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Stanford University Libraries Welcome Two New Assistant University Librarians

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PALO ALTO, Calif., June 4, 2026 /CNW/ — Stanford University Libraries are excited to announce two new members to its leadership team effective June 1. Sarah Sussman will join as the Assistant University Librarian for Collections and Public Services in the Humanities, Area Studies, and Social Sciences, and Alma Parada will serve as the Assistant University Librarian for Collections and Public Services in Sciences and Engineering.

These appointments reflect Stanford University Libraries’ commitment to research and scholarship across all disciplines.

“Both Sarah and Alma will be wonderful additions to the Libraries’ leadership team known as the Library Executive Group,” says Michael A. Keller, the Ida M. Green University Librarian. “As AULs for Collections and Public Services, they will oversee one of the largest areas in the Libraries covering collections management and public services across twenty libraries and centers. Their incredible talents, skills, and contributions to the Libraries over the years are attestments to the leadership they will bring to their new roles. I am thrilled to welcome such remarkable leaders to our Library Executive Group.”

Sarah Sussman: Leading Humanities, Area Studies, and Social Sciences

Sussman started at the Libraries in 2002 as Curator of the French and Italian Collections soon after finishing her PhD in History at Stanford. During her tenure, she developed both the general and special collections in French and Italian focusing on women in France and Italy, history of science and exploration, 18th century French literature and history, and the French empire. Notably, in 2020, she led the acquisition of the Roxane Debuisson Collection on Paris History, a unique and extensive collection documenting the history of Paris through its infrastructure and commerce. The Debuisson Collection is widely used by Stanford faculty today.

James P. Daughton, Professor of History, praises Sussman’s role in bringing the collection to Stanford, “Without her determination and leadership, Stanford would not have been able to acquire what is one of the finest private collections in the history of France. In addition to [being] a formidable researcher, she has curated a collection of primary sources that has made Stanford an internationally recognized center for its collections related to French history, culture, and society.”

Adds Keith Baker, the J. E. Wallace Sterling Professor of the Humanities, “Sarah Sussman is a superb librarian – knowledgeable, curious, resourceful, generous in support of student and faculty research, and deeply committed to strengthening the collections under her care.”

In 2011, Sussman became the head of the International and Area Studies Resource Group, later reconfigured as the Humanities and Area Studies Resource Group (HASRG) in 2017. Leading the HASRG has provided Sussman a natural step forward to her AUL role. “I am excited to build on my curatorial and management experience in a more strategic role as AUL for Humanities, Area Studies, and Social Sciences Collections and Services,” shares Sussman. “Guiding my vision is the belief that research and teaching in the global humanities and social sciences are more critical than ever in today’s complicated world. I look forward to working with colleagues across the libraries to address the challenges that new technologies and research methodologies offer Stanford’s amazing subject librarians and collections in these fields.”

Sussman’s colleagues are equally excited for her new role. Benjamin Stone, Curator for American and British History, remarks, “Sarah has excelled at building, maintaining, and exposing unique collections at SUL, including rare books and manuscripts, while at the same time staying abreast of technological developments and innovation. At a national and international level, Sarah’s long engagement and leadership in the European Studies Section of ACRL exemplifies her commitment to building collaborative relationships with libraries far and wide. The Libraries and the broader Stanford community are highly fortunate to have Sarah’s leadership as incoming AUL for Humanities and Social Sciences.”

Alma Parada: Leading Sciences and Engineering

Parada’s journey to the Libraries echoes that of Sussman’s, coming to Stanford in 2016 as a postdoctoral scholar in Marine Biology after receiving her PhD in Marine Biology and Biological Oceanography from the University of Southern California in 2015. She started as the Earth and Environmental Sciences Librarian in 2021, a role she retained when she became Head Librarian for the Branner Earth Sciences Library & Map Collections in 2024.

