{"id":25866,"date":"2026-06-25T00:30:00","date_gmt":"2026-06-24T22:30:00","guid":{"rendered":"http:\/\/stocks-future.com\/?guid=27c819d42d1f792676cb8affd2d5dea7"},"modified":"2026-06-25T00:30:00","modified_gmt":"2026-06-24T22:30:00","slug":"qualcomm-unveils-comprehensive-data-center-roadmap-for-the-agentic-ai-era-with-new-qualcomm-dragonfly-portfolio","status":"publish","type":"post","link":"https:\/\/stocks-future.com\/?p=25866","title":{"rendered":"Qualcomm Unveils Comprehensive Data Center Roadmap for the Agentic AI Era with New Qualcomm Dragonfly Portfolio"},"content":{"rendered":"<p>NEW YORK--(BUSINESS WIRE)--Qualcomm Technologies, Inc. (NASDAQ: QCOM):<\/p><br\/><a href=\"https:\/\/mms.businesswire.com\/media\/20260624731900\/en\/2838686\/5\/Dragonflyhero.jpg\"><img src=\"https:\/\/mms.businesswire.com\/media\/20260624731900\/en\/2838686\/22\/Dragonflyhero.jpg\" \/><\/a><br\/><a href=\"https:\/\/mms.businesswire.com\/media\/20260624731900\/en\/2838686\/5\/Dragonflyhero.jpg\"><img src=\"https:\/\/mms.businesswire.com\/media\/20260624731900\/en\/2838686\/21\/Dragonflyhero.jpg\" \/><\/a><br\/><a href=\"https:\/\/mms.businesswire.com\/media\/20260624731900\/en\/2310939\/5\/Qualcomm_Logo.jpg\"><img src=\"https:\/\/mms.businesswire.com\/media\/20260624731900\/en\/2310939\/22\/Qualcomm_Logo.jpg\" \/><\/a><br\/><a href=\"https:\/\/mms.businesswire.com\/media\/20260624731900\/en\/2310939\/5\/Qualcomm_Logo.jpg\"><img src=\"https:\/\/mms.businesswire.com\/media\/20260624731900\/en\/2310939\/21\/Qualcomm_Logo.jpg\" \/><\/a><p>\n<b>Highlights:<\/b><\/p><ul class=\"bwlistdisc\">\n<li>\nIntroducing new data center solutions, including the Qualcomm Dragonfly <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fdata-center%2Fproducts%2Fqualcomm-dragonfly-c1000&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=C1000+CPU&amp;index=1&amp;md5=3fb2e9b0cbfbe1867ea10cb94346a5e8\" rel=\"nofollow\" shape=\"rect\">C1000 CPU<\/a>, Qualcomm High Bandwidth Compute (HBC), Qualcomm Dragonfly <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fdata-center%2Fproducts%2Fqualcomm-dragonfly-ai300&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=AI300+inference+accelerator&amp;index=2&amp;md5=b511a711876d3f1ccc3cba9dd3657e23\" rel=\"nofollow\" shape=\"rect\">AI300 inference accelerator<\/a>, and leading connectivity products, together with custom silicon solutions.<\/li>\n<li>\nQualcomm Dragonfly AI300 joins <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fdata-center%2Fproducts%2Fqualcomm-dragonfly-ai200&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=AI200&amp;index=3&amp;md5=2a6f39cd26e603494dd28a09165eec15\" rel=\"nofollow\" shape=\"rect\">AI200<\/a> and <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fdata-center%2Fproducts%2Fqualcomm-dragonfly-ai250&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=AI250&amp;index=4&amp;md5=57b05678183bec474be72f05b153613f\" rel=\"nofollow\" shape=\"rect\">AI250<\/a> in our multi-generation AI accelerator roadmap with an annual cadence.<\/li>\n<li>\nNew Qualcomm <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fdata-center%2Fexpertise%2Fai-accelerators&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=High+Bandwidth+Compute+%28HBC%29&amp;index=5&amp;md5=f395870d008a249b9ff8d8c2d42df9ef\" rel=\"nofollow\" shape=\"rect\">High Bandwidth Compute (HBC)<\/a> technology breaks memory wall with lower energy per token.<\/li>\n<li>\nMulti-year, multi-generation data center agreements from leading AI and data center companies.<\/li>\n<li>\nBroad industry support from over 35 leaders across technology ecosystems.