{"product_id":"icore-3576q-low-power-industrial-aiot-core-board","title":"iCore-3576Q AIOT System on Module RK3576","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\u003eiCore-3576Q AIOT System on Module RK3576\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Soc: Rockchip RK3576 · Ai performance: Support the privatization deployment of… · Storage: eMMC (16GB\/32GB\/64GB\/128GB\/256GB optional), UFS2.0… · Video output: 1 × HDMI2.1(4096×2160@120Hz)\/eDP1.3(4096×2160@60Hz,… · Interface type: BTB (2 × BTB Socket(80Pin) + 2 × BTB Socket(100Pin)). Typical applications: edge AI inference, machine vision and IoT gateway deployments. 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 Rockchip RK3576-powered iCore-3576Q is an octa-core 64-bit AIoT processor with an ARM Mali G52 MC3 GPU and a 6 TOPS NPU, enabling high-performance AI computing and low power consumption. It supports 4K@120fps decoding, 4K@60fps encoding, and private large model deployment, ideal for industrial AI applications. Featuring industrial-grade stability, a BTB interface, and external watchdog support, it ensures reliable 4K@120fps display output for embedded and edge computing solutions.\u003c\/p\u003e \u003cul\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/iCore-3576Q_iCore-3576JQ_Specification_EN.pdf?v=1752562637\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Wiki: \u003ca href=\"https:\/\/wiki.t-firefly.com\/en\/iCore-3576Q\/index.html\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003eHigh-performance AIOT Processor RK3576: \u003c\/strong\u003eRockchip RK3576 AIoT Processor – An octa-core 64-bit powerhouse with big.LITTLE architecture (4×A72 + 4×A53 @2.2GHz), advanced lithography, and high-performance computing. Equipped with a Mali-G52 MC3 GPU (145G FLOPS) for efficient graphics processing, it delivers robust multitasking and AI acceleration for embedded and edge AI applications.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eThe Private Deployment of Large Models: \u003c\/strong\u003eLarge language models such as LLaMa2, ChatGLM, and Qwen. Traditional network architectures, Docker container.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003e4K@120fps High Frame Rate Video Decoding: \u003c\/strong\u003eSupports 4K@120fps decoding (VP9, AVS2, AV1), 4K@60fps decoding (H.264\/AVC), 4K@60fps encoding (H.264\/AVC), and provides HDMI 2.1 (4K@120fps)\/eDP1.3 (4K@60fps), DP1.4 (4K@120fps).\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eUFS 2.0 with A Data Read Speed of 12Gbps: \u003c\/strong\u003eThe device supports UFS 2.0 \/ HS-G3 (12 Gbps), ensuring efficient data storage and access. PCIe NVMe \/ SATA SSD expansion provides fast data read and write speeds, allowing the device to be easily expanded to TB-level storage capacity.\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eHardware Overview\u003c\/strong\u003e\u003c\/h2\u003e \u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/icore-3576q.webp?v=1752562550\" alt=\"\"\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\"\u003eAi performance\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eSupport the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Gemma-2B, ChatGLM3-6B, Qwen-1.8B, Phi-3-3.8B, and other large language models.\nIt supports traditional network architectures such as CNN, RNN, and LSTM, and supports the import and export of RKNN models;\nSupport a variety of deep learning frameworks, including TensorFlow, TensorFlow Lite, PyTorch, Caffe, ONNX, and Darknet. It also supports the development of custom operators.\nSupport Docker container management technology.\nIt supports the real-time object detection algorithm YOLO (You Only Look Once),\nwhich is fast and real-time compared with traditional object detection methods, and can accurately identify and locate multiple target objects in images or videos, powering AI applications.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSoc\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eRockchip RK3576\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eOcta-core 64-bit processor (4×A72 + 4×A53)\nwith a maximum frequency of 2.2GHz\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eGpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eG52 MC3@1GHz, support OpenGL ES 1.1\/2.0\/3.2, OpenCL 2.0, Vulkan 1.1, embedded with high-performance 2D acceleration hardware\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eNpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e6 TOPS NPU, It supports INT4\/INT8\/INT16\/FP16\/BF16\/TF32 operations, supports dual-core collaborative or independent work, and supports multi-task and multi-scene parallelism\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eeMMC (16GB\/32GB\/64GB\/128GB\/256GB optional), UFS2.0 (Optional)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePcie\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × PCIe 2.1\/SATA 3.1\/USB 3.2 Gen1 Combo interfaces\n1 × PCIe 2.1\/SATA 3.1 Combo interfaces\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSata\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × PCIe 2.1\/SATA 3.1\/USB 