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eQualcomm QCS8550\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eQualcomm Kryo® CPU: Octa-core 64-bit (1×GoldPlus@3.2GHz + (2+2)Gold@2.8GHz + 3×Silver@2.0GHz), 4nm advanced process, maximum frequency up to 3.36GHz\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eGpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eAdreno 740 GPU: Supports ray tracing technology, OpenGL ES 3.2, Vulkan 1.2, full-profile OpenCL 3.0, and Adreno NN Direct\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eNpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eDual eNPU V3: Equipped with 4 HVX (Hexagon Vector Extensions), 1 HMX (Hexagon Matrix Extension); Computing power up to 48 TOPS (INT8), 12 TOPS (FP16)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eRam\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e16GB LPDDR5x\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e256GB UFS4.0\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePcie\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × PCIe3.0 (2lanes), 1 × PCIe4.0 (2lanes)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e5V (voltage tolerance ±5%)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower consumption\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eNormal: 3W(5V\/600mA), Max: 10W(5V\/2000mA), Min(Sleep): 0.4W(5V\/80mA)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eVideo output\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × HDMI2.0 (4K@60Hz), 1 × DP1.4 (via Type-C output)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAudio input\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e2 × MIPI D\/C PHY (4 lanes DPHY or 3 trios CPHY) + 2 × MIPI D\/C PHY (2 lanes DPHY or 1 trio CPHY)\nSupports 36MP triple camera \/ 64MP + 36MP dual camera \/ 108MP single camera\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAudio\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e2 × I2S (2 data channels per channel; supports 4-channel TX\/RX, TDM\/PCM modes, 48kHz sampling rate)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eUbubtu\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSoftware support\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eSupports local deployment of large-scale parametric models based on the Transformer architecture (such as the Deepseek-R1 series, Gemma series, Llama series, Qwen series, Phi series, and other large language models).\nSupports the QNN AI inference framework, as well as various deep learning frameworks including TensorFlow, TensorFlow Lite, PyTorch, and ONNX.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e69.6mm × 45.0mm × 4.3mm\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e≈22g\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eOperating Temperature: -20℃~60℃, Storage Temperature: -20℃~70℃, Operating Humidity: 10%~90%RH (No condensation)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eEthernet\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eSupports 2×Gigabit Ethernet (via PCIe expansion; onboard Ethernet PHY chip on core board); 5G\/4G expandable\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × USB3.1 Gen2 DRD with DP, 2 × USB3.0 HOST (via PCIe expansion)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOther\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e3 × CCI I2C, 2 × I3C\/I2C, 2 × SPI, 4 × UART, 1 × ADC, 1 × SDMMC, GPIOs\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e \u003cdiv class=\"fx-docs\"\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e \u003cdiv class=\"fx-scroll\"\u003e \u003ctable class=\"fx-table\"\u003e \u003cthead\u003e\u003ctr\u003e \u003cth\u003eCountry\/Region\u003c\/th\u003e \u003cth\u003e0–2kg\u003c\/th\u003e \u003cth\u003e2–3kg\u003c\/th\u003e \u003cth\u003e3–4kg\u003c\/th\u003e \u003cth\u003e4–5kg\u003c\/th\u003e \u003cth\u003e5–6kg\u003c\/th\u003e \u003cth\u003e6–7kg\u003c\/th\u003e \u003cth\u003e7–8kg\u003c\/th\u003e \u003cth\u003e8–9kg\u003c\/th\u003e \u003cth\u003e9–10kg\u003c\/th\u003e \u003c\/tr\u003e\u003c\/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e \u003ctd\u003e$15\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003ctd\u003e$70\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSouth Korea\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$75\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$105\u003c\/td\u003e \u003ctd\u003e$115\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$110\u003c\/td\u003e \u003ctd\u003e$125\u003c\/td\u003e \u003ctd\u003e$135\u003c\/td\u003e \u003ctd\u003e$150\u003c\/td\u003e \u003ctd\u003e$165\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n Why Buy From Ai-Paipai? \u003cul\u003e \u003cli\u003e \u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cstyle\u003e.fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}.fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}.fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}.fx-tab:hover{color:#0f172a;background:#eef2f7}.fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}.fx-panel{display:none;padding:22px 24px}.fx-panel.is-active{display:block}.fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}.fx-panel h3:first-child{margin-top:0}.fx-panel p{margin:10px 0;line-height:1.65}.fx-panel ul{margin:10px 0;padding-left:22px}.fx-panel li{margin:6px 0;line-height:1.6}.fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}.fx-specs{border-top:1px solid #eef2f7}.fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}.fx-k{font-weight:700;color:#334155}.fx-v{color:#475569}.fx-docs{display:flex;flex-direction:column;gap:10px}.fx-doc{display:flex;justify-content:space-between;align-items:center;gap:12px;padding:12px 14px;border:1px solid #e5e7eb;border-radius:8px}.fx-doc a{color:#2563eb;font-weight:700;text-decoration:none}.fx-doc a:hover{text-decoration:underline}.fx-scroll{overflow-x:auto}.fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}.fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}.fx-table th{background:#f8fafc;font-weight:700}.fx-note{color:#64748b;font-size:13px;margin-top:12px}\n @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}} \u003c\/style\u003e \u003cscript\u003e\n (function () {\n var roots = document.querySelectorAll('[data-fx-tabs]');\n roots.forEach(function (root) {\n var tabs = root.querySelectorAll('[data-fx-tab]');\n var panels = root.querySelectorAll('[data-fx-panel]');\n tabs.forEach(function (t) {\n t.addEventListener('click', function () {\n var i = t.getAttribute('data-fx-tab');\n tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n });\n });\n });\n })(); \u003c\/script\u003e","brand":"Firefly","offers":[{"title":"16G RAM+256G ROM","offer_id":48422468878594,"sku":"firefly-core-8550jd4-qcs8550-ai-som-42761234415700","price":739.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/CORE-8550JD4_2.png?v=1788244310","url":"https:\/\/ai-paipai.store\/products\/core-8550jd4-qcs8550-ai-som","provider":"Ai-Paipai","version":"1.0","type":"link"}