--- 格式版本: 2 标题: "NVIDIA GTC 2026 金融服务会议" 原文链接: "https://www.nvidia.cn/gtc/sessions/financial-services/" 发布日期: "2026-09-04" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "rule:local:strict_original_body" 发布时间证据: "Published Time: Fri, 04 Sep 2026 11:08:01 GMT" 发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body" 发布时间校准置信度: "high" 发布时间候选数量: 4 发布时间严格候选数量: 1 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-09-06T01:09:13+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-09-06T00:24:20+08:00" 入库时间: "2026-09-05T17:13:50.089Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://www.nvidia.cn/gtc/" 匹配关键词: - "roadmap" - "delivery" - "部署" - "deployment" - "性能" - "performance" - "latency" - "GPU" - "AI" 相关厂家: - "NVIDIA" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 34 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文主线是NVIDIA官方GTC 2026金融服务议程及量化投资、反欺诈、交易和金融智能体等应用型会议摘要，并非机架级AI基础设施。当前页面为厂商官方会议专题页，来源权威且议程信息较完整；与知识库中的机架路线、AI NIC、交换芯片及新一代机架产品相比，未新增可核验的机架拓扑、互连、供电、液冷、RAS、量产或规模部署事实。少量GPU、加速网络和AI factory表述仅为应用背景，命中“应用与模型效率”及无基础设施新增的会议综述否决项。" AI质检模型: "gpt-5.6-sol" AI质检时间: "2026-09-08T16:36:49+08:00" AI主题相关性: 2 AI来源权威性: 15 AI新颖性: 5 AI技术细节: 3 AI商业部署信号: 1 AI完整性: 8 AI评分提示词版本: "v17-精简生产版" AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d" AI评分知识库版本: "knowledge_base_v1-20260819+runtime.89" AI评分知识库SHA256: "d189746fc3aa9b189a3266c4540ac047c6c2d69b60f1544fdbc17f4bf8d040c2" AI评分知识库检索词: "[\"NVIDIA\",\"roadmap\",\"delivery\",\"deployment\",\"性能\",\"performance\",\"latency\",\"GPU\",\"https://www.nvidia.cn/gtc/\",\"RAS\",\"英伟达\",\"Intel\"]" AI评分知识库命中: "[{\"id\":\"july-correct-0026\",\"title\":\"The Rackscale AI System Roadmaps That AMD Is Using To Chase Money\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"roadmap\",\"performance\",\"GPU\",\"RAS\",\"Intel\"],\"rank\":-11.794873344842955},{\"id\":\"runtime-94cb0be38e787f74feef8ece\",\"title\":\"With Taalas, AMD Can Bake AI Inference Directly Into Its Chippery\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-07\",\"matchedTerms\":[\"NVIDIA\",\"roadmap\",\"performance\",\"latency\",\"GPU\",\"RAS\",\"Intel\"],\"rank\":-11.685527458935509},{\"id\":\"july-correct-0065\",\"title\":\"AMD Pensando™ Vulcano 800 AI NIC: Built to Scale-Out and Across\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"roadmap\",\"deployment\",\"performance\",\"latency\",\"GPU\",\"RAS\"],\"rank\":-11.512478940327654},{\"id\":\"runtime-f189311ea2754e83ede89a96\",\"title\":\"Cerebras's Next Generation CS-4: Fast Just Got Faster\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-19\",\"matchedTerms\":[\"NVIDIA\",\"roadmap\",\"delivery\",\"deployment\",\"performance\",\"latency\",\"GPU\",\"RAS\"],\"rank\":-11.441381119277326},{\"id\":\"july-correct-0025\",\"title\":\"Marvell Brings Radix, Low Latency, And Bandwidth To Bear With Teralynx T100\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"roadmap\",\"delivery\",\"deployment\",\"performance\",\"latency\"],\"rank\":-10.918255060412843}]" 采集批次: "2026年9月6日0点59分28秒" 采集批次ID: "20260906-005928-61f855f3" 去重键: "https://www.nvidia.cn/gtc/sessions/financial-services" --- Title: NVIDIA GTC 2026 金融服务会议 URL Source: https://www.nvidia.cn/gtc/sessions/financial-services/ Published Time: Fri, 04 Sep 2026 11:08:01 GMT Markdown Content: Visit your regional NVIDIA website for local content, pricing, and where to buy partners specific to your country. [Continue](https://www.nvidia.com/) 即将举行：探索其他 GTC 大会：[**GTC 柏林** 10 月 20 — 22 日](https://www.nvidia.com/en-eu/gtc/) | [**GTC 华盛顿特区** 11 月 30 日 — 12 月 3 日](https://www.nvidia.com/gtc/dc/) | [**GTC 2027** 3 月 15 — 18 日](https://www.nvidia.cn/gtc/) * [](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [](https://www.nvidia.cn/account/) * [登录](https://www.nvidia.cn/gtc/sessions/financial-services/#)[LogOut](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [简中](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [EN](https://www.nvidia.com/gtc/) * [한국어](https://www.nvidia.com/ko-kr/gtc/) * [日本語](https://www.nvidia.com/ja-jp/gtc/) * [繁中](https://www.nvidia.com/zh-tw/gtc/) * [简中](https://www.nvidia.cn/gtc/) * [DE](https://www.nvidia.com/de-de/gtc/) * [FR](https://www.nvidia.com/fr-fr/gtc/) 