{"id":848707,"date":"2025-05-07T18:16:00","date_gmt":"2025-05-07T22:16:00","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/"},"modified":"2025-05-07T18:16:00","modified_gmt":"2025-05-07T22:16:00","slug":"cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/","title":{"rendered":"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor"},"content":{"rendered":"<p>        <!--.bwalignc { text-align: center; list-style-position: inside }\n.bwalignr { text-align: right; list-style-position: inside }\n.bwlistdisc { list-style-type: disc }body {font:normal small Arial,Helvetica,sans-serif;color:#000;background-color:#fff;padding:24px;margin:0;} a img {border:0;} h3 {font-size:medium;color:#000;margin:0 0 1em 0; text-align:center;}-->  <\/p>\n<p class=\"bwalignc\"><b>Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor<\/b><\/p>\n<p class=\"bwalignc\"><i>New class of processor raises the bar for performance efficiency, delivering 30% area savings and 20% lower power<\/i><\/p>\n<p>SAN JOSE, Calif.&#8211;(<a href=\"http:\/\/www.businesswire.com\">BUSINESS WIRE<\/a>)&#8211;<br \/>\nCadence (Nasdaq: CDNS) today announced the Cadence<sup>\u00ae<\/sup> Tensilica<sup>\u00ae <\/sup>NeuroEdge 130 AI Co-Processor (AICP), a new class of processor designed to complement any neural processing unit (NPU) and enable end-to-end execution of the latest agentic and physical AI networks on advanced automotive, consumer, industrial and mobile SoCs. Based on the proven architecture of the highly successful Tensilica Vision DSP family, the NeuroEdge 130 AICP delivers more than 30% area savings and over 20% savings in dynamic power and energy without impacting performance. It also leverages the same software, AI compilers, libraries and frameworks to deliver faster time to market. Multiple customer engagements are currently underway, and customer interest is strong.\n<\/p>\n<p id=\"news-body-cta\">This press release features multimedia. View the full release here: <a href=\"https:\/\/www.businesswire.com\/news\/home\/20250507015536\/en\/\" rel=\"nofollow\">https:\/\/www.businesswire.com\/news\/home\/20250507015536\/en\/<\/a><\/p>\n<div id=\"bwbodyimg\" style=\"width: 480px;float:left;padding-left:0px;padding-right:20px;padding-top:0px;padding-bottom:0px\"><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2461950\/4\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg\" alt=\"The Cadence Tensilica NeuroEdge 130 AI Co-Processor is a new class of processor designed to complement any NPU and enable end-to-end execution of the latest agentic and physical AI networks.\" \/><\/p>\n<p style=\"font-size:85%\">The Cadence Tensilica NeuroEdge 130 AI Co-Processor is a new class of processor designed to complement any NPU and enable end-to-end execution of the latest agentic and physical AI networks.<\/p>\n<\/div>\n<p>\n\u201cWith the rapid proliferation of AI processing in physical AI applications such as autonomous vehicles, robotics, drones, industrial automation and healthcare, NPUs are assuming a more critical role,\u201d said Karl Freund, founder and principal analyst of Cambrian AI Research. \u201cToday, NPUs handle the bulk of the computationally intensive AI\/ML workloads, but a large number of non-MAC layers include pre- and post-processing tasks that are better offloaded to specialized processors. However, current CPU, GPU and DSP solutions involve tradeoffs, and the industry needs a low-power, high-performance solution that is optimized for co-processing and allows future proofing for rapidly evolving AI processing needs.\u201d\n<\/p>\n<p>\nFeaturing an extensible design that enables seamless compatibility with in-house NPUs, Cadence Neo<sup>\u2122<\/sup> NPUs and third-party NPU IP, the Tensilica NeuroEdge 130 AICP performs offloaded tasks with high performance and better efficiency than its application-specific predecessors. Taking the inherent power, performance and area (PPA) advantages of Tensilica DSPs to new levels, the NeuroEdge 130 AICP delivers over 30% area savings and a more than 20% reduction in dynamic power and energy with comparable performance to Tensilica Vision DSPs on AI networks and operators. Other benefits include:\n<\/p>\n<ul