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INTEL UNLEASHES ENTERPRISE AI WITH GAUDI 3, AI OPEN SYSTEMS STRATEGY AND NEW
CUSTOMER WINS

Intel tackles the generative AI gap by introducing the Intel Gaudi 3 AI
accelerator at the Intel Vision event on April 9, 2024, in Phoenix, Arizona.
Gaudi 3 gives customers choice with open community-based software and
industry-standard Ethernet networking to scale their systems more flexibly.
(Credit: Intel Corporation)

At Intel Vision 2024, Intel unveiled the Intel Tiber portfolio of business
solutions to streamline the deployment of enterprise software and services,
including for generative AI. Customers can begin exploring the Intel Tiber
portfolio starting at Vision, with a full rollout planned for the third quarter
of 2024. (Credit: Intel Corporation)

Intel introduced the new brand for its next-generation processors for data
centers, cloud and edge: Intel Xeon 6. Intel Xeon 6 processors with new
Efficient-cores (E-cores) will deliver exceptional efficiency and launch this
quarter, while Intel Xeon 6 with Performance-cores (P-cores) will offer
increased AI performance and launch soon after the E-core processors. (Credit:
Intel Corporation)


Download as PDF Apr 9, 2024 • 11:35 AM EDT


At Vision 2024, Intel goes all-in on open and more secure enterprise AI with new
customers, partners and collaborations across the AI continuum.

NEWS HIGHLIGHTS

 * Intel unveiled a comprehensive AI strategy for enterprises, with open,
   scalable systems that work across all AI segments.
 * Introduced the Intel® Gaudi® 3 AI accelerator, delivering 50% on average
   better inference1 and 40% on average better power efficiency2 than Nvidia
   H100 – at a fraction of the cost.
 * Intel announced Gaudi 3 availability to original equipment manufacturers
   (OEMs) – including Dell Technologies, Hewlett Packard Enterprise, Lenovo and
   Supermicro – broadening the AI data center market offerings for enterprises.
 * Announced new Intel Gaudi accelerator customers and partners, including
   Bharti Airtel, Bosch, CtrlS, IBM, IFF, Landing AI, Ola, NAVER, NielsenIQ,
   Roboflow and Seekr.
 * Intel announced the intention to create an open platform for enterprise AI
   together with SAP, RedHat, VMware and other industry leaders to accelerate
   deployment of secure generative AI (GenAI) systems, enabled by
   retrieval-augmented generation (RAG).
 * Through the Ultra Ethernet Consortium (UEC), Intel is leading open Ethernet
   networking for AI fabric. The company introduced an array of AI-optimized
   Ethernet solutions, including the AI NIC (network interface card) and AI
   connectivity chiplets.

PHOENIX--(BUSINESS WIRE)-- At the Intel Vision 2024 customer and partner
conference, Intel introduced the Intel Gaudi 3 accelerator to bring performance,
openness and choice to enterprise generative AI (GenAI), and unveiled a suite of
new open scalable systems, next-gen products and strategic collaborations to
accelerate GenAI adoption. With only 10% of enterprises successfully moving
GenAI projects into production last year, Intel's latest offerings address the
challenges businesses face in scaling AI initiatives.

This press release features multimedia. View the full release here:
https://www.businesswire.com/news/home/20240409077438/en/

Intel tackles the generative AI gap by introducing the Intel Gaudi 3 AI
accelerator at the Intel Vision event on April 9, 2024, in Phoenix, Arizona.
Gaudi 3 gives customers choice with open community-based software and
industry-standard Ethernet networking to scale their systems more flexibly.
(Credit: Intel Corporation)

“Innovation is advancing at an unprecedented pace, all enabled by silicon – and
every company is quickly becoming an AI company,” said Intel CEO Pat Gelsinger.
“Intel is bringing AI everywhere across the enterprise, from the PC to the data
center to the edge. Our latest Gaudi, Xeon and Core Ultra platforms are
delivering a cohesive set of flexible solutions tailored to meet the changing
needs of our customers and partners and capitalize on the immense opportunities
ahead.”

More: Intel Vision 2024 (Press Kit) | Intel Vision 2024 Keynote
(Livestream/Replay) | Intel Tackles the GenAI Gap with Gaudi 3 (News)

Enterprises are looking to scale GenAI from pilot to production. To do so, they
need readily available solutions, built on performant and cost- and
energy-efficient processors like the Intel Gaudi 3 AI accelerator, that also
address complexity, fragmentation, data security and compliance requirements.

