OpenAI is preparing for what could become one of the largest initial public offerings in history, exploring a listing that could value the company at up to $1 trillion, according to people familiar with the discussions. The move would position the ChatGPT maker alongside Apple, Microsoft, and Nvidia as one of the most valuable publicly traded firms in the world.

Sources told Reuters and WSJ that OpenAI has begun internal planning for a potential IPO filing as soon as late 2026, though Chief Financial Officer Sarah Friar has reportedly discussed 2027 as a more realistic timeline. The company is weighing an initial raise of around $60 billion, but advisors say that number could climb significantly depending on market conditions and revenue performance.

“An IPO is not our focus, so we could not possibly have set a date,” an OpenAI spokesperson said. “We are building a durable business and advancing our mission so everyone benefits from AGI.” Still, the company’s evolving structure and rising financial momentum suggest that going public is no longer a distant scenario.

OpenAI’s annualized revenue run rate is projected to reach $20 billion by the end of 2025, a tenfold increase from just two years ago. That growth has been driven by widespread adoption of ChatGPT, API licensing, and enterprise partnerships for custom AI models. Yet insiders say that losses have also grown substantially, as the company pours resources into data centers, model training, and chip procurement.

During a livestream earlier this week, CEO Sam Altman addressed investor speculation directly. “I think it’s fair to say it is the most likely path for us, given the capital needs that we’ll have,” he said, referring to the company’s expanding infrastructure investments.

The prospect of a trillion-dollar IPO comes after a major corporate restructuring that streamlined OpenAI’s hybrid governance model. The nonprofit entity – now named the OpenAI Foundation – retains a 26% stake in OpenAI Group and holds warrants for additional shares tied to performance milestones. This shift reduces the company’s dependence on Microsoft while preserving its nonprofit oversight principles.

A successful offering would mark a windfall for major investors including Microsoft, which holds about 27% of OpenAI, along with SoftBank, Thrive Capital, and Abu Dhabi’s MGX. Microsoft has invested over $13 billion in the company since 2019, and the partnership continues to underpin OpenAI’s infrastructure and Azure-based computing backbone.

The IPO would also enable OpenAI to raise capital more efficiently, pursue strategic acquisitions, and finance Altman’s long-term goal of building AI supercomputing capacity on a multi-trillion-dollar scale. Insiders say the company is already exploring new chip development initiatives and expanding collaborations with Broadcom and AMD to support its exponential computing needs.

The timing coincides with record investor enthusiasm for AI. CoreWeave, another AI infrastructure company, went public earlier this year at a $23 billion valuation and has since tripled in market value. Meanwhile, Nvidia became the world’s first $5 trillion company this week, cementing its dominance in AI hardware.

If OpenAI proceeds with a 2026–2027 listing, it could set a new benchmark for the public markets – both in scale and in the strategic significance of artificial intelligence. For investors, it would represent the ultimate bet on the technology driving the next decade of global innovation.

Cisco (NASDAQ: CSCO) today announced a major leap forward in AI infrastructure, unveiling the Cisco N9100 series switch and the first NVIDIA Cloud Partner-compliant reference architecture for neocloud and sovereign cloud deployments. The announcements, made at GTC, highlight Cisco’s partnership with NVIDIA to provide enterprises, service providers, and telecom operators with flexible, scalable, and secure AI-ready solutions.

The Cisco N9100 series switch, powered by NVIDIA Spectrum-X Ethernet silicon, offers customers the choice of NX-OS or SONiC operating systems, supporting high-performance AI networking with unprecedented flexibility. Leveraging Cisco Silicon One-based switches and embedded NVIDIA capabilities, the N9100 enables a unified operating model and full compatibility with NVIDIA Cloud Partner design principles.

“We’re at the beginning of the largest data center build-out in history,” said Jeetu Patel, President and Chief Product Officer at Cisco. “The infrastructure powering next-generation AI applications requires new architectures that overcome today’s limitations in power, compute, and network performance. Together with NVIDIA, we’re defining the technologies for AI-ready data centers across enterprises, neoclouds, and global service providers.”

Gilad Shainer, SVP of Networking at NVIDIA, added, “Spectrum-X Ethernet delivers the performance required for accelerated AI networking. Cisco’s reference architectures enable customers to deploy open, high-performance networks tailored to AI workloads using Cisco N9100 and Silicon One-based switches.”