3.2 Gen1 Combo interfaces\n1 × PCIe 2.1\/SATA 3.1 Combo interfaces\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e5.0V (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\"\u003eMax: 4.5W(5V\/900mA)\nNormal: 0.5W(5V\/100mA)\nMin: 0.045W(5V\/9mA)\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 × HDMI2.1(4096×2160@120Hz)\/eDP1.3(4096×2160@60Hz, supports 1Lane\/2Lane\/4Lane modes)\n1 × DP1.4 (4096×2160@120Hz)\n1 × EBC Output interface (support E-ink EPD (Electronic Paper Display), 2560×1920)\n1 × MIPI_DCPHY_TX (Supports V2.0 version and 0\/1\/2\/3 Lane mode; C-PHY supports V1.1 version and 0\/1\/2 Trio mode; 2560×1600@60Hz)\n1 × LCDC TX (Supports parallel 24 bit RGB mode) 1920×1080@60Hz 16 bit BT1120 mode 1920×1080@60Hz 8-bit BT656 mode 720×576@60Hz And MCU mode)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eVideo input\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e2 × MIPI DPHY CSI (Supports MIPI V1.2 version; 1 × 4 Lanes or 2 × 2 Lanes)\n1 × MIPI DCPHY CSI RX (DPHY supports V2.0 version with 4Lane\/2Lane\/1Lane modes; CPHY supports V1.1 version with 0\/1\/2 Trio modes)\n1 × DVP (8\/10\/12\/16-bit, BT.601\/BT.656 and BT.1120)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAudio output\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × HDMI2.1(4096×2160@120Hz)\/eDP1.3(4096×2160@60Hz, supports 1Lane\/2Lane\/4Lane modes)\n1 × DP1.4 (4096×2160@120Hz)\n1 × EBC Output interface (support E-ink EPD (Electronic Paper Display), 2560×1920)\n1 × MIPI_DCPHY_TX (Supports V2.0 version and 0\/1\/2\/3 Lane mode; C-PHY supports V1.1 version and 0\/1\/2 Trio mode; 2560×1600@60Hz)\n1 × LCDC TX (Supports parallel 24-bit RGB mode) 1920×1080@60Hz 16-bit BT1120 mode 1920×1080@60Hz 8-bit BT656 mode 720×576@60Hz And MCU mode)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAudio output\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × HDMI2.1(4096×2160@120Hz)\/eDP1.3(4096×2160@60Hz, supports 1Lane\/2Lane\/4Lane modes)\n1 × DP1.4 (4096×2160@120Hz)\n1 × EBC Output interface (support E-ink EPD (Electronic Paper Display), 2560×1920)\n1 × MIPI_DCPHY_TX (Supports V2.0 version and 0\/1\/2\/3 Lane mode; C-PHY supports V1.1 version and 0\/1\/2 Trio mode; 2560×1600@60Hz)\n1 × LCDC TX (Supports parallel 24-bit RGB mode) 1920×1080@60Hz 16-bit BT1120 mode 1920×1080@60Hz 8-bit BT656 mode 720×576@60Hz And MCU mode)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAudio\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e2 × SAI (4T\/4R), 3 × SAI (1T\/1R), supports I2S\/TDM\/PCM mode, and supports sampling rates up to 192KHz\n2 × SPDIF TX \u0026amp; RX (8ch; Supports up to 24bits resolution)\n2 × PDM (Up to 8 channels, audio resolution 16~24 bits, sample rate up to 192KHz, support PDM master receive mode)\n2 × DSM (Double-rate interface supported; Supports 8-wire and 16-wire serial transmission modes; DSMC_CLKP\/N up to 100MHz)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eIt supports the RTLinux kernel and has excellent real-time performance, which is widely used in industrial application scenarios.\nSupport Android14, Linux OS, Buildroot, and domestic operating systems, providing a safe and stable system environment for product research and production.\nIt has new industrial features such as a real-time network, Flexbus, hardware resource isolation, and DSMC to meet the needs of different industrial applications.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e60.00 mm × 42.95 mm × 5.68 mm\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e≈15g\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℃\nStorage Humidity: 10%~90%RH (non-condensing)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eWatchdog\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eExternal watchdog support (on-board watchdog IC)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eInternet\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e2 × GMAC (providing RMII or RGMII interfaces to connect external Ethernet PHY);\nSupports 10\/100\/1000 Mbps speeds), expandable WiFi, Bluetooth, 4G, 5G through USB, PCIE, SDIO, UART\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eInterface type\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eBTB (2 × BTB Socket(80Pin) + 2 × BTB Socket(100Pin))\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × USB3.2 Gen1 OTG0 (multiplexed with DP1.4)\n1 × USB3.2 Gen1 OTG1 (multiplexed with PCIe 2.1\/SATA 3.1)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eCan\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e2 × CAN FD (Supports 8192 bit receive FIFO)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eI2c\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e10 × I2C (Supports 7-bit and 10-bit address modes, data rates up to 100kbps in standard mode and up to 400kbps in fast mode)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eProduct tutorials\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSdk software and firmware files\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\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 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