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  • Micron Reports Record Q4 Revenue Fueled by AI Data Center Demand

    Micron Reports Record Q4 Revenue Fueled by AI Data Center Demand

    Insights:

    • Micron Technology achieved record-breaking fiscal Q4 and full-year 2025 revenue driven by AI data center growth.
    • Capital expenditures reached $13.8 billion for the full fiscal year 2025, reflecting strong investment in future capabilities.
    • Adjusted free cash flow was $3.72 billion for fiscal 2025, supporting financial stability and shareholder returns.
    • The company declared a quarterly dividend of $0.115 per share, emphasizing its commitment to investors.
    • Micron expects $1.2 billion sequential revenue growth in Q1 2026 with gross margins exceeding 50%, highlighting strong market momentum.

    Micron Technology, Inc. closed fiscal year 2025 with record-breaking financial performance, largely driven by strong demand for AI data center memory solutions. The company’s Q4 results reinforced its leadership position in technology and operational excellence, setting the stage for continued growth into fiscal 2026. With a portfolio of high-performance DRAM, NAND, and NOR products, Micron is strategically positioned to capitalize on the growing AI market as the only U.S.-based memory manufacturer.

    During fiscal 2025, Micron made substantial capital investments totaling $13.8 billion, demonstrating its commitment to expanding its manufacturing and technological capabilities. The company generated an impressive adjusted free cash flow of $3.72 billion, which supports ongoing innovation and shareholder value initiatives, including a recently declared quarterly dividend of $0.115 per share.

    Looking ahead, Micron forecasts $1.2 billion in sequential revenue growth for the first quarter of fiscal 2026, with gross margins expected to exceed 50%. This outlook reflects solid market demand and confidence in its competitive product portfolio. Micron continues to drive innovation that enables AI, compute-intensive applications, and the broader data economy, positioning itself for sustained long-term success.

    For more information visit

    Micron Technology, Inc.

  • UK and NVIDIA Unite to Drive AI Innovation and Infrastructure

    UK and NVIDIA Unite to Drive AI Innovation and Infrastructure

    Insights:

    • NVIDIA CEO Jensen Huang highlighted the UK as a burgeoning AI ecosystem with 3,700 companies and 60,000 employees.
    • The UK-US collaboration involves the largest-ever tech agreement focusing on AI for security, innovation, and economic growth.
    • NVIDIA committed £2 billion in investments with UK-based venture capital firms to foster AI startups and scale technology impact.
    • Deployment of 120,000 NVIDIA Blackwell GPUs will power new AI “factories,” including partnerships with Microsoft, OpenAI, and others.
    • Projects include building a quantum-GPU supercenter and launching a robotics R&D hub to train the next generation of AI talent.

    This week, the United Kingdom emerged as a global AI hub during NVIDIA CEO Jensen Huang’s visit, marked by a high-profile event in London featuring UK Prime Minister Keir Starmer and senior government officials. The gathering emphasized the UK’s unique “Goldilocks moment,” where top universities, researchers, startups, and venture capital converge to create fertile ground for AI innovation. Huang praised the UK’s talented workforce and its historical significance as the birthplace of the industrial revolution, framing AI as the next major industrial leap.

    The collaboration between the UK and the US, anchored by NVIDIA’s £2 billion investment and the largest-ever deployment of 120,000 NVIDIA Blackwell GPUs, aims to bolster AI infrastructure and commercialize cutting-edge science. This investment partnership includes leading VC firms and spans several cities beyond London, underscoring a nationwide impact. Key initiatives also include developing quantum computing capabilities, launching dedicated robotics research hubs, and accelerating major AI projects in healthcare, climate science, and public services, powered by the UK’s most powerful AI supercomputer based at the University of Bristol.