Cisco Cloud Reference Architecture: Flexible AI Infrastructure

Cisco’s new Cloud Reference Architecture is designed for neocloud and sovereign cloud customers, integrating Cisco Silicon One and Cloud-scale ASICs, NVIDIA BlueField-4 DPUs, and NVIDIA ConnectX-9 SuperNICs. Enterprises can deploy Cisco AI PODs and Nexus switching to optimize GPU-based AI workloads, including generative AI fine-tuning and inference.

The Secure AI Factory with NVIDIA strengthens security and observability for enterprise AI deployments. Cisco AI Defense integrates with NVIDIA NeMo Guardrails to protect sensitive AI data, while Splunk Observability Cloud provides real-time monitoring of AI workloads. Kubernetes-based solutions, including Cisco Isovalent and Nutanix platforms, enable seamless orchestration and containerized inference services.

Pioneering AI-Native Wireless Networks

Cisco, NVIDIA, and telecom partners also introduced the first AI-native wireless stack for 6G networks, enabling AI-infused connectivity from 5G advanced services to pre-6G applications. The stack integrates Cisco’s 5G core and user plane functions with NVIDIA AI Aerial platforms, creating a foundation for efficient, secure, and AI-driven mobile networks.

Driving AI Adoption Across Industries

Through these innovations, Cisco and NVIDIA provide a comprehensive AI ecosystem spanning neoclouds, enterprises, and telecom providers. With flexible switching solutions, secure AI infrastructure, and next-generation wireless capabilities, organizations can efficiently scale AI while maintaining control, performance, and security.

PayPal has struck a landmark deal with OpenAI to become the first digital wallet embedded directly within ChatGPT, enabling users to make purchases and merchants to sell products through the world’s leading consumer AI platform. The agreement, finalized over the weekend, marks a major step toward AI-driven e-commerce and what executives are calling the beginning of “agentic shopping.”

“Hundreds of millions of people turn to ChatGPT each week for help with everyday tasks, including finding products they love, and over 400 million use PayPal to shop,” said Alex Chriss, President and CEO of PayPal. “By partnering with OpenAI and adopting the Agentic Commerce Protocol, PayPal will power payments and commerce experiences that help people go from chat to checkout in just a few taps for our joint customer bases.”

Starting next year, both sides of PayPal’s ecosystem – consumers and merchants – will be able to transact through ChatGPT. Users can search for items using conversational prompts and complete purchases via a “Buy with PayPal” button without leaving the chat.

Merchants in PayPal’s network will have their inventories integrated into ChatGPT’s marketplace, giving them access to the platform’s more than 700 million weekly users.

“We’ve got hundreds of millions of loyal PayPal wallet holders who now will be able to click the ‘Buy with PayPal’ button on ChatGPT and have a safe and secure checkout experience,” said Alex Chriss in an interview with CNBC.

The partnership represents one of the first large-scale integrations between a major fintech platform and a conversational AI system. It builds on OpenAI’s recent push to transform ChatGPT into a digital assistant capable of performing complex actions, from booking hotels to managing personal finances.

“It’s a whole new paradigm for shopping,” Chriss said. “It’s hard to imagine that agentic commerce isn’t going to be a big part of the future.”

OpenAI’s recent e-commerce integrations include partnerships with Shopify, Etsy, and Walmart, allowing ChatGPT users to browse, compare, and now purchase goods directly through the app. PayPal’s addition completes a critical layer — secure payments and merchant verification — that brings the AI shopping experience closer to a functioning marketplace.

Under the deal, PayPal will handle merchant routing, payment validation, and other back-end functions, so individual sellers don’t need to contract directly with OpenAI. The system will ensure that both merchants and buyers are verified, mitigating fraud and improving transaction transparency. Customers can pay with linked bank accounts, credit cards, or PayPal balances, while receiving full purchase protections, tracking, and dispute resolution.

Chriss emphasized that this integration goes beyond payments. “It’s not just that a transaction can happen,” he said. “It’s that this is a trusted set of merchants — the largest merchant network in the world from PayPal – that are verified, with the largest set of verified consumers in a consumer wallet.”

The company also revealed it is expanding the use of OpenAI’s enterprise AI tools internally to accelerate product development and enhance customer service operations. This includes using AI models for transaction analysis, fraud detection, and personalized merchant support.