class=\"bwlistdisc\">\n<li>\nVLIW-based SIMD architecture with configurable options enables high performance and low power consumption\n<\/li>\n<li>\nIssues instructions and commands to the NPU as a control processor\n<\/li>\n<li>\nOptimized ISA and instructions run non-NPU optimal tasks such as ReLU, sigmoid, tanh and more\n<\/li>\n<li>\nProvides programmability, flexibility and future-readiness to the AI subsystem, allowing end-to-end execution of unseen and future AI workloads\n<\/li>\n<\/ul>\n<p>\n\u201cCadence has proven AI co-processor use cases with our Tensilica DSPs. With AI workloads transforming and becoming less domain-specific, our AI SoC and systems customers have been seeking a small and efficient AI-focused co-processor for better PPA and future-proofing,\u201d said Boyd Phelps, senior vice president and general manager of the Silicon Solutions Group at Cadence. \u201cContinuing our track record of IP innovations, we\u2019ve introduced a purpose-built new class of processor. Designed as an NPU companion, the Tensilica NeuroEdge 130 AICP raises the bar for performance efficiency to address our customers\u2019 most demanding AI applications.\u201d\n<\/p>\n<p>\n\u201cAI and computer vision are playing an important role in a growing range of embedded applications,\u201d said Jeff Bier, founder of the Edge AI and Vision Alliance. \u201cBut AI models and associated pre- and post-processing steps are evolving rapidly; for example, today many developers are adopting transformer-based multimodal models and LLM-based AI agents. We applaud Cadence\u2019s ongoing innovation in flexible and efficient processors, which are key to making edge AI and vision widely deployable.\u201d\n<\/p>\n<p>\nThe Tensilica NeuroEdge 130 AICP is supported by the Cadence NeuroWeave<sup>\u2122<\/sup> Software Development Kit (SDK), a single SDK used across all of Cadence\u2019s AI IP. Leveraging the Tensor Virtual Machine (TVM) stack, the NeuroWeave SDK is easy to use and allows architects to tune, optimize and deploy their AI models for Cadence\u2019s AI IP. The Tensilica NeuroEdge 130 AICP also comes equipped with a lightweight standalone AI library, allowing customers to directly program AI layers on the new processor and bypass potential overheads of some compiler frameworks.\n<\/p>\n<p><b>Customer and Partner Endorsements<\/b><\/p>\n<p>\n\u201cAs a leader in SoC solutions targeting the automotive market, indie focuses on SoC architecture innovation to deliver high performance with area and power efficiency. To achieve this, we integrate processing elements into our SoCs optimally suited to particular computational functions, ensuring that our solutions can meet the demands of ADAS systems for computer vision, radar and sensor fusion. indie has successfully deployed Tensilica DSPs in multiple production ADAS SoCs. We welcome the addition to Cadence\u2019s IP portfolio of the NeuroEdge AICP and supporting tools, software libraries and ecosystem to address evolving AI-enabled automotive applications.\u201d\n<\/p>\n<p class=\"bwalignr\"><i>Herv\u00e9 Brelay, Vice President of SW Engineering at indie<\/i><\/p>\n<p>\n\u201cMulticoreWare\u2019s longstanding partnership with Cadence has positioned us to support OEMs and Tier 1 partners deploying AI workloads in automotive and other edge environments. Through these collaborations, we\u2019ve observed firsthand how NPUs often fall short as a complete, standalone AI deployment solution. Building on Cadence\u2019s leadership in DSP technology, the new NeuroEdge AICP hardware and SDK elegantly address this gap. AI SoC modules built around the NeuroEdge AICP not only deliver peak performance for today\u2019s leading models but also offer the flexibility to accommodate future AI innovations.\u201d\n<\/p>\n<p class=\"bwalignr\"><i>Dr. John Stratton, CTO, MulticoreWare<\/i><\/p>\n<p>\n\u201cNeuchips is revolutionizing data centers and server farms with cutting-edge SoCs designed to handle the immense processing demands of large language models and transformers. As the SoC AI subsystems are frequently challenged with supporting pre- and post-processing stages, it is great to see that the NeuroEdge AICP is designed to manage such tasks. Cadence\u2019s mature Tensilica toolchain and software infrastructure help make it easy to integrate this new IP into complex SoC designs.