Introducing Gaudi 3 for AI Training and Inference

The Intel Gaudi 3 AI accelerator will power AI systems with up to tens of
thousands of accelerators connected through the common standard of Ethernet.
Intel Gaudi 3 promises 4x more AI compute for BF16 and a 1.5x increase in memory
bandwidth over its predecessor. The accelerator will deliver a significant leap
in AI training and inference for global enterprises looking to deploy GenAI at
scale.

In comparison to Nvidia H100, Intel Gaudi 3 is projected to deliver 50% faster
time-to-train on average3 across Llama2 models with 7B and 13B parameters, and
GPT-3 175B parameter model. Additionally, Intel Gaudi 3 accelerator inference
throughput is projected to outperform the H100 by 50% on average1 and 40% for
inference power-efficiency averaged2 across Llama 7B and 70B parameters, and
Falcon 180B parameter models.

Intel Gaudi 3 provides open, community-based software and industry-standard
Ethernet networking. And it allows enterprises to scale flexibly from a single
node to clusters, super-clusters and mega-clusters with thousands of nodes,
supporting inference, fine-tuning and training at the largest scale.

Intel Gaudi 3 will be available to OEMs – including Dell Technologies, Hewlett
Packard Enterprise, Lenovo and Supermicro – in the second quarter of 2024.

Read more at “Intel Tackles the GenAI Gap with Gaudi 3.”

Generating Value for Customers with Intel AI Solutions

Intel outlined its strategy for open scalable AI systems, including hardware,
software, frameworks and tools. Intel’s approach enables a broad, open ecosystem
of AI players to offer solutions that satisfy enterprise-specific GenAI needs.
This includes equipment manufacturers, database providers, systems integrators,
software and service providers, and others. It also allows enterprises to use
the ecosystem partners and solutions that they already know and trust.

Intel shared broad momentum with enterprise customers and partners across
industries to deploy Intel Gaudi accelerator solutions for new and innovative
generative AI applications:

 * NAVER: To develop a powerful large language model (LLM) for the deployment of
   advanced AI services globally, from cloud to on-device. NAVER has confirmed
   Intel Gaudi’s foundational capability in executing compute operations for
   large-scale transformer models with outstanding performance per watt.
 * Bosch: To explore further opportunities for smart manufacturing, including
   foundational models generating synthetic datasets of manufacturing anomalies
   to provide robust, evenly-distributed training sets (e.g., automated optical
   inspection).
 * IBM: Using 5th Gen Intel® Xeon® processors for its watsonx.data™ data store
   and working closely with Intel to validate the watsonx™ platform for Intel
   Gaudi accelerators.
 * Ola/Krutrim: To pre-train and fine-tune its first India foundational model
   with generative capabilities in 10 languages, producing industry-leading
   price/performance versus market solutions. Krutrim is now pre-training a
   larger foundational model on an Intel® Gaudi® 2 cluster.
 * NielsenIQ, an Advent International portfolio company: To enhance its GenAI
   capabilities by training domain-specific LLMs on the world’s largest consumer
   buying behavior database, enhancing its client service offerings while
   adhering to rigorous privacy standards.
 * Seekr: Leader in trustworthy AI runs production workloads on Intel Gaudi 2,
   Intel® Data Center GPU Max Series and Intel® Xeon® processors in the Intel®
   Tiber™ Developer Cloud for LLM development and production deployment support.
 * IFF: Global leader in food, beverage, scent and biosciences will leverage
   GenAI and digital twin technology to establish an integrated digital biology
   workflow for advanced enzyme design and fermentation process optimization.
 * CtrlS Group: Collaborating to build an AI supercomputer for India-based
   customers and scaling CtrlS cloud services for India with additional Gaudi
   clusters.
 * Bharti Airtel: Embracing the power of Intel’s cutting-edge technology, Airtel
   plans to leverage its rich telecom data to enhance its AI capabilities and
   turbo charge the experiences of its customers. The deployments will be in
   line with Airtel’s commitment to stay at the forefront of technological
   innovation and help drive new revenue streams in a rapidly evolving digital
   landscape.
 * Landing AI: Fine-tuned domain-specific large vision model for use in
   segmenting cells and detecting cancer.
 * Roboflow: Running production workloads of YOLOv5, YOLOv8, CLIP, SAM and ViT
   models for its end-to-end computer vision platform.
 * Infosys: Global leader in next-generation digital services and consulting
   announced a strategic collaboration to bring Intel technologies including 4th
   and 5th Gen Intel Xeon processors, Intel Gaudi 2 AI accelerators and Intel®
   Core™ Ultra to Infosys Topaz – an AI-first set of services, solutions and
   platforms that accelerate business value using generative AI technologies.