Analysts view the partnership as a breakthrough moment for AI-driven commerce, one that could reshape how users discover and buy products online. With ChatGPT evolving into a conversational hub for search, recommendations, and transactions, PayPal’s integration gives OpenAI a built-in, secure payments layer – while positioning PayPal as the financial backbone of agentic AI.

The move continues PayPal’s broader strategy to align with AI’s future, following recent collaborations with Google and Perplexity AI. Together, these partnerships aim to anchor the company firmly in the next generation of digital commerce – one where consumers will simply tell their AI what they want, and the transaction will follow seamlessly.

Cathie Wood, founder and CEO of Ark Invest, believes the next great wave of artificial intelligence will not live in code or the cloud — but in physical machines that look and move like humans.

Speaking to CNBC at the Future Investment Initiative conference in Riyadh, Saudi Arabia, Wood said humanoid robots – machines built to mirror human size, shape, and movement – could represent the single largest opportunity in the entire AI landscape.

“I know a lot of people are worried about all the ‘AI hype,’” Wood said. “But as we’re looking to the future, especially with embodied AI, which is all about robotaxis and transforming the world of transportation completely – and then healthcare, which is probably one of the most profound applications of AI, we think that this investment will pay off.”

She added, “I think the chaser is going to be humanoid robots. And I think that is going to be the biggest of all the embodied AI opportunities.”

Wood’s comments come amid a surge of investor and corporate interest in embodied AI — systems that integrate artificial intelligence into physical forms capable of movement and interaction. Major companies including Tesla, Figure AI, and Agility Robotics are racing to build humanoid platforms for manufacturing, logistics, and personal assistance.

Tesla CEO Elon Musk recently said that his company’s Optimus robot could eventually account for 80 percent of Tesla’s total value, underscoring how central embodied AI could become to the broader economy.

Wood’s remarks also reflect her firm’s investment philosophy. The ARK Artificial Intelligence & Robotics UCITS ETF, one of her flagship funds, holds significant stakes in Tesla (9.16%), Palantir (7.02%), and AMD (6.14%) – companies she views as foundational to the AI and robotics ecosystem.

Beyond robotics, Wood emphasized the massive productivity gains that AI could deliver in both enterprise and consumer markets. “It is going to take a while for large corporations to prepare themselves to transform,” she said, noting that companies like Palantir will be critical in restructuring enterprises to fully capture AI’s potential.

In the consumer realm, she said, the adoption curve is moving much faster. “The consumer loves all of this,” Wood added. “We’re all looking forward to our personal assistants doing our shopping for us. I’m really excited about how much my productivity as an individual is going to increase with AI. It already has in terms of research.”

Still, Wood cautioned that the market may experience a short-term “reality check” as AI valuations adjust, even as she maintained that elevated Big Tech prices make sense over a five-year horizon.

For Wood, the long-term picture remains clear: the physical embodiment of AI – from humanoid robots to autonomous systems – will be the next trillion-dollar frontier in technology.

Elon Musk has launched Grokipedia, a new AI-powered encyclopedia built on his company’s Grok language model, positioning it as a direct alternative to Wikipedia. The platform, now live with more than 885,000 articles, promises “objective, bias-free information” curated entirely by artificial intelligence.

According to Musk, the purpose of Grokipedia is to provide “an objective presentation of facts without ideological distortion.” The entrepreneur has long criticized Wikipedia for what he calls political and cultural bias, and Grokipedia appears to be his answer — a system where algorithms, not editors, decide what qualifies as factual.

https://t.co/op5s4ZiSwh version 0.1 is now live.

Version 1.0 will be 10X better, but even at 0.1 it’s better than Wikipedia imo.

— Elon Musk (@elonmusk) October 28, 2025

Unlike Wikipedia, which relies on a global network of human contributors and consensus-based moderation, Grokipedia’s structure is fully automated. Users can submit suggestions and corrections, but the final decisions are made by the Grok AI system, not by a community of editors. The platform is open and free to use, designed to evolve through data-driven updates rather than editorial debates.

Early descriptions suggest that Grokipedia integrates Grok’s conversational capabilities, allowing users to query topics in natural language and receive dynamically generated summaries based on the AI’s understanding of verified sources. Over time, the system is expected to refine its knowledge base through continuous learning and contextual updates.