In her dual roles, Parada managed one of the most comprehensive libraries in the Earth Sciences with its vast holdings in geophysics, energy, climate, and geology, along with its renowned map collections and the GeoSpatial Map Center housed in Branner Library. In 2022, she skillfully navigated Branner Library during the School of Earth, Energy and Environmental Sciences’ transformation to the Stanford Doerr School of Sustainability, continuing Branner Library’s support of faculty and students in these new departments.

Faculty and colleagues from across the Doerr School have praised Parada’s role in leading Branner Library and welcome her appointment as AUL. Stephan Graham, the Welton Joseph and Maude L’Anphere Crook Professor in Applied Earth Sciences, states, “Dr. Parada has fully met my expectations as Branner Head Librarian. Her background as a Ph.D. holder in Biological Sciences has given her a fundamental understanding of what a nationally recognized Earth library needs to maintain and advance its quality.”

Simon Klemperer, Professor of Geophysics, notes Parada’s enthusiastic work with students in particular. “Every year,” he recounts, “I teach our capstone Senior Seminar to Geophysics and EPS (formerly Geology) students [and have…] found great value in bringing Alma into my classroom to teach the undergraduates how to take advantage of our library system, how to find and properly utilize resources in their own research.” 

While both acknowledge the loss Parada’s departure will be for Branner Library and the Doerr School, they are pleased that she will not be too far away in her AUL role. “The silver lining to Alma’s promotion is that she will still be responsible for Branner, and that, as a faculty member, I can be reassured that she will mentor her successor and keep a watchful eye over her former branch library,” adds Klemperer.

Parada will bring her extensive research background into this next chapter with the Libraries, “I am delighted to continue my journey at Stanford in this new leadership role and look forward to working with my colleagues to continue evolving our support of science and engineering research and scholarship in partnership with the entire team across the Libraries,” says Parada.

Amanda Whitmire, Head Librarian for Hopkins Marine Library, concurs, “Alma has shown consistent growth and development as Head of Branner Library, and I am confident in her leadership. I look forward to collaborating with her in this new role.”

As AUL in their respective areas, both Sussman and Parada will oversee collections development and public services including reference, instruction, and research consultations across multiple libraries and centers. They will also retain some aspects of their current roles. Sussman will continue to develop the Libraries’ holdings of French rarities and unicae for the Department of Special Collections while Parada will consider and oversee the addition of digital items, collections, and licensing for Stanford’s researchers in the sciences, engineering, and sustainability.

Together, they will lead teams of subject specialist librarians and staff who serve faculty and students across Stanford’s schools and departments. In their AUL roles, they will shape strategic priorities for building world-class collections in both digital and analog formats, developing innovative services, and fostering partnerships with academic departments to advance Stanford’s teaching and research missions.

These appointments reflect Stanford University Libraries’ commitment to supporting research across all disciplines while responding to the evolving needs of scholarship in the 21st century. With combined expertise spanning humanities, social sciences, and STEM fields, Sussman and Parada are well-positioned to lead Stanford University Libraries in these areas to support the research and teaching needs at Stanford.

About Stanford University Libraries
The Stanford University Libraries are a dynamic network of libraries, librarians, information technology specialists, and a vast collection of academic resources that are dedicated to supporting research, teaching, and learning at Stanford.  The Libraries hold over fifteen million items in various genres and formats, including e-resources, fifty subject specialists, twenty campus libraries and centers, and a broad spectrum of services. The Libraries’ archival collections span 96,000 linear feet of materials, 329,781 rare books and manuscripts, and 300 terabytes from hundreds of local and distant collections. The holdings include a large and growing collection of artistic photographs as well as photographs and documents about the history of civil rights in the Mexican American, African American, and Asian American communities, such as the documentary photographic collections of Bob Fitch and David Bacon. There are also political papers of both local and state politicians, such as the recently acquired papers of the late Senator Dianne Feinstein; historical maps featured in the David Rumsey Map Collection; and the incredibly diverse history covered in the Silicon Valley Archives. These archival collections and more are available at the Libraries in the Department of Special Collections and in the Stanford Digital Repository.  Finding aids to the Libraries’ archival collections are accessible in the Online Archive of California. The Libraries’ physical and digital spaces are designed to promote freedom and discovery, making knowledge-seeking more meaningful, more personal, and more connected than ever.  The opportunities for contributing to and transforming the commonwealth of knowledge are wide and deep at Stanford University Libraries.