    For more information visit

    NVIDIA, Accel, Air Street Capital, Balderton Capital, Hoxton Ventures, Phoenix Court, Microsoft, Nscale, OpenAI, CoreWeave, Oxford Quantum Circuits, techUK, QA, University of Bristol

  • NVIDIA and Intel Unite to Revolutionize AI and Computing Technologies

    NVIDIA and Intel Unite to Revolutionize AI and Computing Technologies

    Insights:

    • NVIDIA and Intel announce a strategic collaboration to develop custom datacenter and PC products combining their strengths.
    • Intel will create x86 CPUs customized for NVIDIA AI platforms and x86 SOCs integrating NVIDIA RTX GPU chiplets for personal computing.
    • NVIDIA commits a $5 billion investment in Intel’s common stock, solidifying their partnership.
    • This joint effort aims to seamlessly connect NVIDIA’s AI and accelerated computing with Intel’s CPU technologies and x86 ecosystem.
    • Both companies emphasize innovation to drive the next era of computing across hyperscale, enterprise, and consumer markets.

    NVIDIA and Intel have announced a groundbreaking collaboration to jointly develop next-generation custom datacenter and personal computing products that combine their technological expertise. This partnership will leverage NVIDIA’s powerful AI and accelerated computing platforms alongside Intel’s leading x86 CPUs and architecture. Intel plans to build NVIDIA-customized x86 CPUs specifically for integration into NVIDIA’s AI infrastructure, while for personal computers, Intel will design x86 system-on-chips (SOCs) incorporating NVIDIA RTX GPU chiplets.

    As part of this strategic alliance, NVIDIA also plans to invest $5 billion in Intel’s common stock, underscoring the deep commitment between the two tech giants. The companies aim to seamlessly connect their architectures via NVIDIA’s NVLink technology to provide innovative solutions across hyperscale data centers, enterprises, and consumer markets. Both CEOs highlight this as a pivotal step in advancing computing by merging their strengths and expanding their ecosystems for future workloads and AI-driven applications.

    For more information visit

    NVIDIA, Intel Corporation

  • Cadence Boosts SoC Design Power with Arm Artisan IP Acquisition

    Cadence Boosts SoC Design Power with Arm Artisan IP Acquisition

    Insights

    • Cadence has acquired Arm’s Artisan foundation IP business, expanding its design IP portfolio.
    • The acquisition includes standard cell libraries, memory compilers, and GPIOs optimized for advanced foundries.
    • This move supports Cadence’s strategy to improve time-to-market, cost, power, and performance for SoC designs.
    • The acquisition is expected to have minimal impact on Cadence’s revenue and earnings in 2025.
    • Cadence continues to lead in AI-driven semiconductor design solutions and was recently named a top-managed company by the Wall Street Journal.

    Cadence Design Systems has completed the acquisition of the Arm Artisan foundation IP business, a significant addition to its expanding suite of semiconductor design solutions. The acquired IP includes critical components such as standard cell libraries, memory compilers, and general-purpose I/Os—elements optimized for advanced semiconductor process nodes used by leading foundries.

    This strategic move enhances Cadence’s presence in system-on-chip (SoC) design by complementing its existing portfolio of protocol, interface, memory, and SerDes IPs. By integrating the Artisan IP, Cadence aims to accelerate customers’ time to market while optimizing cost, power efficiency, and performance in next-generation chip designs.

    While the acquisition will not meaningfully affect Cadence’s financial results in the near term, it reinforces the company’s commitment to innovation and leadership in AI-driven system design solutions. Cadence’s strong market position is further validated by its recognition as one of the world’s best-managed companies. This acquisition positions Cadence to better serve a diverse range of industries such as mobile communications, automotive, aerospace, and more.

    Cadence, Arm

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  • Eliyan’s NuLink PHY Advances High-Performance Chiplet Interconnects

    Eliyan’s NuLink PHY Advances High-Performance Chiplet Interconnects

    Insights

    • Eliyan has successfully taped out its NuLink PHY using Samsung’s SF4X 4nm advanced manufacturing process.
    • The interconnect supports up to 40Gbps bandwidth with industry-leading low power density and advanced packaging technology.
    • NuLink PHY enables custom High Bandwidth Memory (HBM) base dies and supports ASIC disaggregation for chiplet-based designs.
    • This technology addresses critical memory and IO bottlenecks in next-generation AI and GenAI systems.
    • Collaboration with Samsung Foundry highlights the integration of advanced logic and memory technologies for data center applications.