<\/li>\n<\/ul><p>\nQualcomm Technologies, Inc. (NASDAQ: QCOM) today announced at its Investor Day, new data center solutions, including the Qualcomm Dragonfly\u2122 C1000 CPU, Qualcomm\u00ae High Bandwidth Compute (HBC), Qualcomm Dragonfly\u2122 AI300 inference accelerator, and connectivity products, together with custom silicon solutions, all engineered to maximize performance per watt and token throughput at lower total cost of ownership. The new platforms highlight Qualcomm Technologies\u2019 growing role in building full\u2011stack data center infrastructure optimized for AI, spanning agentic and data\u2011center\u2011class CPUs, AI inference accelerators, high\u2011performance connectivity, and at scale custom silicon solutions. The Qualcomm Dragonfly AI300 joins the <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fnews%2Freleases%2F2025%2F10%2Fqualcomm-unveils-ai200-and-ai250-redefining-rack-scale-data-cent&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=previously+announced+Qualcomm+Dragonfly+AI200+and+AI250&amp;index=6&amp;md5=0a1af1c577c68bd411ebe865b1335e77\" rel=\"nofollow\" shape=\"rect\">previously announced Qualcomm Dragonfly AI200 and AI250<\/a> in its data center solutions portfolio with an annual cadence AI accelerator roadmap.<\/p><p>\n\u201cAgentic AI is driving a significant increase in demand for AI inference in the data center. As these become the dominant workloads, infrastructure has to deliver much higher performance at lower power and cost,\u201d said Cristiano Amon, President and CEO of Qualcomm Incorporated. \u201cThat plays directly to Qualcomm\u2019s strengths, and we\u2019re well positioned for this shift. With Qualcomm Dragonfly, we\u2019re bringing our high-performance, low-power computing into the data center, with multi-year, multi-generation agreements with leading customers.\u201d<\/p><p>\n<b>Inference-First Platforms Built for Hyperscalers<\/b><\/p><p>\nQualcomm Technologies draws on decades of expertise in systems-on-chips (SoCs), low-power design, high-performance processing, and leading IP, combined with experience engineering over 40 billion components, to deliver disaggregated, rack-scale AI infrastructure designed for data-center-grade, agent-intensive AI inference workloads at hyper scale. These innovations enable improved token economics, low latency, simplified integration, scalable deployment, and lower total cost of ownership. As agentic AI dramatically increases token demand, Qualcomm Technologies\u2019 solutions are optimized for tokens-per-watt as the key lever to reduce total cost of ownership (TCO).<\/p><p>\n\u201cWhat enterprises need now goes far beyond individual components. Orchestrating multiple types of compute across distributed, always-on infrastructure is critical,\u201d said Tony Pialis, EVP and GM of Data Center, Qualcomm Technologies, Inc. \u201cWith Qualcomm Dragonfly, we\u2019re bringing together compute, AI, memory, and connectivity into a unified, rack-scale platform designed for increasingly complex, agent-driven workloads while addressing key bottlenecks in memory bandwidth and power consumption. This builds on what Qualcomm Technologies has been delivering for decades: high-performance, low-power compute at scale, now applied to the data center in a way that very few companies can match.\u201d<\/p><p>\n<b>From Silicon to Rack: A Disaggregated, Rack-Scale AI Inference Platform<\/b><\/p><p>\n<b>Qualcomm Dragonfly C1000 CPU<\/b><\/p><ul class=\"bwlistdisc\">\n<li>\nPurpose-built data center CPU designed for leadership performance and utilization for agentic, general-purpose, and AI head node workloads at best-in-class power efficiency and TCO<\/li>\n<li>\nCustom-designed Qualcomm Oryon\u2122 CPU cores optimized for core performance and frequencies &gt; 5 GHz to deliver superior performance for agentic workload deployed at scale<\/li>\n<li>\n250+ core count chiplet design for exceptional throughput and scale while delivering exceptional per-core performance<\/li>\n<li>\n&gt; 2x better performance per watt estimate compared to existing product benchmarks for server CPU