Intel also announced collaborations with Google Cloud, Thales and Cohesity to
leverage Intel's confidential computing capabilities in their cloud instances.
This includes Intel® Trust Domain Extensions (Intel® TDX), Intel® Software Guard
Extensions (Intel® SGX) and Intel’s attestation service. Customers can run their
AI models and algorithms in a trusted execution environment (TEE) and leverage
Intel’s trust services for independently verifying the trust worthiness of these
TEEs.

Ecosystem Rallies to Develop Open Platform for Enterprise AI

In collaboration with Anyscale, Articul8, DataStax, Domino, Hugging Face, KX
Systems, MariaDB, MinIO, Qdrant, RedHat, Redis, SAP, VMware, Yellowbrick and
Zilliz, Intel announced the intention to create an open platform for enterprise
AI. The industrywide effort aims to develop open, multivendor GenAI systems that
deliver best-in-class ease-of-deployment, performance and value, enabled by
retrieval-augmented generation. RAG enables enterprises’ vast, existing
proprietary data sources running on standard cloud infrastructure to be
augmented with open LLM capabilities, accelerating GenAI use in enterprises.

As initial steps in this effort, Intel will release reference implementations
for GenAI pipelines on secure Intel Xeon and Gaudi-based solutions, publish a
technical conceptual framework, and continue to add infrastructure capacity in
the Intel Tiber Developer Cloud for ecosystem development and validation of RAG
and future pipelines. Intel encourages further participation of the ecosystem to
join forces in this open effort to facilitate enterprise adoption, broaden
solution coverage and accelerate business results.

Intel's Expanded AI Roadmap and Open Ecosystem Approach

In addition to the Intel Gaudi 3 accelerator, Intel provided updates on its
next-generation products and services across all segments of enterprise AI.

New Intel® Xeon® 6 Processors: Intel Xeon processors offer performance-efficient
solutions to run current GenAI solutions, including RAG, that produce
business-specific results using proprietary data. Intel introduced the new brand
for its next-generation processors for data centers, cloud and edge: Intel Xeon
6. Intel Xeon 6 processors with new Efficient-cores (E-cores) will deliver
exceptional efficiency and launch this quarter, while Intel Xeon 6 with
Performance-cores (P-cores) will offer increased AI performance and launch soon
after the E-core processors.

 * Intel Xeon 6 processors with E-cores (code-named Sierra Forest):
   * 4x performance per watt improvement4 and 2.7x better rack density5 compared
     with 2nd Gen Intel® Xeon® processors.
   * Customers can replace older systems at a ratio of nearly 3-to-1,
     drastically lowering energy consumption and helping meet sustainability
     goals6.
 * Intel Xeon 6 processors with P-cores (code-named Granite Rapids):
   * Incorporate software support for the MXFP4 data format, which reduces next
     token latency by up to 6.5x versus 4th Gen Intel® Xeon® processors using
     FP16, with the ability to run 70 billion parameter Llama-2 models7.

Client, Edge and Connectivity: Intel announced momentum for client and updates
to its roadmap for edge and connectivity including:

 * Intel® Core™ Ultra processors are powering new capabilities for productivity,
   security and content creation, providing a great motivation for businesses to
   refresh their PC fleets. Intel expects expect to ship 40 million AI PCs in
   2024, with more than 230 designs, from ultra-thin PCs to handheld gaming
   devices.
 * Next-generation Intel Core Ultra client processor family (code-named Lunar
   Lake), launching in 2024, will have more than 100 platform tera operations
   per second (TOPS) and more than 45 neural processing unit (NPU) TOPS for
   next-generation AI PCs.
 * Intel announced new edge silicon across the Intel Core Ultra, Intel® Core™
   and Intel® Atom processor and Intel® Arc™ graphics processing unit (GPU)
   families of products, targeting key markets including retail, industrial
   manufacturing and healthcare. All new additions to Intel’s edge AI portfolio
   will be available this quarter and will be supported by the Intel® Tiber™
   Edge Platform this year.
 * Through the Ultra Ethernet Consortium (UEC), Intel is leading open Ethernet
   networking for AI fabrics, introducing an array of AI-optimized Ethernet
   solutions. Designed to transform large scale-up and scale-out AI fabrics,
   these innovations enable training and inferencing for increasingly vast
   models, with sizes expanding by an order of magnitude in each generation. The
   lineup includes the Intel AI NIC, AI connectivity chiplets for integration
   into XPUs, Gaudi-based systems, and a range of soft and hard reference AI
   interconnect designs for Intel Foundry.

Intel Tiber Portfolio of Business Solutions

Intel unveiled the Intel® Tiber™ portfolio of business solutions to streamline
the deployment of enterprise software and services, including for GenAI.