The launch underscores Musk’s ongoing campaign to challenge established digital platforms with AI-driven alternatives — from X (formerly Twitter) to xAI, his artificial intelligence company. Grokipedia, like Grok itself, aligns with his broader goal of building AI tools that reflect what he calls “truth-seeking intelligence,” in contrast to systems shaped by human bias or collective editing.

By positioning Grokipedia as a counterpoint to Wikipedia, Musk is inviting a philosophical debate about the future of knowledge: should the authority on facts belong to human consensus, or to machine reasoning?

As AI systems increasingly take part in content creation and curation, Grokipedia could become a test case for how artificial intelligence redefines trust, objectivity, and the nature of information itself.

Andrew Tulloch, one of Silicon Valley’s most sought-after AI engineers, has left Thinking Machines Lab, the $12 billion startup he co-founded with former OpenAI CTO Mira Murati, to join Meta. The move follows months of speculation surrounding Tulloch’s next step – and comes after he reportedly declined a Meta offer earlier this year worth up to $1.5 billion over six years.

Tulloch’s departure marks a significant moment in the escalating talent wars among major AI players. According to sources familiar with the matter, his decision to leave Thinking Machines Lab was made for “personal reasons,” though neither company disclosed the terms of his new role. Meta confirmed the hire but declined to comment on compensation or responsibilities.

Tulloch began his career at Goldman Sachs before transitioning into the tech sector. In 2012, he joined Facebook (now Meta), where he spent more than a decade building machine learning and large-scale infrastructure systems. His work contributed to early versions of Meta’s AI architecture, forming the foundation for the company’s later advances in generative and recommendation AI.

In 2023, Tulloch joined OpenAI, where he helped design internal systems that scaled the training of large models, including GPT-4. These systems optimized OpenAI’s hardware utilization, cutting training times and operational costs, and became a cornerstone of the company’s expansion into large-scale inference workloads.

After leaving OpenAI, Tulloch co-founded Thinking Machines Lab in early 2025 with Murati. The startup quickly became one of the most closely watched newcomers in the AI space, raising $2 billion in funding and achieving a $12 billion valuation within months. Its flagship product, Tinker, launched as an API platform for fine-tuning and deploying large language models tailored to enterprise needs.

The company’s rapid rise drew interest from major tech firms. Mark Zuckerberg reportedly attempted to acquire Thinking Machines Lab earlier this year but was rebuffed. When the acquisition failed, Meta pursued Tulloch directly, offering him a compensation package estimated at $1.5 billion, tied to performance and stock options. Tulloch turned it down, and at the time, no senior staff left the startup.

His eventual move to Meta, announced this week, surprised many industry insiders. People close to the company described the decision as a “quiet personal shift” rather than a strategic exit. A spokesperson for Thinking Machines Lab said Tulloch “chose to step away to pursue a different path,” while reaffirming that Murati remains CEO and that the company’s roadmap remains unchanged.

Meta has not yet revealed Tulloch’s official title or responsibilities, but insiders suggest he will join Meta’s AI Research and Infrastructure group, focusing on large-model training efficiency and scaling.

Tulloch’s move underscores the intensity of competition among Big Tech firms vying for top AI talent – where billion-dollar offers, equity-heavy packages, and strategic hires are becoming standard in the race to dominate artificial intelligence’s next frontier.

Oracle has unveiled a major expansion of its AI platform, introducing the AI Agent Marketplace and enhanced AI Agent Studio as part of its Fusion Applications suite. The move, announced at Oracle AI World 2025, marks a significant milestone in the company’s effort to make AI agents a core component of enterprise operations.

Our new AI Agent Marketplace in Fusion Applications gives you access to enterprise-ready, partner-built AI agents to tackle complex business challenges with ease: https://t.co/SH7QxqQzh7 pic.twitter.com/xYdC49So4R

— Oracle (@Oracle) October 15, 2025

The new AI Agent Marketplace allows customers to access, deploy, and customize partner-built, Oracle-certified AI agents designed for industry-specific use cases. These agents extend the functionality of Oracle’s pre-built AI tools within Fusion Applications, which span financial management, human resources, supply chain, and customer experience software. By integrating directly into existing workflows, the marketplace enables organizations to automate business processes without building AI infrastructure from scratch.

