{"id":17584,"date":"2026-05-14T09:30:59","date_gmt":"2026-05-14T07:30:59","guid":{"rendered":"https:\/\/quantum.com.pl\/amd-ryzen-ai-embedded-p100-supported-by-trace32\/"},"modified":"2026-05-13T11:28:14","modified_gmt":"2026-05-13T09:28:14","slug":"amd-ryzen-ai-embedded-p100-supported-by-trace32","status":"publish","type":"post","link":"https:\/\/quantum.com.pl\/en\/amd-ryzen-ai-embedded-p100-supported-by-trace32\/","title":{"rendered":"AMD Ryzen™ AI Embedded P100 SUPPORTED BY TRACE32\u00ae"},"content":{"rendered":"

Lauterbach TRACE32\u00ae Tool Support Accelerates Development on AMD Ryzen™ AI Embedded P100 Series Processors<\/strong><\/p>\n

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Lauterbach\u2019s TRACE32\u00ae development solutions now support AMD Ryzen™ AI Embedded P100 Series Processor. Targeting automotive applications and physical AI, P100 Series processors enabledeterministic performance for demanding workloads. TRACE32\u00ae tool support includes simultaneous debugging of AMD \u201cZen 5\u201d CPU cores. It also supports heterogeneous debugging together with Arm\u00ae cores in AMD Versal™ or Zynq™ adaptive SoCs. <\/em><\/strong><\/p>\n

AMD Ryzen™ AI Embedded P100 Series processors deliver the flexibility and performance that industrial and automotive designers need, with system partitioning, precise resource allocation, and deterministic latency for mission-critical physical AI, DSP, and math workloads. The 4- to 12-core products are offered in ruggedized, long-life platforms, offering a virtualized software stack for control and customization in production-ready systems.<\/p>\n

Lauterbach\u2019s TRACE32\u00ae supports hardware-accelerated SMP (Symetric Multiprocessing) debugging and real-time on-chip tracing of all the \u201cZen 5\u201d x86 CPUs implemented in the P100 Series processors. It also supports heterogeneous and synchronized AMP (Asymetric Multiprocessing) debugging of the processors together with Arm\u00ae cores implemented in AMD Versal™ and Zynq™ devices. This is achieved using a TRACE32\u00ae CombiProbe with two connected probes, which enable easy multi-chip access, a unique solution in the entire tool industry.<\/p>\n

TRACE32\u00ae solutions consist of the universal PowerView debugging and tracing software as well as debug accelerator modules. Lauterbach\u2019s intelligent PowerDebug modules provide highest download speeds and smallest response times for efficient debugging and test automation.<\/p>\n

\u201cAMD Ryzen™ AI Embedded P100 Series processors provide precise, efficient, and reliable performance for industrial, automotive, physical AI, and other demanding applications,\u201d<\/em> says Stephan Lauterbach, Co-Founder and CTO at Lauterbach GmbH. \u201cWith Lauterbach\u2019s TRACE32\u00ae support, developers gain powerful debug and trace capabilities across heterogeneous AMD platforms, helping accelerate bring-up, software development, and time to market.”<\/em><\/p>\n

\u201cP100 Series processors provide scalable, deterministic compute for mission-critical industrial, automotive, and physical AI deployments,\u201d<\/em> said Martin Charron, Senior Director of Technical Marketing at AMD. \u201cWith Lauterbach\u2019s TRACE32\u00ae support – spanning SMP debug, real-time trace, and synchronized heterogeneous bring-up – customers can accelerate development and shorten time to production with confidence.\u201c<\/em><\/p>\n

HERE<\/a><\/strong> you can find more details about Lauterbach\u2019s comprehensive support for homogeneous and heterogeneous multicore debugging.<\/p>\n","protected":false},"excerpt":{"rendered":"

Lauterbach TRACE32\u00ae Tool Support Accelerates Development on AMD Ryzen™ AI Embedded P100 Series Processors     Lauterbach\u2019s TRACE32\u00ae development solutions now support AMD Ryzen™ AI Embedded P100 Series Processor. Targeting automotive applications and physical AI, P100 Series processors enabledeterministic performance for demanding workloads. TRACE32\u00ae tool support includes simultaneous debugging of AMD \u201cZen 5\u201d CPU cores. […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1653],"tags":[],"class_list":["post-17584","post","type-post","status-publish","format-standard","hentry","category-news-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/posts\/17584","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/comments?post=17584"}],"version-history":[{"count":3,"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/posts\/17584\/revisions"}],"predecessor-version":[{"id":17587,"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/posts\/17584\/revisions\/17587"}],"wp:attachment":[{"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/media?parent=17584"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/categories?post=17584"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/quantum.com.pl\/en\/wp-json\/wp\/v2\/tags?post=17584"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}