Contact
Stanford University Libraries, Assistant University Librarian for External Relations Anh Ly anhly@stanford.edu

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Aolani and Rafay Collaborate on One of the Industry’s First NVIDIA DSX OS Deployments on NVIDIA GB200 NVL72 Infrastructure

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July 27, 2026

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The collaboration demonstrates how next-generation AI infrastructure can be transformed into production-ready AI platforms for enterprise and cloud providers.

SUNNYVALE, Calif. and SINGAPORE, July 26, 2026 /PRNewswire/ — Rafay Systems, a leading platform provider for modern infrastructure and AI workloads and a member of NVIDIA Inception, today announced a strategic collaboration with Aolani to deliver one of the industry’s first deployments of NVIDIA DSX OS running on NVIDIA GB200 NVL72 infrastructure, helping demonstrate how next-generation AI infrastructure can move from installation to production-ready AI services.

As organizations continue investing in accelerated computing, the competitive advantage is shifting beyond acquiring GPUs. Success increasingly depends on how quickly providers can operationalize infrastructure, onboard customers, govern multi-tenant environments, and deliver AI services that developers and enterprises can consume immediately.

The collaboration between Aolani and Rafay addresses that challenge by combining Aolani’s next-generation AI infrastructure with Rafay Platform’s orchestration, automation, multi-tenancy, and lifecycle management capabilities to create a production-ready AI platform built on NVIDIA AI infrastructure.

Rather than delivering raw GPU infrastructure alone, the solution enables organizations to provision Kubernetes clusters, virtual machines, AI workspaces, and inference environments through a secure self-service experience while maintaining centralized governance, policy enforcement, and operational visibility.

“Aolani has always been committed to delivering faster time-to-value for our customers,” said Nicholas Chia, CEO of Aolani. “Our customers are at the bleeding edge of AI development, and they need to provision, govern, and scale from day one in an industry that moves at lightning speed. Building the next generation of AI cloud means solving for more than just compute capacity, but also production-grade platforms that enable operational readiness from the get go. That’s why we are so excited about this partnership with Rafay.”

The announcement reflects a broader transition taking place across the AI infrastructure industry. As cloud providers, enterprises, and sovereign AI operators deploy increasingly powerful GPU infrastructure, attention is moving toward the software layer that enables those investments to become secure, scalable, and commercially viable AI platforms.

“AI infrastructure has entered a new phase,” said Haseeb Budhani, CEO and co-founder of Rafay Systems. “The question is no longer how quickly organizations can deploy GPUs. It’s how quickly they can transform that infrastructure into a governed, self-service platform that developers can use and operators can manage at scale. We’re excited to collaborate with Aolani to help demonstrate what’s possible with NVIDIA AI infrastructure and accelerate the path from hardware deployment to production AI services.”

The deployment combines Aolani’s AI cloud infrastructure with the Rafay Platform to simplify infrastructure bring-up, automate lifecycle management, enforce enterprise governance, and provide developers with immediate access to production-ready AI environments. The result is a platform designed to support model development, training, inference, and future AI service delivery without requiring organizations to assemble the operational software stack themselves.

As next-generation AI infrastructure continues to scale globally, Aolani and Rafay are demonstrating how infrastructure providers can move beyond deploying GPU capacity to operating modern AI platforms that accelerate customer adoption, improve infrastructure utilization, and shorten time to value.

About Aolani

Where AI gets built in Asia. Founded in 2023, Aolani’s AI factories enable enterprises, AI natives, and sovereigns to build with confidence, scale ambitiously, and move at hyper-speed in the world’s fastest-growing AI market. Founded in Singapore and backed by compliant and purpose-built neocloud infrastructure, Aolani delivers the performance capabilities for next-generation AI. For more information, visit www.aolanicloud.com and follow @AolaniCloud on LinkedIn.

