{"id":1302,"date":"2023-06-14T11:09:03","date_gmt":"2023-06-14T08:09:03","guid":{"rendered":"https:\/\/aivolga.com\/?page_id=1302"},"modified":"2023-07-31T01:55:47","modified_gmt":"2023-07-30T22:55:47","slug":"vp10304-quad-amp-pcie-card","status":"publish","type":"page","link":"https:\/\/aivolga.com\/?page_id=1302","title":{"rendered":"VP10304 Quad-AMP PCIe Card"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1302\" class=\"elementor elementor-1302\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-72eab73 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"72eab73\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-f288473 elementor-invisible\" data-id=\"f288473\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-67b6d351 elementor-widget elementor-widget-heading\" data-id=\"67b6d351\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\"><span style=\"color:#12b39b\">VP10304 Quad-AMP PCIe Card<\/span><\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c027c0 elementor-widget elementor-widget-heading\" data-id=\"0c027c0\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Overview<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fd38ade elementor-widget elementor-widget-text-editor\" data-id=\"6fd38ade\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The Volga VP10304 Quad-AMP PCIe card enables high performance, power efficient AI inference for edge devices and servers. The half-height, half-length (HHHL) PCIe card simplifies the integration effort into platforms where space is a constraint. The VP10304 features four M1076 Volga Analog Matrix Processors (Volga AMP\u2122), delivering up to 100 TOPs of AI performance and supporting up to 320 million weights for complex AI workloads at less than 25W of power. Large DNN models can be deployed on the VP10304 PCIe card using the combined AI compute of the four M1076 AMPs. The VP10304 can also run a variety of smaller DNN models for video analytics applications processing images from multiple cameras.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-6921bbc elementor-invisible\" data-id=\"6921bbc\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0de4434 elementor-widget elementor-widget-image\" data-id=\"0de4434\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/2_11.png\" title=\"2_11\" alt=\"2_11\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9cbe3f3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9cbe3f3\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-25db827 elementor-hidden-mobile elementor-invisible\" data-id=\"25db827\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-284a227 elementor-hidden-desktop elementor-hidden-tablet elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"284a227\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cf01a5e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cf01a5e\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-aa4d312 elementor-invisible\" data-id=\"aa4d312\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c3f4db2 elementor-widget elementor-widget-heading\" data-id=\"c3f4db2\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\"><span>Features<\/span><\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f633f28 elementor-widget elementor-widget-text-editor\" data-id=\"f633f28\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul style=\"padding-left: 15px;\"><li style=\"text-align: left;\">Four M1076 Volga AMPs<\/li><li style=\"text-align: left;\">AI compute performance of up to 100 TOPs<\/li><li style=\"text-align: left;\">No external DRAM required<\/li><li style=\"text-align: left;\">Support for industry standard AI frameworks<\/li><li style=\"text-align: left;\">Pre-qualified networks including object detection, classification, pose estimation, depth estimation, and image segmentation networks<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-84abff1 elementor-invisible\" data-id=\"84abff1\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ec72c26 elementor-widget elementor-widget-text-editor\" data-id=\"ec72c26\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul style=\"padding-left: 15px;\"><li style=\"text-align: left;\">Support for up to 320 million weights on-chip<\/li><li style=\"text-align: left;\">On-chip storage of model parameters<\/li><li style=\"text-align: left;\">4-lane PCIe 3.0 for up to 3.9GB\/s bandwidth<\/li><li style=\"text-align: left;\">OS Support: Ubuntu, NVIDIA L4T, and Windows (future release)<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-59786a5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"59786a5\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-adc0641 elementor-hidden-mobile elementor-invisible\" data-id=\"adc0641\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2f185cd elementor-hidden-desktop elementor-hidden-tablet elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"2f185cd\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-977b95f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"977b95f\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-b5668eb