\u201d\n<\/p>\n<p class=\"bwalignr\"><i>Ken Lau, CEO of Neuchips<\/i><\/p>\n<p><b>Availability<\/b><\/p>\n<p>\nThe Tensilica NeuroEdge 130 AICP is generally available now and is ISO 26262-ready for the automotive market. To learn more, visit the <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.cadence.com%2Fen_US%2Fhome%2Ftools%2Fsilicon-solutions%2Fai-ip-platform%2Ftensilica-neuroedge-ai-co-processor.html&amp;esheet=54250526&amp;newsitemid=20250507015536&amp;lan=en-US&amp;anchor=Cadence+Tensilica+NeuroEdge+130+AICP+landing+page&amp;index=1&amp;md5=f4335e7ea72dc310c9faa99c47fb5711\">Cadence Tensilica NeuroEdge 130 AICP landing page<\/a>.\n<\/p>\n<p><b>About Cadence<\/b><\/p>\n<p>\nCadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence\u2019s Intelligent System Design<sup>\u2122<\/sup> strategy, are essential for the world\u2019s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world\u2019s top 100 best-managed companies. Cadence solutions offer limitless opportunities\u2014learn more at <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.cadence.com%2F&amp;esheet=54250526&amp;newsitemid=20250507015536&amp;lan=en-US&amp;anchor=www.cadence.com&amp;index=2&amp;md5=d16662fa068e0f697c5b695496d1e16c\">www.cadence.com<\/a>.\n<\/p>\n<p><i>\u00a9 2025 Cadence Design Systems, Inc. All rights reserved worldwide. Cadence, the Cadence logo and the other Cadence marks found at <\/i><a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.cadence.com%2Fgo%2Ftrademarks&amp;esheet=54250526&amp;newsitemid=20250507015536&amp;lan=en-US&amp;anchor=www.cadence.com%2Fgo%2Ftrademarks&amp;index=3&amp;md5=7c96008d139d897197b9ab284408e16c\"><i>www.cadence.com\/go\/trademarks<\/i><\/a><i \/><i>are trademarks or registered trademarks of Cadence Design Systems, Inc. All other trademarks are the property of their respective owners.<\/i><\/p>\n<p>\nCategory: Featured\n<\/p>\n<p><img decoding=\"async\" alt=\"\" src=\"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&amp;sty=20250507015536r1&amp;sid=flmnd&amp;distro=nx&amp;lang=en\" style=\"width:0;height:0\" \/><span class=\"bwct31415\" \/><\/p>\n<p id=\"mmgallerylink\"><span id=\"mmgallerylink-phrase\">View source version on businesswire.com: <\/span><span id=\"mmgallerylink-link\"><a href=\"https:\/\/www.businesswire.com\/news\/home\/20250507015536\/en\/\" rel=\"nofollow\">https:\/\/www.businesswire.com\/news\/home\/20250507015536\/en\/<\/a><\/span><\/p>\n<p><b>For more information, please contact:<br \/>\n<\/b><br \/>Cadence Newsroom<br \/>\n<br \/>408-944-7039<br \/>\n<br \/><a rel=\"nofollow\" href=\"mailto:newsroom@cadence.com\">newsroom@cadence.com<\/a><\/p>\n<p><b>KEYWORDS:<\/b> United States North America California<\/p>\n<p><b>INDUSTRY KEYWORDS:<\/b> Technology Semiconductor Engineering Automotive Manufacturing Manufacturing Software Hardware Electronic Design Automation Artificial Intelligence<\/p>\n<p><b>MEDIA:<\/b><\/p>\n<table cellpadding=\"3\" cellspacing=\"3\">\n<tr>\n<td><font face=\"Arial\" size=\"2\"><b>Photo<\/b><\/font><\/td>\n<\/tr>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2461950\/3\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg\" alt=\"Photo\" \/><\/td>\n<\/tr>\n<tr>\n<td><font face=\"Arial\" size=\"2\">The Cadence Tensilica NeuroEdge 130 AI Co-Processor is a new class of processor designed to complement any NPU and enable end-to-end execution of the latest agentic and physical AI networks.<\/font><\/td>\n<\/tr>\n<tr>\n<td><font face=\"Arial\" size=\"2\"><b>Logo<\/b><\/font><\/td>\n<\/tr>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2132320\/3\/Cadence_logo_400x400.jpg\" alt=\"Logo\" \/><\/td>\n<\/tr>\n<tr>\n<td><font face=\"Arial\" size=\"2\"><\/font><\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor New class of processor raises the bar for performance efficiency, delivering 30% area savings and 20% lower power SAN JOSE, Calif.