About Rafay Systems

Rafay Systems is a leading software provider powering the operators building the AI cloud, including neoclouds, telecommunications providers, enterprises, and sovereign AI operators. The Rafay Platform lets these organizations operationalize GPU and compute infrastructure with self-service automation, governance, and multi-tenancy, spanning bare metal provisioning, infrastructure lifecycle management, virtual machines, Kubernetes, GPU PaaS, AI development environments, and Token Factory  for publishing AI models as token-metered inference services. By simplifying orchestration and operations across this stack, Rafay helps operators increase GPU utilization and turn raw infrastructure into monetizable, production-ready AI services, all while maintaining security, consistency, and control. For more information, visit rafay.co.

Media Contact
H/Advisors on behalf of Aolani Cloud
klareco-aolani@h-advisors.global

Angela Shugarts
Rafay Systems
angela@rafay.co 

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Lianlian DigiTech and UnionPay International Partner to Deploy AI-Agent Payments for Global Procurement

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July 27, 2026

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HANGZHOU, China, July 27, 2026 /PRNewswire/ — Lianlian DigiTech and UnionPay International signed a strategic cooperation agreement on July 18 to develop AI-agent payment applications for cross-border commerce. Sun Dali, Co-President of Lianlian DigiTech, attended and signed on behalf of the company.

The partnership combines Lianlian DigiTech’s AI-agent platform with UnionPay International’s global payment network. Initial focus areas include global procurement and AI Token replenishment, with AI-assisted procurement workflows connecting directly to cross-border payment infrastructure. The broader collaboration will also encompass overseas merchant acceptance expansion and joint AI technology R&D.

Launching Deployment Global Procurement

Building on the existing B2B payment business cooperation between Lianlian DigiTech and Union Pay International, the partnership will be further extended into AI-Agent payment Scenarios. The inaugural application introduces a Human-in-the-Loop AI-agent payment solution for global procurement, which will effectively address enterprises’ pain points in cross-border B2B payments.

Cross-border purchasing has long suffered from structural inefficiencies—protracted settlement cycles, exchange-rate volatility, layered compliance demands, and manual reconciliation.

The partners will integrate AI-agent capabilities throughout the procurement workflow—from supplier matching and product selection to payment execution. Under the Human-in-the-Loop model, the AI agent executes procurement tasks autonomously while users retain final approval authority, marrying AI-driven efficiency with human judgment.

The partners will use global procurement as the initial deployment, refining the experience and architecture based on real-world feedback, with a longer-term ambition to drive industry-wide standardization and broader adoption of AI-agent payment solutions across additional business verticals.

Long-Term Technology Collaboration

Beyond expanding AI-agent payment applications internationally, the two companies will collaborate on AI technologies for financial services through ongoing technical exchanges and joint development, advancing innovation and broader industry adoption.

Lianlian DigiTech said the partnership reflects its long-term commitment to integrating AI with cross-border payments. As an AI-native company building global financial infrastructure, it views this collaboration as an important step in bringing AI-agent payment technologies into commercial use, and will continue working with industry partners to provide businesses with more intelligent global payment services.

UnionPay International noted that as AI reshapes financial services, intelligent and digital transformation have become essential to sustainable industry growth. Drawing on its global payment network and seamless B2B digital payment solutions, including Virtual Commercial Card Program, it will work with Lianlian DigiTech to promote standardization and scaled adoption of AI-agent payments, ensuring AI-driven financial innovation supports the real economy.