elementor-invisible\" data-id=\"b5668eb\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1569208 elementor-widget elementor-widget-heading\" data-id=\"1569208\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\"><span>Workflow<\/span><\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bd6ab4f elementor-widget elementor-widget-text-editor\" data-id=\"bd6ab4f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>DNN models developed in standard frameworks such as Pytorch, Caffe, and TensorFlow are implemented and deployed on the Volga Analog Matrix Processor (Volga AMPTM) using Volga\u2019s AI software workflow. Models are optimized, quantized from FP32 to INT8, and then retrained for the Volga Analog Compute Engine (Volga ACETM) prior to being processed through Volga\u2019s powerful graph compiler. Resultant binaries and model weights are then programmed into the Volga AMP for inference. Pre-qualified models are also available for developers to quickly evaluate the Volga AMP solution.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-df43a85 elementor-invisible\" data-id=\"df43a85\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4feb655 elementor-widget elementor-widget-image\" data-id=\"4feb655\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/VolgaAI-Software-Flow.jpg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"VolgaAI-Software-Flow\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTQ4NSwidXJsIjoiaHR0cHM6XC9cL2Fpdm9sZ2EuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIzXC8wNlwvVm9sZ2FBSS1Tb2Z0d2FyZS1GbG93LmpwZyJ9\">\n\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/VolgaAI-Software-Flow.jpg\" title=\"VolgaAI-Software-Flow\" alt=\"VolgaAI-Software-Flow\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3f9166df elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3f9166df\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1c7d6ae3 elementor-hidden-mobile elementor-invisible\" data-id=\"1c7d6ae3\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-362cc7c8 elementor-hidden-desktop elementor-hidden-tablet elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"362cc7c8\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c7f4325 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c7f4325\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6f765ad elementor-invisible\" data-id=\"6f765ad\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9ac47d7 elementor-widget elementor-widget-heading\" data-id=\"9ac47d7\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">DNN Model Library<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7bfd597 elementor-widget elementor-widget-text-editor\" data-id=\"7bfd597\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Volga provides a library of pre-qualified DNN models for the most popular AI use cases. The DNN models have been optimized to take advantage of the high-performance and low-power capabilities of the Volga Analog Matrix Processor (Volga AMPTM). Developers can focus on model performance and end-application integration instead of the time-consuming model development and training process. Available pre-qualified DNN models include:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0e3b034 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0e3b034\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-6d70784\" data-id=\"6d70784\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f7dc690 elementor-widget elementor-widget-image\" data-id=\"f7dc690\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Object_detector_board_1-1024x667-1.jpg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"Object_detector_board_1-1024x667\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTUxNCwidXJsIjoiaHR0cHM6XC9cL2Fpdm9sZ2EuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIzXC8wNlwvT2JqZWN0X2RldGVjdG9yX2JvYXJkXzEtMTAyNHg2NjctMS5qcGcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"521\" src=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Object_detector_board_1-1024x667-1.jpg\" class=\"attachment-large size-large wp-image-1514\" alt=\"\" srcset=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Object_detector_board_1-1024x667-1.jpg 1024w, https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Object_detector_board_1-1024x667-1-300x195.jpg 300w, https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Object_detector_board_1-1024x667-1-768x500.