Deepak Jain 将在 2026 年英伟达 GTC 大会上主持两场会议
1 分•作者: AiNETFactory•5 个月前
AiNET Factory 创始人 Deepak Jain 将在 NVIDIA GTC 2026 大会上主持两场会议,探讨大规模 AI 工厂的经济性和部署。
加州圣何塞 — 2026 年 3 月 12 日 — AiNET Factory 创始人 Deepak Jain 将在 NVIDIA GTC 2026 大会上主持两场会议,GTC 是由 NVIDIA 组织的全球 AI 大会。
在 GTC 2026 上,Jain 将主持关于当今人工智能面临的最紧迫挑战之一的讨论:为下一代 AI 系统和 AI 工厂提供动力的基础设施。
随着企业部署越来越大的 AI 模型和 AI 原生应用程序,对 AI 基础设施和 GPU 算力的全球需求急剧加速。
据 NVIDIA 称,GTC 是“首屈一指的全球 AI 大会,开发者、研究人员和商业领袖齐聚一堂,共同探索下一波 AI 创新浪潮”。 大会将于 2026 年 3 月 16 日至 19 日在加州圣何塞举行,将举办 1,000 多场会议,探讨加速计算、AI 工厂、模型、基础设施和应用。
Jain 的会议将探讨资本、能源、GPU 基础设施和长期需求如何塑造新兴的 AI 基础设施生态系统。
AiNET Factory 创始人 Deepak Jain 表示:“AI 工厂正迅速成为 AI 经济背后的物理基础设施。下一波 AI 创新浪潮不仅取决于更好的模型,还取决于运行它们所需的大规模 AI 计算基础设施——电力、GPU 和平台。” AI 工厂结合了数据中心基础设施、能源系统、GPU 集群和 AI 软件平台,为快速扩张的全球 AI 经济提供动力。
**会议 1**
**AI 算力危机:为什么 GPU 都在等待基础设施**
2026 年 3 月 17 日,星期二
太平洋时间下午 1:00
本次会议探讨了 AI 行业中一个日益增长的悖论:虽然全球对 GPU 的需求持续激增,但 AI 就绪的基础设施正成为扩展 AI 系统的限制因素。
讨论主题包括:
* 主要 AI 市场的电力限制
* 供电时间与 GPU 部署时间对比
* 改造现有数据中心以适应 AI 工作负载
* 下一波 AI 计算算力将从何而来
本次会议专为以下人群设计:
* AI 创始人
* 基础设施投资者
* GPU 云公司
* 构建 AI 平台的企业
**会议 2**
**构建 AI 工厂:让我们谈谈资本、电力、GPU 和回报**
2026 年 3 月 17 日,星期二
太平洋时间下午 2:00
AI 工厂结合了数据中心、能源基础设施和技术平台的元素。 在本次会议上,Jain 将主持关于大规模 AI 基础设施项目经济性的讨论,以及投资者和合作伙伴如何参与下一代 AI 算力。
讨论主题包括:
* AI 计算作为基础设施
* 对 GPU 算力的长期需求
* 大型 GPU 集群的融资模式
* AI 工厂、数据中心和能源项目的比较
本次讨论特别适用于:
* 私募股权公司
* 风险投资公司
* 基础设施基金
* AI 平台公司
* 战略性企业投资者
**关于 AiNET Factory**
AiNET Factory 专注于开发旨在支持下一代 GPU 驱动的 AI 平台和 AI 原生应用程序的 AI 基础设施。 这些设施构成了全球 AI 计算基础设施的骨干,使组织能够训练和部署大规模 AI 模型。
Deepak Jain 是 AiNET Factory 的创始人,该公司专注于开发大规模 AI 基础设施和 AI 工厂平台。
AiNET Factory 开发的 AI 工厂旨在为大规模 AI 平台提供电力、冷却和 GPU 基础设施。
www.ainetfactory.com
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Deepak Jain, Founder of AiNET Factory and a developer of large-scale AI infrastructure platforms, to Host Two Sessions at NVIDIA GTC 2026. The sessions focus on the economics and deployments of large-scale AI Factories.
San Jose, CA — March 12, 2026 — Deepak Jain, founder of AiNET Factory, will host two sessions at NVIDIA GTC 2026, the global AI conference organized by NVIDIA.
At GTC 2026, Jain will lead conversations focused on one of the most pressing challenges facing artificial intelligence today: the infrastructure required to power the next generation of AI systems and AI factories.
Global demand for AI infrastructure and GPU capacity has accelerated dramatically as enterprises deploy increasingly large AI models and AI-native applications.
According to NVIDIA, GTC is “the premier global AI conference, where developers, researchers, and business leaders come together to explore the next wave of AI innovation.” The conference takes place March 16–19, 2026 in San Jose, California and will feature more than 1,000 sessions exploring accelerated computing, AI factories, models, infrastructure, and applications.
Jain’s sessions will examine how capital, energy, GPU infrastructure, and long-term demand are shaping the emerging AI infrastructure ecosystem.
“The AI Factory is quickly becoming the physical infrastructure behind the AI economy,” said Deepak Jain, founder of AiNET Factory. “The next wave of AI innovation will depend not just on better models, but on the AI compute infrastructure — power, GPUs, and platforms — required to run them at scale.”<p>AI factories combine data center infrastructure, energy systems, GPU clusters, and AI software platforms to power the rapidly expanding global AI economy.<p>Session 1
AI Capacity Crisis: Why GPUs Are Waiting for Infrastructure
Tuesday, March 17, 2026
1:00 PM PT
This session explores a growing paradox in the AI industry: while demand for GPUs continues to surge globally, AI-ready infrastructure is becoming the limiting factor for scaling AI systems.
Topics discussed will include:
• Power constraints in major AI markets
• Time-to-power vs. time-to-GPU deployment timelines
• Retrofitting existing data centers for AI workloads
• Where the next wave of AI compute capacity will originate
The session is designed for:
• AI founders
• Infrastructure investors
• GPU cloud companies
• Enterprises building AI platforms<p>Session 2
Building an AI Factory: Let’s Talk Capital, Power, GPUs & Returns
Tuesday, March 17, 2026
2:00 PM PT
AI factories combine elements of data centers, energy infrastructure, and technology platforms. In this session, Jain will lead a discussion on the economics of large-scale AI infrastructure projects and how investors and partners can participate in the next generation of AI capacity.
Discussion topics include:
• AI compute as infrastructure
• Long-term demand for GPU capacity
• Financing models for large GPU clusters
• Comparisons between AI factories, data centers, and energy projects
This discussion is particularly relevant for:
• Private equity firms
• Venture capital investors
• Infrastructure funds
• AI platform companies
• Strategic corporate investors<p>About AiNET Factory
AiNET Factory focuses on developing AI infrastructure designed to support the next generation of GPU-powered AI platforms and AI-native applications. These facilities form the backbone of global AI compute infrastructure, enabling organizations to train and deploy large-scale AI models.
Deepak Jain is the founder of AiNET Factory, a company focused on developing large-scale AI infrastructure and AI factory platforms.
AiNET Factory develops AI factories designed to deliver power, cooling, and GPU infrastructure for large-scale AI platforms.
www.ainetfactory.com