competitive offerings based on specs<\/li>\n<li>\nArchitected and designed for best throughput, responsiveness, and infrastructure utilization for critical data center usages and lowering CapEx and OpEx to deliver best-in-class performance per TCO leadership at scale<\/li>\n<li>\nMulti-chiplet architecture enabling modular integration with advanced packaging technologies for performance and IO scaling addressing general-purpose to AI CPUs in the data center domain<\/li>\n<li>\n&gt; 2 TB\/s leading-edge PCIe Gen 7 connectivity, plus CXL connectivity, to support next-generation accelerators, high-speed networking &amp; storage and memory disaggregation<\/li>\n<li>\nMemory sub-system built to deliver superior bandwidth, capacity, latency and power efficiency using leading-edge low-power memory technology<\/li>\n<li>\nCPU-based inference with optional HBC attach<\/li>\n<li>\nBuilt with advanced reliability, availability, and serviceability (RAS) features, including ECC, fault isolation, and error recovery to enable resilient operation at scale<\/li>\n<li>\nSupport for both air and liquid cooling, enabling deployment across diverse data center environments with OCP ORv3 compliant racks and servers<\/li>\n<li>\nCPU portfolio includes: agentic CPU designed for high-throughput agentic orchestration and low latency interactive AI use cases; general-purpose CPU designed for optimal performance-per-TCO for first-party workload and performance-per-vCPU for third-party usage elasticity; AI head node CPU designed to maximize XPU utilization of XPU for generative AI compute through low overhead host processing through high-speed CPU<\/li>\n<li>\nCommercial availability is expected in 2028<\/li>\n<\/ul><p>\n<b>Qualcomm High Bandwidth Compute (HBC)<\/b><\/p><ul class=\"bwlistdisc\">\n<li>\nInnovative purpose-built near-memory computing architecture that bonds compute with highly-accelerated memory bandwidth in a 3D-stacked silicon solution to address AI\u2019s fundamental data movement bottleneck<\/li>\n<li>\nHBC has a multi-generation roadmap to deliver faster, more efficient, and more scalable processing at lower total cost of ownership and higher energy efficiency compared to high bandwidth memory (HBM)<\/li>\n<li>\nWith HBC Gen 1, AI250 is designed to enable an industry-leading 133 TB\/s per card, an 18x increase in effective memory bandwidth compared to AI200 with LPDDR5X; AI300 with HBC Gen 2 is designed to enable another stepwise improvement with a 54x increase over AI200<\/li>\n<li>\nHBC is designed to enable a 6x increase in bandwidth per watt versus HBM compared to competing published product specifications normalized at card-level<\/li>\n<li>\nHBC is designed to enable a 200x increase in capacity per watt versus SRAM compared to competing published product specifications normalized at rack-level<\/li>\n<li>\nHBC is designed to enable efficient scaling of AI agents to meet the demands of continuous reasoning, memory bandwidth, and real-time responsiveness<\/li>\n<li>\nOur strategic relationships with the supply chain and unique implementation addresses near-memory computing complexity due to 3D integration leadership, system-level design, LPDDR leadership, and power efficiency expertise<\/li>\n<li>\nCommercial sampling of HBC Gen 1 with AI250 is expected in mid-2027<\/li>\n<\/ul><p>\n<b>Qualcomm Dragonfly AI300 (Card and Rack)<\/b><\/p><ul class=\"bwlistdisc\">\n<li>\nThird-generation, air- and direct-liquid-cooled rack-level AI inference platform \u2013 following the introduction of the AI200 and AI250 solutions last October<\/li>\n<li>\nAI300 integrates breakthrough Qualcomm HBC Gen 2 technology for compute acceleration with integrated memory and increased effective memory bandwidth, designed for disaggregated inference deployments (AI250 uses HBC Gen 1)<\/li>\n<li>\nEnables industry-leading memory capacity and