“Organizations are grappling with rising business complexity and the urgent need to accelerate AI adoption,” said Chris Leone, Oracle’s executive vice president of Applications Development. “With our AI Agent Marketplace, we are providing customers and partners a unified environment to securely scale automation, extend functionality, and generate tangible results across their business.”

Oracle also expanded its AI Agent Studio, the company’s low-code development environment for creating and managing AI agents. The platform now supports a broad set of large language models, including OpenAI, Anthropic, Cohere, Google, Meta, and xAI, allowing businesses to choose the model that best fits their requirements. New tools include multi-agent collaboration, retrieval-augmented generation (RAG) for context-aware responses, and observability dashboards for monitoring and optimizing performance.

The update builds on Oracle’s commitment to interoperability through the Model Context Protocol (MCP), which allows seamless communication between AI agents, enterprise data sources, and external applications. Companies can now deploy multi-modal AI solutions capable of interpreting text, documents, and visuals, while maintaining the governance and security controls Oracle is known for.

To accelerate adoption, Oracle is leveraging its ecosystem of more than 32,000 certified AI professionals. These specialists will help enterprises deploy agent-based automation while contributing pre-tested solutions to the marketplace. Oracle said this global network of experts will be instrumental in developing new templates for finance, operations, procurement, and customer support workflows.

Analysts say the new marketplace positions Oracle as a strong contender in the race to operationalize AI for large enterprises. “Oracle is setting a new standard for enterprise AI,” said Mickey North Rizza, Group Vice President at IDC. “The integration of AI agents into Fusion Applications demonstrates that Oracle is not just delivering tools but building an ecosystem for intelligent automation at scale.”

The expansion follows a series of recent Oracle announcements aimed at strengthening its AI capabilities. At the same conference, the company confirmed its plan to deploy 50,000 AMD Instinct MI450 GPUs by 2026, reinforcing its infrastructure backbone for AI training and inferencing workloads. Together, these initiatives underscore Oracle’s ambition to provide a vertically integrated AI platform that combines infrastructure, data, and software under one cloud.

“The Oracle Fusion Applications AI Agent Marketplace is an ideal platform to deploy KPMG’s deep industry and domain-specific AI agents directly into business workflows,” says Swami Chandrasekaran, KPMG Global AI & Data Labs Leader. “Our Purchase Order Item Price History agent is a great example of this—it autonomously assembles and evaluates historical data to deliver immediate, actionable procurement insights and next-step recommendations at the moment of decision. This marketplace is a key enabler for us at KPMG, as it helps us deploy and distribute this next-generation AI securely, responsibly, and at scale, allowing our clients to make critical business decisions with greater speed and confidence.”

As competitors like Microsoft and Salesforce race to embed AI assistants into business applications, Oracle’s approach stands out for its focus on controlled customization and enterprise security. The company’s strategy reflects a broader shift from AI experimentation to production-grade deployment — where success is measured by speed, compliance, and measurable return on investment.

Prezent AI, a California-based startup using artificial intelligence to automate enterprise presentations, has raised $30 million in new funding and acquired Prezentium, a leading business presentation services firm specializing in the life sciences sector. The combined company aims to redefine corporate communication by fusing AI automation with expert human design and storytelling.

The future of business communication just got a major upgrade.

We’ve officially acquired Prezentium, the leading presentation services company for Life Sciences.

Together, we’re building the first all-in-one Human + AI platform for enterprise communication—where expert… pic.twitter.com/qLdUVxI0C4

— Prezent (@ThePrezentai) October 14, 2025

The round was led by Multiplier Capital and Nomura Strategic Ventures, with participation from True Global Ventures, Greycroft, and existing backers Emergent Ventures and Alumni Ventures, according to the True Global Ventures’ press release. The deal values Prezent AI at approximately $400 million, underscoring investor confidence in its “AI + human” model for large enterprises.

Founded by Rajat Mishra, Prezent AI has created what it calls a new category at the intersection of artificial intelligence, communication, and enterprise productivity. Unlike traditional presentation tools or agencies, its platform blends algorithmic automation with creative services, offering Fortune 2000 clients a single environment to accelerate and elevate their business communication.

“The acquisition of Prezentium strengthens this vision,” Mishra said. “Our north star is delivering great business communication outcomes — powered by AI acceleration and human expertise. With Prezentium joining our platform, we’re one step closer to building the complete AI-enabled communication lifecycle for enterprises.”