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Siemens advances self-verifying agentic AI workflows for semiconductor and PCB design

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16 minutes ago

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July 27, 2026

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Combines Siemens’ EDA expertise and software with NVIDIA AI infrastructure and software to improve result quality, time-to-results, tool-calling reliability and token efficiency for long-running engineering workloadsEnables agentic AI workflows that help engineers improve productivity and design quality across the electronic design automation (EDA) lifecycleDelivers more predictable, trusted outcomes through physics-based EDA software validationIntegrates with Siemens’ Intelligence Center X, supporting agent creation and orchestration, and intelligence into broader enterprise reasoning across design, manufacturing and supply chain operations

PLANO, Texas, July 26, 2026 /PRNewswire/ — Siemens today announced an expansion of its strategic partnership with NVIDIA to deliver self-verifying agentic AI workflows to EDA, helping semiconductor and printed circuit board (PCB) engineering teams move from autonomous task orchestration toward more trusted, continuously validated engineering outcomes. The new capabilities build on Siemens’ recently introduced Fuse™ EDA AI Agent system and add new NVIDIA AI technology to help long-running, domain scoped, AI agents reason, act and continuously validate decisions against deterministic, physics-based EDA engines.

The updates to Siemens’ Fuse EDA AI Agent are designed to help the semiconductor and PCB industry move beyond simple automation and deliver trusted and verifiable outcomes that improve result quality, time-to-results, tool-calling reliability and token efficiency across long-running engineering workloads. The Fuse EDA AI Agent system is now integrated into Siemens’ recently launched Intelligence Center X, supporting agent creation and orchestration in Siemens’ enterprise industrial AI environment. Intelligence Center X delivers AI-driven, coordinated processes across design, manufacturing and supply chain – enhancing the comprehensive Digital Twin to support smarter execution and more trusted outcomes.

“Our expanded collaboration with NVIDIA enhances our domain-specific industrial AI, physics-based EDA engines and accelerated computing to create trusted, self-verifying AI workflows,” said Amit Gupta, senior vice president and chief AI strategy officer, Siemens EDA, Siemens Digital Industries Software. “By enabling autonomous and long-running EDA AI agents to continuously validate their decisions against proven engineering tools accurately and efficiently, we help customers accelerate development, improve design quality and increase confidence in trusted engineering outcomes.”

“Semiconductor and PCB design are among the most complex engineering challenges in the world, and AI agents need trusted tools to reason, act and verify their work,” said Timothy Costa, vice president and general manager of computational engineering at NVIDIA. “Siemens is combining its EDA software with NVIDIA accelerated computing, AI software and Nemotron open models to create self-verifying agentic workflows that improve design quality, speed up results and give engineering teams greater confidence in every step of the process.”

Enabling trusted self-verifying AI agents for semiconductor and PCB design

The Fuse EDA AI Agent solution now combines Siemens engineering intelligence and trusted verification capabilities with NVIDIA AI infrastructure technologies to execute complex semiconductor design tasks with enhanced speed and precision:

Optimized EDA agents built with NVIDIA NeMo Gym open library for agentic environments improve result quality, speed and token efficiency for semiconductor and PCB design. This empowers customers with EDA design flows that get smarter over time with self-verifying agents which learn from every project to automatically improve execution strategies, optimize workflows and make better use of accumulated context.The NVIDIA OpenShell secure runtime enables enterprise scale design teams to run autonomous agents across their entire EDA environment with enterprise-grade security, access controls and audit trails within governed runtime environments.Advanced reasoning with the latest NVIDIA Nemotron models and Switchyard accelerates design with AI agents that understand complex engineering trade-offs at the speed of AI reasoning and supports complex engineering workflows with improved performance and token efficiency.NVIDIA accelerated computing and CUDA-X libraries helps design teams achieve signoff-quality results in hours instead of days, powering both AI reasoning and EDA engines for dramatic speedups without sacrificing accuracy.

Together, these capabilities enable secure and token-efficient multi-agent coordination, real-time feedback and improved convergence across semiconductor and PCB design and verification flows, helping customers achieve trusted engineering outcomes.

Comprehensive end-to-end design automation

Building on these capabilities, Siemens’ Fuse EDA AI Agent orchestrates workflows across the semiconductor and PCB lifecycle. Domain-specific agents collaborate across synthesis, verification, implementation and validation processes to optimize outcomes holistically.

