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.
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![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
英特爾利用人工智能系統解決實際挑戰,從運動員到GenAI開發人員。
以PDF格式下載 2024年7月18日 • 東部夏令時間上午11:00
英特爾爲全球的GenAI開發人員和運動員提供開放且易於使用的人工智能系統。
加利福尼亞州聖塔克拉拉市——(BUSINESS WIRE)——今日,英特爾宣佈與國際奧委會(IOC)的合作以及行業驅動的生成式人工智能(GenAI)檢索-增強生成(RAG)解決方案的詳細信息。這些公告展示了採用英特爾 Gaudi AI 加速器和英特爾 Xeon 處理器的開放式人工智能系統和平台如何賦予開發者和企業解決人工智能爆炸所產生的挑戰的能力。
本新聞稿涵蓋多媒體功能。在此處查看完整新聞稿:
![大](https://usnewsfile.moomoo.com/public/MM-PersistNewsContentImage/7781/20240718/0-cdb58817ceebb73e99de6cd800300909-0-92bd566c0268dd68aaa36b0bb9b67fd3.jpg/big)
插圖顯示了一個檢索增強生成解決方案流程。(來源:英特爾公司)
“通過與國際奧委會的合作,我們展示了我們致力於使人工智能可訪問的堅定決心,培育一個鼓勵創新和創意的公平競技場,使開發者和企業能夠構建量身定製的人工智能解決方案,取得具體的成效。通過擁抱開放和協作的生態系統,英特爾正在改變幫助我們的運動員的方式,並推動我們與客戶的合作的邊界。”
——賈斯汀•霍塔德,英特爾數據中心與人工智能集團執行副總裁兼總經理
Athlete365是由英特爾 Gaudi 加速器和 Xeon 處理器推動的 RAG 解決方案,能夠處理運動員的查詢和交互,並在巴黎奧運村期間提供按需信息,以幫助約 11000 名語言和文化各異的運動員在場館中航行並遵循規則和指南,從而能夠更專注於訓練和比賽。
部署 GenAI 解決方案存在諸如成本、規模、準確性、開發要求、隱私和安全等挑戰。RAG 是關鍵的 GenAI 工作負載,因爲它使公司能夠安全地利用專有數據,提高人工智能輸出的及時性和可靠性。這提高了人工智能應用的質量和實用性,在今天數據驅動的世界中至關重要。
英特爾的協作方法利用人工智能平台、開放標準和強大的軟件和系統生態系統,允許開發人員構建定製的 GenAI RAG 解決方案,以滿足每個企業的需求。今天所分享的動態強調了英特爾致力於提供開放性、強健和可組合的多供應商生成式人工智能解決方案的承諾。
英特爾與行業合作伙伴合作,創建了一個開源、可互操作的解決方案,以便輕鬆部署 RAG。GenAI 解決方案是一個由行業驅動的、開箱即用的、可正式投入生產的 RAG 解決方案,基於企業 AI 的開放平台基礎。雖然 GenAI 成品解決方案提供了一種流暢的方法,供企業在其數據中心部署 RAG 解決方案,但它被設計成高度靈活和可自定義的,可集成來自多個 OEM 系統和行業合作伙伴提供的服務目錄的組件。
GenAI 成品解決方案將 OPEA 的微服務組件集成到可擴展的 RAG 解決方案中,旨在部署 Xeon 和 Gaudi AI 系統。它可與 Kubernetes 和 Red Hat OpenShift 等已被證實的編排框架無縫擴展,並提供標準化的 API,具有安全性和系統遙測功能。
- 破除專有牆壁的開放式軟件堆棧:幾乎所有的大型語言模型 (LLM) 開發都是基於高抽象框架 PyTorch 進行的,該框架受到英特爾 Gaudi 和 Xeon 技術的支持,這使得在英特爾 AI 系統或平台上進行開發變得容易。英特爾已與 OPEA 合作,開發了一個爲 RAG 和 LLm 部署優化的開放式軟件堆棧,基於 PyTorch、Hugging Face 服務庫(TGI 和 TEI)、LangChain 和 Redis Vector 數據庫。
- 在企業中,OPEA 爲開源、標準化、模塊化和異構芯片的 RAG 管道提供支持,專注於開放式模型開發,並支持各種編譯器和工具鏈。這個基礎爲獨特的垂直用例的容器化 AI 集成和交付加速,通過創建卓越的、可組合的框架,爲新的 AI 可能性打開了大門。
通過 GenAI 成品解決方案和綜合企業 AI 堆棧,英特爾提供了完整的解決方案,以應對在企業和數據中心內部署和擴展 RAG 和 LLm 應用所面臨的挑戰。通過利用英特爾驅動的 AI 系統或平台,以及 OPEA 中優化的軟件,在業務上更高效地搭載 GenAI 的全部潛力和速度。
接下來:增加對最新 AI 計算技術的訪問,是企業在通過 GenAI 實現關鍵業務結果時面臨的一項挑戰。通過與行業合作伙伴和客戶的戰略合作,英特爾正在創造由 GenAI 和 RAG 解決方案驅動的新的 AI 服務的機會。
致力於安全和負責任的 AI 推進,英特爾今天宣佈與 Google、IBM 和其他行業合作伙伴合作,成立了一個新的安全 AI 聯盟 (CoSAI),旨在增強對 AI 開發和部署的信任和安全。
英特爾將在 9 月 24-25 日的英特爾創新大會上進一步展示其獨特的 AI 系統和持續的客戶和合作夥伴動力。
更多背景信息:英特爾歡迎安全 AI 聯盟 | 英特爾在奧運會上展示人工智能平台創新
視頻:通過開放式 AI 系統賦能個人 —— 在 2024 年 7 月 17 日的圓桌會議上,英特爾、國際奧委會、Seekr 和 Red Hat 的代表討論了開放式 AI 生態系統如何賦予正在應對人工智能爆炸所帶來的挑戰的開發者和企業力量。參加這次由英特爾數據中心和 AI 集團執行副總裁兼總經理賈斯汀·霍塔德主持的活動的人員包括國際奧委會運動員部主任卡韋·梅拉比、Red Hat 業務、產品和戰略副總裁兼總經理 Steven Huels、Seekr 總裁兼首席技術官 Rob Clark,以及英特爾數據中心和 AI 集團軟件解決方案和生態系統副總裁 Bill Pearson。 (來源:英特爾公司)
關於英特爾
英特爾(納斯達克: INTC)是一家行業領先企業,創造能夠促進全球進步和改善人們生活的世界級科技。受到摩爾定律的啓發,我們不斷努力推進半導體的設計和製造以幫助解決客戶面臨的最大挑戰。通過將智能嵌入雲端、網絡、邊緣和各種計算設備,我們釋放數據的潛力,推動變革業務和社會使之更好。想了解更多有關英特爾創新的信息,請訪問newsroom.intel.com和intel.com。
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Bats Jafferji
1-603-809-5145
bats.jafferji@intel.com
來源:英特爾-t 公司
2024年7月18日發佈 • 美國東部時間上午11:00