Prezentium, founded by Deepti Juturu, has built a strong reputation for rapid, high-quality presentation design for corporate clients in healthcare and technology. The integration brings together Prezent AI’s automation engine with Prezentium’s human designers, offering customers a comprehensive “AI + services” solution that delivers faster results and measurable productivity gains.

According to Mishra, the company’s goal is to disrupt the $20 billion global agency and consultancy market by providing an intelligent alternative that can transform data into business-ready presentations in minutes. Its platform enables users to build brand-aligned sales decks, executive reviews, and strategic updates at scale — all while maintaining corporate design standards.

Prezent AI’s technology integrates with enterprise systems through APIs and presentation agents, allowing organizations to create what it calls a “Company Presentation Brain” — a central knowledge model that compounds insights over time. This capability helps businesses reuse, adapt, and continuously improve communication assets rather than rebuilding from scratch for every new project.

Investors see the merger as a natural next step for the company. “The combined entity offers corporate clients far greater flexibility in how they approach business communication,” said Frank Desvignes, founding partner at True Global Ventures. “This unique blend of AI acceleration and human expertise enables enterprises to communicate faster and at scale.”

Prezent plans to expand its platform across industries including technology, finance, and manufacturing. Future updates will add multimodal presentation creation, allowing users to generate decks via text, voice, or video, and AI avatars for automated delivery — a move that places it among a new generation of companies merging automation with creative intelligence.

Based in Los Altos, California, Prezent AI now serves global clients seeking to modernize corporate storytelling and presentation workflows. With fresh capital and its first major acquisition complete, the company is positioning itself as a key player in transforming how enterprises think, design, and communicate ideas.

Oracle Cloud Infrastructure announced plans to deploy 50,000 AMD Instinct MI450 graphics processors starting in the second half of 2026, marking one of the largest single expansions of AI computing power by a major cloud provider.

The move reflects how cloud companies are increasingly turning to AMD as an alternative to Nvidia’s dominant GPU lineup amid surging global demand for artificial intelligence infrastructure.

AMD shares rose about 3% in early trading following the announcement, while Oracle stock slipped slightly. The deployment will use AMD’s MI450 accelerators, introduced earlier this year, which represent the company’s first rack-scale AI system.

The design allows up to 72 chips to work in tandem as a single unit, providing the kind of high-bandwidth performance required for large-scale training and inferencing workloads.

Karan Batta, senior vice president of Oracle Cloud Infrastructure, said AMD’s chips will play a growing role in the company’s cloud portfolio. “We feel like customers are going to take up AMD very, very well – especially in the inferencing space,” he said during an interview. Batta added that AMD’s software stack is “critical” to enabling developers to train and deploy models efficiently on Oracle’s platform.

The partnership further strengthens the ties between Oracle, AMD, and OpenAI, which have deepened over the past several months. Earlier this year, OpenAI and AMD signed a multi-gigawatt compute deal to power future generations of large language models, potentially involving up to 160 million AMD shares if performance milestones are met.

The agreement complements OpenAI’s five-year, $300 billion cloud partnership with Oracle announced in September, positioning Oracle as a primary infrastructure provider for OpenAI’s rapidly growing workloads.

Oracle’s founder and chairman Larry Ellison is expected to outline further details of the company’s AI strategy at Oracle AI World 2025, emphasizing how Oracle plans to challenge Microsoft, Amazon, and Google in the race for AI cloud leadership. Analysts see the AMD partnership as part of a broader strategy to reduce reliance on Nvidia while leveraging Oracle’s deep enterprise data assets and software capabilities.

“The company must now prove that beyond capacity, it can capitalize on its massive underlying data and enterprise capabilities to add meaningful value to the AI wave,” said Daniel Newman, CEO of The Futurum Group.

OpenAI CEO Sam Altman has praised AMD’s progress, appearing alongside AMD CEO Lisa Su earlier this year to unveil the MI450 series. The collaboration highlights OpenAI’s multi-supplier approach, which also includes partnerships with Broadcom for custom AI chips and Nvidia for high-performance GPU clusters.

By 2026, Oracle’s deployment of AMD systems could become one of the largest dedicated AI infrastructures in the world – a cornerstone of the company’s effort to establish itself as a critical backbone for enterprise-scale AI computing.