effective bandwidth enabling high-throughput, low-latency performance for large language &amp; multimodal model (LLM, LMM) inference and agentic AI workloads<\/li>\n<li>\nExpecting 4x-8x better performance-per-watt compared to existing GPU-based architectures on memory bandwidth per watt per card<\/li>\n<li>\nScale up with UALink (Ultra Accelerator Link) and ESUN (Ethernet for Scale-Up Networking); scale out with copper and optical<\/li>\n<li>\nCommercial sampling is expected in 2028<\/li>\n<\/ul><p>\n<a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fdata-center%2Fsolutions%2Fcustom-silicon&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=Custom+Silicon&amp;index=7&amp;md5=665b958dd2f4bd9bea2c919eec18317f\" rel=\"nofollow\" shape=\"rect\"><b>Custom Silicon<\/b><\/a><\/p><ul class=\"bwlistdisc\">\n<li>\n<b>Performance-optimized silicon<\/b> at scale for next-generation AI and cloud data center infrastructure<\/li>\n<li>\n<b>Bespoke custom silicon<\/b> for agentic AI and other specialized workloads<\/li>\n<li>\n<b>End-to-end co-design capabilities <\/b>across silicon, system, and software to address customer-specific performance, power, and integration requirements<\/li>\n<li>\n<b>Advanced packaging<\/b> and modular architectures designed to improve performance, power efficiency, and scalability<\/li>\n<li>\n<b>Proven IP<\/b> and streamlined design execution to support faster time-to-market and reduced execution risk<\/li>\n<li>\nExecution from <b>design<\/b> through <b>high-volume<\/b> manufacturing, supported by ecosystem and supply chain relationships<\/li>\n<\/ul><p>\n<a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fdata-center%2Fexpertise%2Fconnectivity&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=Connectivity&amp;index=8&amp;md5=7a544901d89142f2f369fe27e0fd6f04\" rel=\"nofollow\" shape=\"rect\"><b>Connectivity<\/b><\/a><\/p><ul class=\"bwlistdisc\">\n<li>\n<b>Broad connectivity portfolio<\/b> spanning die-to-die, copper, optical, and campus-reach interconnects for next-generation AI data centers<\/li>\n<li>\n<b>Supports high-bandwidth<\/b> 800G and 1.6T connectivity across optical, AOC, and AEC applications, from intra-data-center links to campus-reach deployments up to 20 km<\/li>\n<li>\n<b>Combines Qualcomm Technologies\u2019<\/b> SerDes, PAM4, coherent-lite DSP, signal integrity, and telemetry capabilities to support scalable, high-performance AI infrastructure<\/li>\n<li>\nAddresses <b>data movement bottlenecks<\/b> that are central to AI data center performance in increasingly distributed, disaggregated, and bandwidth-intensive infrastructure<\/li>\n<\/ul><p>\n<b>Across the Ecosystem<\/b><\/p><p>\nIn addition to the new Qualcomm Dragonfly data center portfolio, Qualcomm Technologies announced a multi-year, multi-generation agreement with Meta.<\/p><p>\nQualcomm Technologies and Meta today <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fnews%2Freleases%2F2026%2F06%2Fqualcomm-and-meta-announce-strategic-multi-generation-agreement-&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=announced&amp;index=9&amp;md5=394b62688714d21678331f7dfbd01194\" rel=\"nofollow\" shape=\"rect\">announced<\/a> a strategic multi-generation collaboration for Qualcomm Technologies to be a supplier for data center CPUs for Meta. Qualcomm Technologies\u2019 data center CPU, the Qualcomm Dragonfly\u2122 C1000, is planned to power Meta\u2019s next-generation server fleet, underscoring the growing importance of high-performance, power-efficient compute in large-scale, scale-out environments.