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5341239 elementor-widget elementor-widget-text-editor\" data-id=\"5341239\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span style=\"color: #000000;\">Object Detection and Classification YOLOv3, YOLOv5, ResNet-50, ResNet-18<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-8754990\" data-id=\"8754990\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-42bf9cf elementor-widget elementor-widget-image\" data-id=\"42bf9cf\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/downtown_detector-898x1024-1.jpg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"downtown_detector-898x1024\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTUxMywidXJsIjoiaHR0cHM6XC9cL2Fpdm9sZ2EuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIzXC8wNlwvZG93bnRvd25fZGV0ZWN0b3ItODk4eDEwMjQtMS5qcGcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/downtown_detector-898x1024-1.jpg\" title=\"downtown_detector-898&#215;1024\" alt=\"Object Detection and Classification YOLOv3, YOLOv5, ResNet-50, ResNet-18\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b8db95a elementor-widget elementor-widget-text-editor\" data-id=\"b8db95a\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span style=\"color: #000000;\">Object Detection and Classification YOLOv3, YOLOv5, ResNet-50, ResNet-18<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-9aa849f\" data-id=\"9aa849f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a002cac elementor-widget elementor-widget-image\" data-id=\"a002cac\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Room-Segmentation_v2-1024x813-1.jpg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"Room-Segmentation_v2-1024x813\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTUxMiwidXJsIjoiaHR0cHM6XC9cL2Fpdm9sZ2EuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIzXC8wNlwvUm9vbS1TZWdtZW50YXRpb25fdjItMTAyNHg4MTMtMS5qcGcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"635\" src=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Room-Segmentation_v2-1024x813-1.jpg\" class=\"attachment-large size-large wp-image-1512\" alt=\"\" srcset=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Room-Segmentation_v2-1024x813-1.jpg 1024w, https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Room-Segmentation_v2-1024x813-1-300x238.jpg 300w, https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Room-Segmentation_v2-1024x813-1-768x610.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-063c1fe elementor-widget elementor-widget-text-editor\" data-id=\"063c1fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"Standard\" style=\"text-align: center;\"><span lang=\"EN-GB\" style=\"color: #000000;\">Scene Segmentation SegNet<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-6a4d4b6\" data-id=\"6a4d4b6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2d2b4a5 elementor-widget elementor-widget-image\" data-id=\"2d2b4a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Human-pose-estimator-1024x683-2.jpg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"asian soccer players playing on field\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTUxNSwidXJsIjoiaHR0cHM6XC9cL2Fpdm9sZ2EuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIzXC8wNlwvSHVtYW4tcG9zZS1lc3RpbWF0b3ItMTAyNHg2ODMtMi5qcGcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Human-pose-estimator-1024x683-2.jpg\" class=\"attachment-large size-large wp-image-1515\" alt=\"\" srcset=\"https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Human-pose-estimator-1024x683-2.jpg 1024w, https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Human-pose-estimator-1024x683-2-300x200.jpg 300w, https:\/\/aivolga.com\/wp-content\/uploads\/2023\/06\/Human-pose-estimator-1024x683-2-768x512.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64a4cf1 elementor-widget elementor-widget-text-editor\" data-id=\"64a4cf1\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"Standard\" style=\"text-align: center;\"><span lang=\"EN-GB\" style=\"color: #000000;\">Human Pose Estimator OpenPose Body25<\/span><\/p><p style=\"text-align: center;\"><span style=\"color: #000000;\">\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>VP10304 Quad-AMP PCIe Card Overview The Volga VP10304 Quad-AMP PCIe card enables high performance, power efficient AI inference for edge devices and servers. The half-height, half-length (HHHL) PCIe card simplifies the integration effort into platforms where space is a constraint. The VP10304 features four M1076 Volga Analog Matrix Processors (Volga AMP\u2122), delivering up to 100 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":486,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1302","page","type-page","status-publish","hentry"],"lang":"en","translations":{"en":1302,"ru":1534},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/aivolga.com\/index.php?rest_route=\/wp\/v2\/pages\/1302","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aivolga.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aivolga.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aivolga.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aivolga.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1302"}],"version-history":[{"count":81,"href":"https:\/\/aivolga.com\/index.php?rest_route=\/wp\/v2\/pages\/1302\/revisions"}],"predecessor-version":[{"id":2742,"href":"https:\/\/aivolga.com\/index.php?rest_route=\/wp\/v2\/pages\/1302\/revisions\/2742"}],"up":[{"embeddable":true,"href":"https:\/\/aivolga.com\/index.php?rest_route=\/wp\/v2\/pages\/486"}],"wp:attachment":[{"href":"https:\/\/aivolga.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1302"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}