{"id":2393,"date":"2022-08-04T10:20:19","date_gmt":"2022-08-04T10:20:19","guid":{"rendered":"https:\/\/www.mixtile.com\/?post_type=product&#038;p=2393"},"modified":"2025-11-18T06:28:27","modified_gmt":"2025-11-18T06:28:27","slug":"core-3588e","status":"publish","type":"product","link":"https:\/\/www.mixtile.com\/zh\/store\/som\/core-3588e\/","title":{"rendered":"\u6838\u5fc3 3588E"},"content":{"rendered":"<p>Mixtile Core 3588E is a compact system-on-module based on RK3588, 260 pin edge connector in small form factor (69.6 x 45 mm). All Pins are compatible with Nvidia Jetson TX2 NX. It has built-in NPU and AI performance is up to 6 TOPS. With its strong compatibility, network models based on a series of frameworks such as TensorFlow\/MXNet\/PyTorch\/Caffe can be easily converted.<\/p>","protected":false},"excerpt":{"rendered":"<p>\u57fa\u4e8e RK3588 \u7684 8 \u6838 CPU 4 \u6838 GPU \u7cfb\u7edf\u7ea7\u6a21\u5757\uff0c260 \u5f15\u811a\u8fb9\u7f18\u8fde\u63a5\u5668\uff0c\u5916\u5f62\u5c0f\u5de7\uff0869.6 x 45 \u6beb\u7c73\uff09\u3002<\/p>\n<p>All Pins are compatible with NVIDIA Jetson TX2 NX.<\/p>\n<p>Up to 6 TOPs AI Performance, supports Large Language Model (LLM) such as GPT, LLaMA, ChatGLM, and Bloom. It also enables multi-chip parallel acceleration for handling very large model inferences.<\/p>\n<p>\u9177\u777f 3588E \u6563\u70ed\u5668\u662f\u9177\u777f 3588E SoM \u4e13\u7528\u7684\u6563\u70ed\u98ce\u6247\u3002<\/p>\n<p>&nbsp;<\/p>","protected":false},"featured_media":4410,"template":"","meta":[],"product_brand":[],"product_cat":[37],"product_tag":[],"class_list":["post-2393","product","type-product","status-publish","has-post-thumbnail","product_cat-som","product_shipping_class-circuit-board","first","outofstock","featured","shipping-taxable","purchasable","product-type-variable"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Core 3588E | Mixtile<\/title>\n<meta name=\"description\" content=\"RK3588\u00a0based 8-Core CPU 4-Core GPU system-on-module, 260 pin edge connector in small form factor (69.6\u00a0x 45\u00a0mm).\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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