Intel empowers GenAI developers and athletes
around the globe with open and accessible AI systems.
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:
https://www.businesswire.com/news/home/20240718825653/en/
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.
Intel technologies may require enabled hardware, software or
service activation.
No product or component can be absolutely secure.
Your costs and results may vary.
Intel does not control or audit third-party data. You should
consult other sources to evaluate accuracy.
© Intel Corporation. Intel, the Intel logo and other Intel marks
are trademarks of Intel Corporation or its subsidiaries. Other
names and brands may be claimed as the property of others.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240718825653/en/
Bats Jafferji 1-603-809-5145 bats.jafferji@intel.com
Intel (NASDAQ:INTC)
Gráfica de Acción Histórica
De Jun 2024 a Jul 2024
Intel (NASDAQ:INTC)
Gráfica de Acción Histórica
De Jul 2023 a Jul 2024