&#8211;(BUSINESS WIRE)&#8211; Cadence (Nasdaq: CDNS) today announced the Cadence\u00ae Tensilica\u00ae NeuroEdge 130 AI Co-Processor (AICP), a new class of processor designed to complement any neural processing unit (NPU) and enable end-to-end execution of the latest agentic and physical AI networks on advanced automotive, consumer, industrial and mobile SoCs. Based on the proven architecture of the highly successful Tensilica Vision DSP family, the NeuroEdge 130 AICP delivers more than 30% area savings and over 20% savings in dynamic power and energy without impacting performance. It also leverages the same software, &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-848707","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor New class of processor raises the bar for performance efficiency, delivering 30% area savings and 20% lower power SAN JOSE, Calif.&#8211;(BUSINESS WIRE)&#8211; Cadence (Nasdaq: CDNS) today announced the Cadence\u00ae Tensilica\u00ae NeuroEdge 130 AI Co-Processor (AICP), a new class of processor designed to complement any neural processing unit (NPU) and enable end-to-end execution of the latest agentic and physical AI networks on advanced automotive, consumer, industrial and mobile SoCs. Based on the proven architecture of the highly successful Tensilica Vision DSP family, the NeuroEdge 130 AICP delivers more than 30% area savings and over 20% savings in dynamic power and energy without impacting performance. It also leverages the same software, &hellip; Continue reading &quot;Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/\" \/>\n<meta property=\"og:site_name\" content=\"Market Newsdesk\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-07T22:16:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2461950\/4\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg\" \/>\n<meta name=\"author\" content=\"Newsdesk\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Newsdesk\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/\"},\"author\":{\"name\":\"Newsdesk\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#\\\/schema\\\/person\\\/482f27a394d4fda80ecb5499e519d979\"},\"headline\":\"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor\",\"datePublished\":\"2025-05-07T22:16:00+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/\"},\"wordCount\":1236,\"image\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/mms.businesswire.com\\\/media\\\/20250507015536\\\/en\\\/2461950\\\/4\\\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/\",\"url\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/\",\"name\":\"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor - Market Newsdesk\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/mms.businesswire.com\\\/media\\\/20250507015536\\\/en\\\/2461950\\\/4\\\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg\",\"datePublished\":\"2025-05-07T22:16:00+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#\\\/schema\\\/person\\\/482f27a394d4fda80ecb5499e519d979\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/#primaryimage\",\"url\":\"https:\\\/\\\/mms.businesswire.com\\\/media\\\/20250507015536\\\/en\\\/2461950\\\/4\\\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg\",\"contentUrl\":\"https:\\\/\\\/mms.businesswire.com\\\/media\\\/20250507015536\\\/en\\\/2461950\\\/4\\\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#website\",\"url\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/\",\"name\":\"Market Newsdesk\",\"description\":\"Latest Business News in Real Time\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#\\\/schema\\\/person\\\/482f27a394d4fda80ecb5499e519d979\",\"name\":\"Newsdesk\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g\",\"caption\":\"Newsdesk\"},\"url\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/author\\\/newsdesk\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor - Market Newsdesk","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/","og_locale":"en_US","og_type":"article","og_title":"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor - Market Newsdesk","og_description":"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor New class of processor raises the bar for performance efficiency, delivering 30% area savings and 20% lower power SAN JOSE, Calif.