    Eliyan Corporation has announced a major breakthrough with the successful tape out of its NuLink PHY in a x64 UCIe Advanced Package Module, manufactured using Samsung Foundry’s cutting-edge SF4X 4nm process. This new chiplet interconnect technology boasts an impressive 40Gbps bandwidth at remarkably low power levels, achieving unprecedented power density through the use of 45-micron pitch micro bumps. Fully compliant with the UCIe standard, NuLink PHY extends high-performance die-to-die and die-to-memory connectivity in both standard and advanced packaging formats.

    Designed to enable next-generation multi-die semiconductor architectures, Eliyan’s solution supports the creation of custom High Bandwidth Memory (HBM) base dies and is available as IP to facilitate ASIC disaggregation strategies. This addresses the critical memory and IO challenges faced by AI and GenAI subsystems, particularly in training and inference applications for large language models and other high-performance computing tasks. The collaboration with Samsung Electronics reinforces the strategic importance of integrating advanced process technology with innovative interconnect design to meet the growing demands of data centers worldwide.

    For more information visit

    Eliyan Corporation, Samsung Electronics, Samsung Foundry

  • Keysight and Intel Unveil Advanced Chiplet Solutions for AI & Data Centers

    Insights

    • Keysight and Intel Foundry collaborate to advance EMIB-T technology for AI and data center chips.
    • Adoption of open standards like UCIe™ 2.0 and BoW ensures seamless chiplet interoperability.
    • Keysight’s Chiplet PHY Designer offers pre-silicon validation to streamline chiplet design and reduce risks.
    • The partnership accelerates innovation by enabling faster, more reliable high-performance semiconductor packaging.
    • Demonstrations of the new EMIB-T workflow are showcased at Intel Foundry Direct Connect event.

    Keysight Technologies and Intel Foundry have announced a strategic collaboration to support Embedded Multi-die Interconnect Bridge-T (EMIB-T) technology, a breakthrough packaging solution tailored for the demanding AI and data center markets. This partnership addresses the critical need for reliable, high-speed communication and efficient power delivery between chiplets and 3D integrated circuits, which are essential for next-generation semiconductor performance.

    By leveraging emerging open standards such as Universal Chiplet Interconnect Express™ (UCIe™) 2.0 and Bunch of Wires (BoW), Keysight and Intel aim to create a robust chiplet interoperability ecosystem. Keysight’s Chiplet PHY Designer now integrates advanced simulation and validation capabilities aligned with these standards, offering engineers a streamlined, pre-silicon design verification process that reduces development costs and mitigates manufacturing risks.

    This collaboration enhances chiplet design flexibility, empowering rapid innovation and ensuring customers can meet future workloads with precision. The advanced EMIB-T workflow will be showcased by Keysight at the Intel Foundry Direct Connect event, highlighting this pivotal step in semiconductor packaging technology.

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  • Revolutionizing SoC Design with 3D Heterogeneous Integration

    Insights

    • Cadence offers an integrated 3D-IC design flow enabling seamless chiplet and multi-die integration.
    • Their UCIe PHY, Controller, and VIP support combining diverse dies from various fabs and technologies.
    • Solutions target automotive, data center, and other verticals requiring advanced packaging and performance optimization.
    • Cadence’s tools address power, performance, area, timing closure, and complex simulation challenges.
    • Comprehensive training and support resources help designers accelerate chiplet-based SoC development.

    The advancement of 3D heterogeneous integration is transforming system-on-chip (SoC) design by enabling the seamless combination of multiple chiplets, including 2D and 2.5D dies, sourced from different fabs and packaging technologies. Cadence Design Systems leads this space by providing an integrated flow for chiplet and 3D-IC designs that serve automotive, data center, and various other industries.