<\/p><p>\nAdditionally, over 35 global leaders across the technology and AI ecosystems are also sharing their support for Qualcomm Technologies\u2019 data center vision and commercial solutions including Advantest, Arista, Astera, Cirrascale, Compal, Confidential Core AI , Core42, Delta, Fibercop, Foxconn, GIGABYTE Technology, HUMAIN, Inventec, IONOS, Lenovo, Master Works, Microchip Technology, Micron Technology, Nanya Technology, NEC, NeuReality, Quanta, Pegatron Corporation, Samsung SDS, Saptiva AI , SK hynix America, Supermicro, Teradyne, TeraHop, UMC, VAST Data, Viettel IDC, VNPT Group, and Wistron. Read ecosystem partner quotes <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fcontent%2Fdam%2Fqcomm-martech%2Fdm-assets%2Fdocuments%2FDragonflyPartnerQuoteSheet.pdf&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=here&amp;index=10&amp;md5=463d22b768b1ca2a49a2db363c336937\" rel=\"nofollow\" shape=\"rect\">here<\/a>.<\/p><p>\nQualcomm Technologies is committed to a multi-generation data center roadmap with an annual cadence focused on advancing AI inference performance, energy efficiency, and total cost of ownership. For more information, visit our <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.qualcomm.com%2Fartificial-intelligence%2Fdata-center&amp;esheet=54559528&amp;newsitemid=20260624731900&amp;lan=en-US&amp;anchor=website&amp;index=11&amp;md5=32bff323dfa0ff0fbb8802b5603f2fba\" rel=\"nofollow\" shape=\"rect\">website<\/a>.<\/p><p>\n<b>About Qualcomm<\/b><\/p><p>\nQualcomm is a global computing leader at the center of the AI era, enabling intelligence to scale from the most personal devices to large\u2011scale infrastructure. Building on more than four decades of innovation, we develop platforms and solutions that bring together advanced AI, high\u2011performance low-power computing, and industry\u2011leading connectivity\u2014powering products and services used around the world. At Qualcomm, we are engineering human progress.<\/p><p>\nQualcomm Incorporated includes our licensing business, QTL, and the vast majority of our patent portfolio. Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, operates, along with its subsidiaries, substantially all of our engineering and research and development functions and substantially all of our products and services businesses, including our QCT semiconductor business. Snapdragon and Qualcomm branded products are products of Qualcomm Technologies, Inc. and\/or its subsidiaries. Qualcomm patents are licensed by Qualcomm Incorporated. Qualcomm, Snapdragon, Qualcomm Dragonwing and Qualcomm Dragonfly are trademarks or registered trademarks of Qualcomm Incorporated.<\/p><br\/> <b>Contacts<\/b> <br\/><p>\nQualcomm Contacts:\n<br\/>Clare Conley, Communications\n<br\/>Phone: 1-858-845-5959\n<br\/>Email: <a  href=\"mailto:corpcomm@qualcomm.com\" rel=\"nofollow\" shape=\"rect\">corpcomm@qualcomm.com<\/a><\/p><p>\nBrett Simpson, Investor Relations\n<br\/>Phone: 1-858-658-4813\n<br\/>Email: <a  href=\"mailto:ir@qualcomm.com\" rel=\"nofollow\" shape=\"rect\">ir@qualcomm.com<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>NEW YORK&#8211;(BUSINESS WIRE)&#8211;Qualcomm Technologies, Inc. (NASDAQ: QCOM):<br \/>\nHighlights:<\/p>\n<p>Introducing new data center solutions, including the Qualcomm Dragonfly C1000 CPU, Qualcomm High Bandwidth Compute (HBC), Qualcomm Dragonfly AI300 inference accelerator&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-25866","post","type-post","status-publish","format-standard","hentry","category-infos-businesswire"],"_links":{"self":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/25866","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=25866"}],"version-history":[{"count":1,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/25866\/revisions"}],"predecessor-version":[{"id":25867,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/25866\/revisions\/25867"}],"wp:attachment":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=25866"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=25866"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=25866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}