&#8211;(BUSINESS WIRE)&#8211; Cadence (Nasdaq: CDNS) today announced the Cadence\u00ae Tensilica\u00ae NeuroEdge 130 AI Co-Processor (AICP), a new class of processor designed to complement any neural processing unit (NPU) and enable end-to-end execution of the latest agentic and physical AI networks on advanced automotive, consumer, industrial and mobile SoCs. Based on the proven architecture of the highly successful Tensilica Vision DSP family, the NeuroEdge 130 AICP delivers more than 30% area savings and over 20% savings in dynamic power and energy without impacting performance. It also leverages the same software, &hellip; Continue reading \"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor\"","og_url":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/","og_site_name":"Market Newsdesk","article_published_time":"2025-05-07T22:16:00+00:00","og_image":[{"url":"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2461950\/4\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg","type":"","width":"","height":""}],"author":"Newsdesk","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Newsdesk","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/#article","isPartOf":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/"},"author":{"name":"Newsdesk","@id":"https:\/\/www.marketnewsdesk.com\/#\/schema\/person\/482f27a394d4fda80ecb5499e519d979"},"headline":"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor","datePublished":"2025-05-07T22:16:00+00:00","mainEntityOfPage":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/"},"wordCount":1236,"image":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/#primaryimage"},"thumbnailUrl":"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2461950\/4\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg","inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/","url":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/","name":"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor - Market Newsdesk","isPartOf":{"@id":"https:\/\/www.marketnewsdesk.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/#primaryimage"},"image":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/#primaryimage"},"thumbnailUrl":"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2461950\/4\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg","datePublished":"2025-05-07T22:16:00+00:00","author":{"@id":"https:\/\/www.marketnewsdesk.com\/#\/schema\/person\/482f27a394d4fda80ecb5499e519d979"},"breadcrumb":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/#primaryimage","url":"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2461950\/4\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg","contentUrl":"https:\/\/mms.businesswire.com\/media\/20250507015536\/en\/2461950\/4\/J45066_Tensilica_NeuroEdge_Press_Image_400x400_NoLogo.jpg"},{"@type":"BreadcrumbList","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/cadence-accelerates-physical-ai-applications-with-tensilica-neuroedge-130-ai-co-processor\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.marketnewsdesk.com\/"},{"@type":"ListItem","position":2,"name":"Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor"}]},{"@type":"WebSite","@id":"https:\/\/www.marketnewsdesk.com\/#website","url":"https:\/\/www.marketnewsdesk.com\/","name":"Market Newsdesk","description":"Latest Business News in Real Time","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.marketnewsdesk.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.marketnewsdesk.com\/#\/schema\/person\/482f27a394d4fda80ecb5499e519d979","name":"Newsdesk","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g","caption":"Newsdesk"},"url":"https:\/\/www.marketnewsdesk.com\/index.php\/author\/newsdesk\/"}]}},"_links":{"self":[{"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/posts\/848707","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/comments?post=848707"}],"version-history":[{"count":0,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/posts\/848707\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/media?parent=848707"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/categories?post=848707"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/tags?post=848707"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}