    The company’s Cadence UCIe PHY, Controller, and verification IP facilitate on-package mix-and-match chiplet configurations, allowing designers to optimize power, performance, and area (PPA) while achieving timing closure in multi-chiplet environments. Cadence’s comprehensive offerings cover design IP, verification, system-level analysis, and multi-die package implementation, backed by over 25 years of experience in advanced packaging.

    These solutions address key challenges such as electromagnetic, thermal, and electromechanical simulations to ensure robust designs under diverse operating conditions. Through extensive educational resources and a supportive community, Cadence empowers engineers to accelerate innovation in disaggregated chip development, tackling physical constraints and cost issues at advanced semiconductor nodes effectively.

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  • PsiQuantum Secures $1 Billion to Build Fault-Tolerant Quantum Computers

    PsiQuantum Secures $1 Billion to Build Fault-Tolerant Quantum Computers

    Insights

    • PsiQuantum raised $1 billion in Series E funding, valuing the company at $7 billion.
    • The company aims to build million-qubit, fault-tolerant quantum computers using photonic technology.
    • PsiQuantum leverages high-volume semiconductor manufacturing and integrated Barium Titanate (BTO) electro-optic switches.
    • New funding supports scaling production, building utility-scale quantum sites in Brisbane and Chicago, and advancing cooling and networking systems.
    • Strategic partnerships include NVIDIA and major investors like BlackRock, Temasek, and Baillie Gifford.

    PsiQuantum has announced a monumental $1 billion Series E funding round, backed by leading investors such as BlackRock, Temasek, and Baillie Gifford, pushing its valuation to $7 billion. This capital will accelerate the company’s development of commercially viable, fault-tolerant quantum computers at a million-qubit scale, a significant engineering challenge the company is uniquely positioned to solve by leveraging photonic quantum technology and mass semiconductor manufacturing.

    Central to PsiQuantum’s approach is the integration of Barium Titanate (BTO), a powerful electro-optic material enabling ultra-high-performance optical switches critical for scaling quantum systems. The company manufactures these photonic chips at GlobalFoundries’ Fab 8 facility and produces BTO wafers in its California labs. Their cooling solutions and networking techniques aim to overcome traditional quantum computing barriers, avoiding bulky cryostats and enabling scalable, data-center-like architectures.

    With partnerships including NVIDIA, PsiQuantum is not only advancing hardware but also exploring software integration and quantum algorithms. The new funding will support building utility-scale quantum computing sites in Brisbane and Chicago and scaling production to meet anticipated commercial demand. Industry leaders see PsiQuantum’s efforts as positioning it at the forefront of a quantum revolution poised to transform computing beyond AI’s current capabilities.

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  • NVIDIA’s Vision: Building the Future AI Factories with Digital Twins

    At the recent AI Infrastructure Summit, NVIDIA introduced a groundbreaking paradigm: transforming traditional data centers into highly integrated AI factories. Moving beyond its core chip business, NVIDIA is partnering with major technology and infrastructure companies to co-engineer facilities optimized for the intensive power and cooling demands of AI workloads. This initiative embraces a system-level approach, unifying compute, power, cooling, and orchestration into a seamlessly designed infrastructure. Central to this vision is the creation of digital twins — virtual replicas of AI factory environments — built on the NVIDIA Omniverse platform. These twins enable pre-construction simulation and continuous operational management, ensuring maximum efficiency and reliability. By using simulation-ready digital assets and adopting the open standard OpenUSD framework, NVIDIA and its partners can model every component from power grids to facility cooling systems in unprecedented detail. Collaborators including Siemens, Jacobs, and Schneider Electric bring decades of infrastructure expertise for gigawatt-scale energy delivery and sustainable operations. When fully realized, this AI factory blueprint will foster real-time cross-industry collaboration through APIs and digital assets, ushering in a new era of composable, resilient, and scalable AI infrastructure designed specifically for the next generation of AI computing demands.