The new offering spans Siemens’ EDA technologies across the full semiconductor and electronics lifecycles, from high-level synthesis with Catapult, verification with Questa One and Veloce, and custom IC design and verification with Solido, through to physical implementation with Aprisa, signoff verification with Calibre and design-for-test with Tessent. It also supports advanced 3D IC integration using Innovator3D IC and PCB design with Xpedition.

Accelerating custom integrated circuit (IC) design with agentic AI

The expanded collaboration enhances Siemens’ Solido Characterization Suite with agentic AI capabilities. These agentic workflows automate library characterization by automatically generating and verifying Liberty files by running Solido Characterizer with Solido LibSPICE, Solido Generator and Solido Analytics. The solution delivers production-proven results for advanced-node standard cell, memory and custom IP libraries while reducing characterization turnaround times by more than 10X and achieving over a 5X to 10X reduction in token costs.

These agentic capabilities extend further into the custom IC design flow with the new Solido Layout Analyzer, an AI-powered measurement-aware solution for visualizing, exploring and analyzing parasitic and layout-dependent effects in post-layout designs. Integrated with Fuse EDA AI Agent, Solido Layout Analyzer dramatically boosts design quality and engineering productivity by enabling natural language prompting with results analysis, fixing recommendations, and report generation.

“For STMicroelectronics’ non-volatile memory team, the ability to relate layout insight directly to electrical behavior is critical. Rather than discovering layout dependent effects late in the process, Solido Layout Analyzer brings this analysis earlier into the flow, improving design confidence and helping cut down the time we spend debugging complex design blocks by weeks. We are planning to test and validate the advantages in our on-going design activity,” said Gianbattista Lo Giudice, Non-Volatile Memory Design manager, STMicroelectronics.

Accelerating digital verification with agentic AI

With verification consuming up to 70 percent of design time and complexity, the industry faces an unprecedented productivity crisis. Building on the recently announced Questa One Agentic Toolkit, Siemens is extending these domain-scoped agentic AI workflows with NVIDIA’s Nemotron 3 Ultra reasoning model, designed for complex, long-running agents. In agentic RTL benchmarking with the ACE-RTL agent, Nemotron 3 Ultra leads among open models. Its reasoning and efficiency help autonomous agents evaluate engineering trade-offs while continuously validating designs against golden test harness. This enables teams to identify issues earlier, accelerate verification closure, and deliver trusted outcomes faster.

“We’re at an inflection point where the complexity of AI chips, chiplets, and 3D ICs has outpaced traditional verification methodologies,” said Abhi Kolpekwar, senior vice president and general manager Digital Verification Technologies, Siemens EDA, Siemens Digital Industries Software, “agentic AI is the natural path forward that scales with this complexity—agents that can orchestrate multi-domain verification, reason across billions of test scenarios, and deliver production-quality results in timeframes that were impossible just two years ago.” path forward that scales with this complexity—agents that can orchestrate multi-domain verification, reason across billions of test scenarios, and deliver production-quality results in timeframes that were impossible just two years ago.”

Availability

Siemens’ expanded AI-driven EDA capabilities will be available in forthcoming releases of Siemens’ AI-native EDA portfolio. To learn more about how Siemens is bringing the power of Agentic AI to the EDA industry, visit https://www.siemens.com/en-us/products/fuse-eda-ai-system/agent/

Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens’ software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today’s ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation.

Siemens Digital Industries (DI) empowers companies of all sizes within the process and discrete manufacturing industries to accelerate their digital and sustainability transformation across the entire value chain. Siemens’ cutting-edge automation and software portfolio revolutionizes the design, realization and optimization of products and production. And with Siemens Xcelerator – the open digital business platform – this process is made even easier, faster, and scalable. Together with our partners and ecosystem, Siemens Digital Industries enables customers to become a sustainable Digital Enterprise. Siemens Digital Industries has a workforce of around 70,000 people worldwide.

Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations. Further information is available on the Internet at www.siemens.com.

Note: A list of relevant Siemens trademarks can be found here. Other trademarks belong to their respective owners.

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SOURCE Siemens Industry Software

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