From Athletes to GenAI Developers: Intel Tackles Real-World Challenges with AI Systems
Download as PDF Jul 18, 2024 • 11:00 AM EDT
Intel empowers GenAI developers and athletes around the globe with open and accessible AI systems.
SANTA CLARA, Calif.--(BUSINESS WIRE)--What's New: Today, Intel shares exciting details on its collaboration with the International Olympic Committee (IOC) and on an industry-driven generative AI (GenAI) retrieval-augmented generation (RAG) solution. These announcements demonstrate how open AI systems and platforms using Intel Gaudi AI accelerators and Intel Xeon processors put the power in the hands of developers and enterprises to tackle challenges created by the AI boom.
This press release features multimedia. View the full release here:
![big](https://usnewsfile.moomoo.com/public/MM-PersistNewsContentImage/7781/20240718/0-cdb58817ceebb73e99de6cd800300909-0-92bd566c0268dd68aaa36b0bb9b67fd3.jpg/big)
An illustration shows a retrieval-augmented generation solution flow. (Credit: Intel Corporation)
"Through our partnership with the International Olympic Committee, we are demonstrating our dedication to making AI accessible. We're fostering an open playing field that encourages innovation and creativity and enables developers and enterprises to build tailored AI solutions that drive tangible results. By embracing an open and collaborative ecosystem, Intel is transforming ways to help our athletes and pushing the boundaries of what's possible with our customers."
– Justin Hotard, Intel executive vice president and general manager of the Data Center and Artificial Intelligence Group
How Athlete365 Works: Qualifying for the Olympic Games is only the beginning for athletes. To help about 11,000 athletes with varying languages and cultures navigate the venue and comply with rules and guidelines, the IOC collaborated with Intel to develop a chatbot, Athlete365. A RAG solution powered by Intel Gaudi accelerators and Xeon processors, Athlete365 is capable of handling athlete inquiries and interactions and will deliver on-demand information during athletes' stay at the Olympic Village in Paris, enabling them to focus on training and competing.
Why It Matters: Deploying GenAI solutions poses challenges like cost, scale, accuracy, development requirements, privacy and security. RAG is a crucial GenAI workload because it allows companies to leverage proprietary data securely, enhancing the timeliness and reliability of AI outputs. This improves the quality and usefulness of AI applications, which is critical in today's data-driven world.
Intel's collaborative approach utilizing AI platforms, open standards, and a robust software and systems ecosystem allows developers to build customized GenAI RAG solutions tailored to each enterprise's needs. The momentum shared today underscores Intel's commitment to providing open, robust and composable multi-provider generative AI solutions.
How the GenAI RAG Solution Architecture Works: Intel works with industry partners to create an open source, interoperable solution for easy RAG deployment. The GenAI solution is an industry-driven, out-of-the-box, production-ready RAG solution built on the Open Platform for Enterprise AI (OPEA) foundation. While the GenAI turnkey solution offers a streamlined approach to deploying RAG solutions for enterprises in their data centers, it is designed to be highly flexible and customizable, integrating components from a catalog of offerings by multiple OEM systems and industry partners.
The GenAI turnkey solution integrates OPEA-based microservice components into a scalable RAG solution designed to deploy Xeon and Gaudi AI systems. It scales seamlessly with proven orchestration frameworks like Kubernetes and Red Hat OpenShift and provides standardized APIs with security and system telemetry.
- Breaking Down Proprietary Walls with an Open Software Stack: Nearly all large language model (LLM) development is based on the high abstraction framework PyTorch, which is supported by Intel Gaudi and Xeon technologies, making it easy to develop on Intel AI systems or platforms. Intel has worked with OPEA to develop an open software stack for RAG and LLM deployment optimized for the GenAI turnkey solution and built with PyTorch, Hugging Face serving libraries (TGI and TEI), LangChain and Redis Vector database.
- Meeting Developers Where They are: OPEA offers open source, standardized, modular and heterogeneous RAG pipelines for enterprises, focusing on open model development and support for various compilers and toolchains. This foundation accelerates containerized AI integration and delivery for unique vertical use cases. OPEA unlocks new AI possibilities by creating a detailed, composable framework that stands at the forefront of technology stacks.
With GenAI turnkey and the comprehensive enterprise AI stack, Intel delivers a complete solution addressing the challenges of deploying and scaling RAG and LLM applications within enterprises and data centers. Leveraging Intel-powered AI systems or platforms and optimized software in OPEA, businesses can harness the full potential of GenAI with greater efficiency and speed.