    For more information visit

    Insights

    • NVIDIA is pioneering a new AI factory concept by integrating data center infrastructure with AI-optimized systems for power, cooling, and orchestration.
    • The initiative uses digital twins and simulation via the NVIDIA Omniverse platform to design, optimize, and operate AI factories before physical construction.
    • Industry leaders like Siemens, Jacobs, Schneider Electric, and GE Vernova collaborate to provide expertise in power delivery, cooling, and infrastructure integration at gigawatt-scale.
    • By co-designing infrastructure and compute platforms, NVIDIA enables system-level efficiency that reduces energy waste and improves reliability in AI workloads.
    • OpenUSD-standard simulation assets and APIs will allow partners to engage in real-time collaboration, promoting scalable and resilient AI factory ecosystems.
    At the recent AI Infrastructure Summit, NVIDIA introduced a groundbreaking paradigm: transforming traditional data centers into highly integrated AI factories. Moving beyond its core chip business, NVIDIA is partnering with major technology and infrastructure companies to co-engineer facilities optimized for the intensive power and cooling demands of AI workloads. This initiative embraces a system-level approach, unifying compute, power, cooling, and orchestration into a seamlessly designed infrastructure. Central to this vision is the creation of digital twins — virtual replicas of AI factory environments — built on the NVIDIA Omniverse platform. These twins enable pre-construction simulation and continuous operational management, ensuring maximum efficiency and reliability. By using simulation-ready digital assets and adopting the open standard OpenUSD framework, NVIDIA and its partners can model every component from power grids to facility cooling systems in unprecedented detail. Collaborators including Siemens, Jacobs, and Schneider Electric bring decades of infrastructure expertise for gigawatt-scale energy delivery and sustainable operations. When fully realized, this AI factory blueprint will foster real-time cross-industry collaboration through APIs and digital assets, ushering in a new era of composable, resilient, and scalable AI infrastructure designed specifically for the next generation of AI computing demands.

    For more information visit

  • IBM and AMD Unite to Pioneer Quantum-Centric Supercomputing

    Insights

    • IBM and AMD are collaborating to create hybrid quantum-centric supercomputing architectures combining quantum computers with high-performance classical computing.
    • This approach leverages quantum computing’s unique qubits alongside AMD’s CPUs, GPUs, and AI accelerators to tackle complex problems in fields like drug discovery and materials science.
    • The partnership aims to develop scalable, open-source platforms and demonstrate hybrid quantum-classical workflows later this year.
    • IBM’s vision includes achieving fault-tolerant quantum computing by decade’s end, with AMD technologies potentially enabling real-time error correction.
    • Integrating quantum and classical computing could drastically accelerate scientific discovery and innovation well beyond current computational limits.

    IBM and AMD have announced a strategic collaboration to develop next-generation computing architectures that integrate quantum computing with high-performance classical computing, termed quantum-centric supercomputing. By combining IBM’s expertise in building world-leading quantum systems with AMD’s powerful CPUs, GPUs, and AI accelerators, the companies aim to create hybrid platforms capable of solving complex problems that classical computers alone cannot tackle. Quantum computers, through qubits that exploit quantum mechanics, can simulate molecular and atomic behaviors, while classical supercomputers handle AI-driven data analysis. Together, these capabilities offer unprecedented speed and scale in fields such as drug discovery, materials science, optimization, and logistics. The partnership plans to demonstrate hybrid quantum-classical workflows this year and advance open-source ecosystems like Qiskit to accelerate algorithm development. Additionally, AMD’s technologies may support critical real-time error correction needed for fault-tolerant quantum computing, a major milestone IBM aims to achieve by the end of this decade. This collaboration marks a significant leap toward seamlessly integrating quantum and classical computing, unlocking new frontiers in scientific innovation and computational power. For more info. visit: https://www.amd.com/en/newsroom/press-releases/2025-8-26-ibm-and-amd-join-forces-to-build-the-future-o.html