A unified experience makes it easier for enterprise customers and developers to
find solutions that fit their needs, accelerate innovation and unlock value
without compromising on security, compliance or performance. Customers can begin
exploring the Intel Tiber portfolio starting today, with a full rollout planned
for the third quarter of 2024. Learn more at Intel Tiber website.

Intel's announcements at Vision 2024 underscore the company's commitment to
making AI accessible, open and secure for enterprises worldwide. With these new
solutions and collaborations, Intel is poised to lead the way in the AI
revolution, unlocking unprecedented value for businesses everywhere.

For more information on Intel's AI solutions and Vision 2024 announcements,
please visit the Intel Newsroom.

Forward-Looking Statements

This release contains forward-looking statements, including with respect to:

 * our business plans and strategy and anticipated benefits therefrom;
 * our AI strategy and AI accelerators;
 * our open platforms approach and ecosystem support with respect to AI; and
 * other characterizations of future events or circumstances.

Such statements involve many risks and uncertainties that could cause our actual
results to differ materially from those expressed or implied, including those
associated with:

 * the high level of competition and rapid technological change in our industry;
 * the significant long-term and inherently risky investments we are making in
   R&D and manufacturing facilities that may not realize a favorable return;
 * the complexities and uncertainties in developing and implementing new
   semiconductor products and manufacturing process technologies;
 * our ability to time and scale our capital investments appropriately and
   successfully secure favorable alternative financing arrangements and
   government grants;
 * implementing new business strategies and investing in new businesses and
   technologies;
 * changes in demand for our products;
 * macroeconomic conditions and geopolitical tensions and conflicts, including
   geopolitical and trade tensions between the US and China, the impacts of
   Russia's war on Ukraine, tensions and conflict affecting Israel, and rising
   tensions between mainland China and Taiwan;
 * the evolving market for products with AI capabilities;
 * our complex global supply chain, including from disruptions, delays, trade
   tensions and conflicts, or shortages;
 * product defects, errata and other product issues, particularly as we develop
   next-generation products and implement next-generation manufacturing process
   technologies;
 * potential security vulnerabilities in our products;
 * increasing and evolving cybersecurity threats and privacy risks;
 * IP risks including related litigation and regulatory proceedings;
 * the need to attract, retain, and motivate key talent;
 * strategic transactions and investments;
 * sales-related risks, including customer concentration and the use of
   distributors and other third parties;
 * our significantly reduced return of capital in recent years;
 * our debt obligations and our ability to access sources of capital;
 * complex and evolving laws and regulations across many jurisdictions;
 * fluctuations in currency exchange rates;
 * changes in our effective tax rate;
 * catastrophic events;
 * environmental, health, safety, and product regulations;
 * our initiatives and new legal requirements with respect to corporate
   responsibility matters; and
 * other risks and uncertainties described in this release, our most recent
   Annual Report on Form 10-K and our other filings with the U.S. Securities and
   Exchange Commission (SEC).

All information in this release reflects management's expectations as of the
date of this release, unless an earlier date is specified. We do not undertake,
and expressly disclaim any duty, to update such statements, whether as a result
of new information, new developments, or otherwise, except to the extent that
disclosure may be required by law.

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.

1 NV H100 comparison based on
https://nvidia.github.io/TensorRT-LLM/performance.html#h100-gpus-fp8 , March 28,
2024. Reported numbers are per GPU. Vs Intel® Gaudi® 3 projections for
LLAMA2-7B, LLAMA2-70B & Falcon 180B projections. Results may vary.
2 NV H100 comparison based on
https://nvidia.github.io/TensorRT-LLM/performance.html#h100-gpus-fp8 , March 28,
2024. Reported numbers are per GPU. Vs Intel® Gaudi® 3 projections for
LLAMA2-7B, LLAMA2-70B & Falcon 180B. Power efficiency for both Nvidia and Gaudi
3 based on internal estimates. Results may vary.
3 NV H100 comparison based on:
https://developer.nvidia.com/deep-learning-performance-training-inference/training,
March 28, 2024. “Large Language Model” tab vs. Intel® Gaudi® 3 projections for
LLAMA2-7B, LLAMA2-13B & GPT3-175B as of 3/28/2024. Results may vary.
4 Based on architectural projections as of Feb. 14, 2023, vs. prior generation
platforms. Your results may vary.
5 Based on architectural projections as of Feb. 14, 2023, vs. prior generation
platforms. Your results may vary.
6 Based on architectural projections as of Feb. 14, 2023, vs. prior generation
platforms. Your results may vary.
7 See Vision 2024 section of intel.com/performanceindex for workloads and
configurations. Results may vary.

© 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/20240409077438/en/

Danielle Mann
1-973-997-1154
danielle.mann@intel.com

Source: Intel Corporation

Released Apr 9, 2024 • 11:35 AM EDT

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