平台 其他链接 [](https://www.nvidia.cn/gtc/) [主题演讲](https://www.nvidia.cn/gtc/keynote/) 探索 * [大会主题](https://www.nvidia.cn/gtc/conference-topics/) * [海报展示](https://www.nvidia.cn/gtc/posters/) * [演讲嘉宾](https://www.nvidia.cn/gtc/speakers/) * [创业公司和投资机构](https://www.nvidia.cn/gtc/startups/) * [培训和认证](https://www.nvidia.cn/gtc/training/) [赞助商和参展商](https://www.nvidia.cn/gtc/sponsors/) 更多 * [行为准则](https://www.nvidia.cn/gtc/code-of-conduct/) * [联系我们](https://www.nvidia.cn/gtc/contact/) * [常见问题](https://www.nvidia.cn/gtc/faq/) * [隐私政策](https://www.nvidia.cn/about-nvidia/privacy-policy/) * [查看所有 GTC 活动](https://www.nvidia.cn/gtc/events/) * [主题演讲](https://www.nvidia.cn/gtc/keynote/) * 探索 * [大会主题](https://www.nvidia.cn/gtc/conference-topics/) * [海报展示](https://www.nvidia.cn/gtc/posters/) * [演讲嘉宾](https://www.nvidia.cn/gtc/speakers/) * [创业公司和投资机构](https://www.nvidia.cn/gtc/startups/) * [培训和认证](https://www.nvidia.cn/gtc/training/) * [赞助商和参展商](https://www.nvidia.cn/gtc/sponsors/) * 更多 * [行为准则](https://www.nvidia.cn/gtc/code-of-conduct/) * [联系我们](https://www.nvidia.cn/gtc/contact/) * [常见问题](https://www.nvidia.cn/gtc/faq/) * [隐私政策](https://www.nvidia.cn/about-nvidia/privacy-policy/) * [查看所有 GTC 活动](https://www.nvidia.cn/gtc/events/) * [](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [简中](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [EN](https://www.nvidia.com/gtc/) * [한국어](https://www.nvidia.com/ko-kr/gtc/) * [日本語](https://www.nvidia.com/ja-jp/gtc/) * [繁中](https://www.nvidia.com/zh-tw/gtc/) * [简中](https://www.nvidia.cn/gtc/) * [DE](https://www.nvidia.com/de-de/gtc/) * [FR](https://www.nvidia.com/fr-fr/gtc/) [点播观看](https://www.nvidia.cn/on-demand/search/?facet.event_name[]=GTC%20San%20Jose&facet.event_year[]=2026&facet.mimetype[]=event%20session&headerText=All%20Sessions&layout=list&page=1&q=-&sort=relevance&sortDir=desc>cnavinherit=true)[](https://www.nvidia.cn/gtc/sessions/financial-services/# "Menu") [点播观看](https://www.nvidia.cn/on-demand/search/?facet.event_name[]=GTC%20San%20Jose&facet.event_year[]=2026&facet.mimetype[]=event%20session&headerText=All%20Sessions&layout=list&page=1&q=-&sort=relevance&sortDir=desc>cnavinherit=true)[](https://www.nvidia.cn/gtc/sessions/financial-services/# "Menu") * [主题演讲](https://www.nvidia.cn/gtc/keynote/) * [探索](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [探索](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [大会主题](https://www.nvidia.cn/gtc/conference-topics/) * [海报展示](https://www.nvidia.cn/gtc/posters/) * [演讲嘉宾](https://www.nvidia.cn/gtc/speakers/) * [创业公司和投资机构](https://www.nvidia.cn/gtc/startups/) * [培训和认证](https://www.nvidia.cn/gtc/training/) * [赞助商和参展商](https://www.nvidia.cn/gtc/sponsors/) * [更多](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [更多](https://www.nvidia.cn/gtc/sessions/financial-services/#) * [行为准则](https://www.nvidia.cn/gtc/code-of-conduct/) * [联系我们](https://www.nvidia.cn/gtc/contact/) * [常见问题](https://www.nvidia.cn/gtc/faq/) * [隐私政策](https://www.nvidia.cn/about-nvidia/privacy-policy/) * [查看所有 GTC 活动](https://www.nvidia.cn/gtc/events/) ![Image 1](https://www.nvidia.cn/content/dam/targeted-agenda/hero-banner/gtc26-target-agenda-multi-img-md460-d.jpg) # 金融服务会议 人工智能技术可以攻克现代金融服务业所面临的关键挑战。金融机构可以通过人工智能技术加强风险管理、改善数据支持的决策和安全性，并提升客户体验。听听资本市场、银行、支付和金融科技领域的领导者和创新者们如何构建 AI 驱动的解决方案。了解金融机构和企业如何利用 AI 优化流程、降低风险和成本。 [查看更多金融服务会议](https://www.nvidia.cn/gtc/session-catalog/?industries=Financial%20Services) ![Image 2](https://www.nvidia.cn/content/nvidiaGDC/cn/zh_CN/gtc/sessions/financial-services/_jcr_content/root/responsivegrid/nv_container/nv_container_temp3/nv_image.coreimg.100.410.png/1770411208869/gtc26-financial-services-trading-in-office-108-1770350398-26.png) ![Image 3](https://www.nvidia.cn/content/nvidiaGDC/cn/zh_CN/gtc/sessions/financial-services/_jcr_content/root/responsivegrid/nv_container/nv_container_temp3/nv_image_one.coreimg.100.190.png/1770411209002/gtc26-financial-services-fraud-alert-in-store-1770350398-25.png) ![Image 4](https://www.nvidia.cn/content/nvidiaGDC/cn/zh_CN/gtc/sessions/financial-services/_jcr_content/root/responsivegrid/nv_container/nv_container_temp3/nv_image_two.coreimg.100.190.png/1770411209127/gtc26-financial-services-fraud-alert-at-home-1-1770350398-24.png) ## 精选会议 Talk On-Demand ## **LLM 如何赋能量化投资 [S82281]** **洋 沈** | 金融工程分析师 | 华泰证券 **康 何** | 策略首席分析师，金融工程首席分析师 | 华泰证券 LLM 作为 AI 技术的核心分支，正在重塑量化投资范式。LLM 具有超乎寻常的语义理解与推理能力，可以作为强大的工具模型嵌入量化投资流程。 从 LLM 的输出随机性出发，我们可以依赖 LLM 进行因子挖掘，并基于 NVIDIA NIM 和 TensorRT-LLM 加速挖掘； 从 LLM 的语义理解能力出发，我们基于 GPU 本地部署LLM解读海量文本、提取情感信息，构建或优化量化选股策略； 从 LLM 的多模态思维链出发，我们可利用 LLM 对K线图像进行交互式技术分析。LLM 正在引发一场量化投资技术更迭的革命...... [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1768190187807001xWzQ)**Monday Mar 16 | 8:00 AM - 8:50 AM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **Transform Data Into Intelligence: How AI and Open Models are Shaping the Future of Financial Services [S82435]** **Yogesh Agrawal** | VP | NVIDIA AI is transforming the world’s financial institutions from systems of record into systems of intelligence. In this session, we’ll explore why banks, asset managers, and payments firms are building AI “factories” that transform transactional exhaust into high‑value signals, powering everything from profitable trading and precision risk management to hyper‑personalized customer experiences and proactive fraud detection. We’ll discuss emerging patterns for domain‑adapted models, AI agents embedded in core banking and payments workflows, and the governance required to scale safely in a highly regulated environment. You'll leave with a practical roadmap for partnering with NVIDIA’s platforms and ecosystem to build AI‑native financial services that learn continuously and compete on intelligence, not just balance sheet size. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1770417350155001ALtw)**Monday Mar 16 | 10:00 PM - 10:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Panel On-Demand ## **Agentic AI in Financial Services: Model Use Cases [S81761]** **Jennifer St. John-Foster** | Sr. Sales Manager, North America Financial Services | NVIDIA **Bobby Grubert** | Head of AI and Digital Innovation | RBC Capital Markets **Chintan Mehta** | CIO and Head of Digital Technology and Innovation | Wells Fargo **Sarthak Pattanaik** | Chief Data and AI Officer | BNY Hear from a panel of leading financial services innovators on how they leverage agentic AI for production use cases. Panelists will also discuss what it takes to get to production with agentic AI in the highly regulated financial services industry, and how they effectively measure return on investment (ROI) for new use cases. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1765225509328001zcZn)**Tuesday Mar 17 | 9:00 PM - 9:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **Developing Generative AI Models for Market Activity [S81530]** **Douglas Hamilton** | VP - Head of AI Research and Engineering | Nasdaq **Michael O'Rourke** | SVP - Head of AI & Emerging Technology | Nasdaq Nasdaq's cutting-edge generative AI platform creates ultra-realistic synthetic market order books and order flow data using advanced deep learning architectures. By leveraging sequential generative models and transformer-based networks, it produces statistically accurate limit order book simulations that preserve the statistical properties and microstructure dynamics of real financial markets. The platform generates high-fidelity synthetic data indistinguishable from actual market conditions, while providing sophisticated vector embeddings for enhanced search and retrieval applications. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1764621571185001VBM3)**Tuesday Mar 17 | 11:00 PM - 11:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **Powering Agentic Commerce with Open-Source AI: Easy to Build, Train, and Deploy [S81734]** **Farhad Farahani** | Head of Agentic Commerce and Personalization | PayPal **Ali Sahami** | Director of Machine Learning | PayPal PayPal is leveraging NVIDIA’s open-source AI models to accelerate the evolution of agentic commerce—a new era where intelligent digital agents autonomously handle commerce tasks across industries. By integrating NVIDIA’s Nemotron and reasoning AI frameworks, PayPal enables businesses to automate customer engagement, personalize financial recommendations, and optimize payment flows in real time. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1765213187223001Ba1E)**Wednesday Mar 18 | 6:00 PM - 6:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **Fraud Prevention in the Age of Agentic Commerce [S82252]** **Akash Jaswal** | ML Engineering Manager | Stripe Join a Stripe engineering lead for an inside look at how Stripe’s AI‑powered fraud prevention solution, Radar, is built with NVIDIA hardware and software to detect and block fraudulent transactions at massive scale, including emerging risks and new fraud vectors from agentic commerce to free trial abuse prevention. Trained on patterns derived from more than $1.4 trillion in annual payment volume, Radar uses advanced ML techniques to surface high‑confidence signals that reduced fraud rates for its users by 17% year-over-year. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1767898345366001OTu6)**Tuesday Mar 17 | 6:00 PM - 6:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **Scalable Data Access for Next-Gen Algorithmic Trading [S81543]** **Christina Qi** | CEO | Databento Algorithmic trading is entering a new era defined by AI, massive data volumes, and unprecedented compute scale. Many leading firms now operate more like advanced AI labs than traditional trading desks, relying on large fleets of NVIDIA GPUs and consuming petabytes of real-time and historical market data. The main barrier is no longer the models, but accessing and processing the data fast enough to power them. This session traces how the industry has evolved over the past 20 years, where firms are finding real success with AI/ML, and what frontiers are emerging as compute and data converge. We’ll show how new approaches to data delivery, storage, and accelerated networking, together with solutions from Databento and NVIDIA, are opening the door to the next wave of innovation in finance. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1764680516480001t9iZ)**Wednesday Mar 18 | 4:00 PM - 4:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **Architecting Scalable Pipelines for Foundation Model Experiments [S81826]** **Roman Yokunda Enzmann** | Solutions Architect | NVIDIA **Brian Nguyen** | Sr. Engineering Manager | Capital One **Nick Resnick** | Lead AI Engineer | Capital One Financial applications demand high precision and ultra-low latency. Learn firsthand from engineering leaders at Capital One how they're building distributed data pipelines to curate high-quality datasets that enable laser-focused foundation models for financial applications. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1765244293075001qQQr)**Wednesday Mar 18 | 11:00 PM - 11:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **Build Next-Generation Foundation Models in Finance [S81618]** **Tadas Krisciunas** | Head of Credit Data Science | Revolut Financial transactions share key properties with language: temporal ordering, contextual dependencies, and patterns emerging from surrounding context. This session presents a framework for building transaction foundation models using masked prediction and next-item forecasting to learn rich representations of customer behavior without labeled data. We'll cover our end-to-end approach—from tokenizing transactions into sequences to self-supervised objectives capturing spending rhythms, cross-merchant correlations, and anomaly patterns. Learn how this architecture drives improvements across fraud detection, credit risk, and behavior prediction while drastically reducing labeled data requirements. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1764929401372001G009)**Wednesday Mar 18 | 10:00 PM - 10:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Fireside Chat On-Demand ## **Always-On Innovation: How Nasdaq Deploys AI in Mission-Critical Market [S82153]** **Ioana Boier** | Global Head of Capital Markets Strategy | NVIDIA **Tal Cohen** | President | Nasdaq In this session, we'll explore how an exchange moving hundreds of billions of dollars in trades each day evaluates and governs AI under strict latency, reliability, and transparency requirements. We'll discuss where AI can augment the market stack, and where deterministic behavior must remain non-negotiable. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1766077459943001yaJw)**Wednesday Mar 18 | 9:00 PM - 9:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **Unified Architectures and Evaluation Frameworks for Financial AI Agents [S81729]** **Wenchen Li** | Product Director | AInvest **Adam Wang** | CEO | Ainvest **Damien Zhang** | Head of Multimodal Large Models | HiThink This talk presents a DeepResearch-powered long-context framework for financial multi-modal conversational models, two specialized financial benchmarks (BizFinBench and MME-Finance), the any-to-any omni architecture for real-time cross-modal agentic interactions, and a general evaluation engine for standardized AI performance evaluation across key capabilities. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1765205002656001ysgM)**Thursday Mar 19 | 4:00 PM - 4:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk On-Demand ## **From Signal to Strategy: Unlock Alpha With AI-Powered Research and Trading [S81957]** **Ashok Reddy** | CEO | KX In today's real-time markets, every millisecond and every signal matters. Financial firms are overwhelmed by the scale and variety of data, from ultra-low-latency market feeds to an explosion of unstructured and alternative content such as news, filings, research, and transcripts. Traditional research and trading stacks struggle to turn these data into production-grade strategies fast enough and with the accuracy needed to generate sustainable alpha. By fusing precise quantitative time-series data with unstructured intelligence and running it on NVIDIA GPUs, the bank can build domain-accurate models, reduce hallucinations through time-aware retrieval and vector search, and safely deploy agentic AI that supports quants, researchers, and traders in real time; shortening the path from research to live deployment, and improving productivity through research copilots and execution agents. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1765492391886001nzq9)**Tuesday Mar 17 | 12:00 AM - 12:40 AM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/financial-services/)** Talk Recording Processing ## **The Blueprint for a Modern Resource-Responsible AI Factory [S82132]** **Gerard Bernabeu Altayo** | Compute Systems Lead | Hudson River Trading Hudson River Trading (HRT) is at the forefront of automated trading, processing vast amounts of data at lightning speeds. But their most impressive metric might be their efficiency. In this session, HRT engineers reveal how they are leveraging NVIDIA infrastructure to build the ultimate "AI factory." Discover how to break the trade-off between speed and sustainability. We will cover the end-to-end journey of deploying AI-driven trading models that are faster, smarter, and greener. Learn how innovative data center design, renewable power strategies, and NVIDIA-optimized workloads combine to create a trading infrastructure that is resilient, autonomous, and environmentally conscious. 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