  • Physical AI: Revolutionizing Real-World Robotics and Human Interaction

    Insights

    • Physical AI integrates robotics and machine learning to function autonomously in dynamic real-world environments, extending human capabilities.
    • The development of physical AI marks the next major phase after digital infrastructure and agentic AI, with trillion-dollar industry potential.
    • Successful physical AI emphasizes seamless human-machine collaboration, augmenting productivity rather than replacing humans.
    • Ethical considerations, including transparency, trust, and equitable access, are critical as physical AI systems become more widespread.
    • Real-world applications like healthcare robotics (e.g., Moxi) show how physical AI fills labor gaps and improves operational efficiency.

    Physical AI represents a transformative step in artificial intelligence, shifting focus from digital-only applications to intelligent systems that operate autonomously in the physical world. This emerging technology blends robotics and machine learning to create robots, drones, and autonomous vehicles capable of sensing, processing, and responding to complex environments. A panel of experts at SXSW 2025 highlighted how physical AI differs from traditional AI, emphasizing its vertical, domain-specific nature and vast industrial potential spanning healthcare, manufacturing, logistics, and daily life. Industry leaders like Dr. Anirudh Devgan explain that physical AI is the forthcoming phase in AI evolution, poised to unlock trillion-dollar markets by enhancing real-world systems beyond current data-centric models. Experts including Amazon’s chief roboticist Tye Brady stress that physical AI should amplify human abilities through seamless integration rather than automation-driven replacement. Innovations such as hospital assistant robots demonstrate tangible benefits, alleviating labor shortages and increasing efficiency. However, ethical concerns around transparency, collaboration, and accountability underscore the need for coordinated global efforts to govern this technology responsibly. As physical AI matures, it promises to revolutionize productivity while demanding thoughtful deployment to ensure it serves society broadly and ethically. For more info. visit: https://community.cadence.com/cadence_blogs_8/b/corporate-news/posts/how-physical-ai-integration-is-transforming-the-real-world

  • The Rise of Physical AI: Transforming Real-World Robotics and Human Collaboration

    Insights

    • Physical AI integrates machine learning with robotics to create systems that sense and respond to real-world environments, enhancing human productivity across industries.
    • The evolution of AI is entering a new phase—physical AI—expected to unlock trillion-dollar markets over the next 2 to 7 years, followed by sciences AI in the longer term.
    • Human-robot collaboration is key; effective physical AI systems work seamlessly in the background, amplifying human capabilities rather than replacing jobs.
    • Ethical, transparent, and global collaboration is crucial to ensure physical AI benefits society equitably and maintains trust.
    • Healthcare is an early leader in adopting physical AI, with robots like Moxi easing labor shortages and freeing professionals to focus on patient care.
    Physical AI is revolutionizing how machines and humans interact by merging robotics with artificial intelligence to operate effectively in real-world settings. At SXSW 2025, top leaders including Dr. Anirudh Devgan and Sir Tim Berners-Lee discussed this transformative technology now moving from digital infrastructure toward domain-specific, physical applications such as autonomous vehicles, drones, and humanoid assistants. Unlike early AI focused on data and computational power, physical AI promises to unlock vast economic potential by embedding intelligent robotics into industries like healthcare, manufacturing, and logistics. Tye Brady of Amazon highlighted the importance of designing these systems to augment human abilities rather than replace them, enabling a “symphony” of human-machine collaboration that quietly boosts efficiency. Healthcare is already benefiting from robots like Moxi, which assist medical staff by handling routine tasks, addressing labor shortages and improving care delivery. However, challenges around trust, ethics, and global cooperation remain critical to ensuring equitable and safe adoption. Overall, physical AI is poised to expand the frontiers of productivity and innovation, signaling a pivotal shift toward the next era of AI-driven technological advancement. For more info. visit: https://community.cadence.com/cadence_blogs_8/b/corporate-news/posts/how-physical-ai-integration-is-transforming-the-real-world