What's Next: Increasing access to the latest AI compute technology is a challenge enterprises face in enabling critical business outcomes with GenAI. Through strategic collaborations with industry partners and customers, Intel is creating new opportunities for AI services driven by GenAI and RAG solutions.
Committed to the secure and responsible advancement of AI, Intel announced today its collaboration with Google, IBM and other industry partners in a new Coalition for Secure AI (CoSAI), created to enhance trust and security in AI development and deployment.
Intel will further demonstrate its unique approach to AI systems and continued customer and partner momentum at Intel Innovation on Sept. 24-25.
More Context: Intel Welcomes the Coalition for Secure AI | Intel Brings AI-Platform Innovation to Life at the Olympic Games
Video: Empowering Individuals with Open AI Systems – During a roundtable presentation on July 17, 2024, representatives of Intel, the International Olympic Committee, Seekr and Red Hat discussed how an open AI ecosystem puts the power in the hands of the developers and enterprises tackling challenges created by the boom in artificial intelligence. Participants in the event moderated by Justin Hotard, executive vice president and general manager of the Data Center and AI Group at Intel, were Kaveh Mehrabi, director of the Athletes Department of the International Olympic Committee; Steven Huels, vice president and general manager of Business, Product and Strategy at Red Hat; Rob Clark, president and chief technology officer of Seekr; and Bill Pearson, vice president of Software Solutions and Ecosystem of the Data Center and AI Group at Intel. (Credit: Intel Corporation)
About Intel
Intel (Nasdaq: INTC) is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore's Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers' greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better. To learn more about Intel's innovations, go to newsroom.intel.com and intel.com.
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Bats Jafferji
1-603-809-5145
bats.jafferji@intel.com
Source: Intel Corporation
Released Jul 18, 2024 • 11:00 AM EDT
英特尔利用人工智能系统解决实际挑战,从运动员到GenAI开发人员。
以PDF格式下载 2024年7月18日 • 东部夏令时间上午11:00
英特尔为全球的GenAI开发人员和运动员提供开放且易于使用的人工智能系统。
加利福尼亚州圣塔克拉拉市——(BUSINESS WIRE)——今日,英特尔宣布与国际奥委会(IOC)的合作以及行业驱动的生成式人工智能(GenAI)检索-增强生成(RAG)解决方案的详细信息。这些公告展示了采用英特尔 Gaudi AI 加速器和英特尔 Xeon 处理器的开放式人工智能系统和平台如何赋予开发者和企业解决人工智能爆炸所产生的挑战的能力。
本新闻稿涵盖多媒体功能。在此处查看完整新闻稿:
![大](https://usnewsfile.moomoo.com/public/MM-PersistNewsContentImage/7781/20240718/0-cdb58817ceebb73e99de6cd800300909-0-92bd566c0268dd68aaa36b0bb9b67fd3.jpg/big)
插图显示了一个检索增强生成解决方案流程。(来源:英特尔公司)
“通过与国际奥委会的合作,我们展示了我们致力于使人工智能可访问的坚定决心,培育一个鼓励创新和创意的公平竞技场,使开发者和企业能够构建量身定制的人工智能解决方案,取得具体的成效。通过拥抱开放和协作的生态系统,英特尔正在改变帮助我们的运动员的方式,并推动我们与客户的合作的边界。”
——贾斯汀•霍塔德,英特尔数据中心与人工智能集团执行副总裁兼总经理
Athlete365是由英特尔 Gaudi 加速器和 Xeon 处理器推动的 RAG 解决方案,能够处理运动员的查询和交互,并在巴黎奥运村期间提供按需信息,以帮助约 11000 名语言和文化各异的运动员在场馆中航行并遵循规则和指南,从而能够更专注于训练和比赛。
部署 GenAI 解决方案存在诸如成本、规模、准确性、开发要求、隐私和安全等挑战。RAG 是关键的 GenAI 工作负载,因为它使公司能够安全地利用专有数据,提高人工智能输出的及时性和可靠性。这提高了人工智能应用的质量和实用性,在今天数据驱动的世界中至关重要。
英特尔的协作方法利用人工智能平台、开放标准和强大的软件和系统生态系统,允许开发人员构建定制的 GenAI RAG 解决方案,以满足每个企业的需求。今天所分享的动态强调了英特尔致力于提供开放性、强健和可组合的多供应商生成式人工智能解决方案的承诺。
英特尔与行业合作伙伴合作,创建了一个开源、可互操作的解决方案,以便轻松部署 RAG。GenAI 解决方案是一个由行业驱动的、开箱即用的、可正式投入生产的 RAG 解决方案,基于企业 AI 的开放平台基础。虽然 GenAI 成品解决方案提供了一种流畅的方法,供企业在其数据中心部署 RAG 解决方案,但它被设计成高度灵活和可自定义的,可集成来自多个 OEM 系统和行业合作伙伴提供的服务目录的组件。
GenAI 成品解决方案将 OPEA 的微服务组件集成到可扩展的 RAG 解决方案中,旨在部署 Xeon 和 Gaudi AI 系统。它可与 Kubernetes 和 Red Hat OpenShift 等已被证实的编排框架无缝扩展,并提供标准化的 API,具有安全性和系统遥测功能。
- 破除专有墙壁的开放式软件堆栈:几乎所有的大型语言模型 (LLM) 开发都是基于高抽象框架 PyTorch 进行的,该框架受到英特尔 Gaudi 和 Xeon 技术的支持,这使得在英特尔 AI 系统或平台上进行开发变得容易。英特尔已与 OPEA 合作,开发了一个为 RAG 和 LLm 部署优化的开放式软件堆栈,基于 PyTorch、Hugging Face 服务库(TGI 和 TEI)、LangChain 和 Redis Vector 数据库。
- 在企业中,OPEA 为开源、标准化、模块化和异构芯片的 RAG 管道提供支持,专注于开放式模型开发,并支持各种编译器和工具链。这个基础为独特的垂直用例的容器化 AI 集成和交付加速,通过创建卓越的、可组合的框架,为新的 AI 可能性打开了大门。
通过 GenAI 成品解决方案和综合企业 AI 堆栈,英特尔提供了完整的解决方案,以应对在企业和数据中心内部署和扩展 RAG 和 LLm 应用所面临的挑战。通过利用英特尔驱动的 AI 系统或平台,以及 OPEA 中优化的软件,在业务上更高效地搭载 GenAI 的全部潜力和速度。
接下来:增加对最新 AI 计算技术的访问,是企业在通过 GenAI 实现关键业务结果时面临的一项挑战。通过与行业合作伙伴和客户的战略合作,英特尔正在创造由 GenAI 和 RAG 解决方案驱动的新的 AI 服务的机会。
致力于安全和负责任的 AI 推进,英特尔今天宣布与 Google、IBM 和其他行业合作伙伴合作,成立了一个新的安全 AI 联盟 (CoSAI),旨在增强对 AI 开发和部署的信任和安全。
英特尔将在 9 月 24-25 日的英特尔创新大会上进一步展示其独特的 AI 系统和持续的客户和合作伙伴动力。
更多背景信息:英特尔欢迎安全 AI 联盟 | 英特尔在奥运会上展示人工智能平台创新
视频:通过开放式 AI 系统赋能个人 —— 在 2024 年 7 月 17 日的圆桌会议上,英特尔、国际奥委会、Seekr 和 Red Hat 的代表讨论了开放式 AI 生态系统如何赋予正在应对人工智能爆炸所带来的挑战的开发者和企业力量。参加这次由英特尔数据中心和 AI 集团执行副总裁兼总经理贾斯汀·霍塔德主持的活动的人员包括国际奥委会运动员部主任卡韦·梅拉比、Red Hat 业务、产品和战略副总裁兼总经理 Steven Huels、Seekr 总裁兼首席技术官 Rob Clark,以及英特尔数据中心和 AI 集团软件解决方案和生态系统副总裁 Bill Pearson。 (来源:英特尔公司)
关于英特尔
英特尔(纳斯达克: INTC)是一家行业领先企业,创造能够促进全球进步和改善人们生活的世界级科技。受到摩尔定律的启发,我们不断努力推进半导体的设计和制造以帮助解决客户面临的最大挑战。通过将智能嵌入云端、网络、边缘和各种计算设备,我们释放数据的潜力,推动变革业务和社会使之更好。想了解更多有关英特尔创新的信息,请访问newsroom.intel.com和intel.com。
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Bats Jafferji
1-603-809-5145
bats.jafferji@intel.com
来源:英特尔-t 公司
2024年7月18日发布 • 美国东部时间上午11:00