AI runs best on Intel across the compute continuum from the data center, cloud and network to the edge and PC.
NEWS HIGHLIGHTS
TAIPEI, Taiwan–(BUSINESS WIRE)–Today at Computex, Intel unveiled cutting-edge technologies and architectures poised to dramatically accelerate the AI ecosystem – from the data center, cloud and network to the edge and PC. With more processing power, leading-edge power efficiency and low total cost of ownership (TCO), customers can now capture the complete AI system opportunity.
“AI is driving one of the most consequential eras of innovation the industry has ever seen,” said Intel CEO Pat Gelsinger. “The magic of silicon is once again enabling exponential advancements in computing that will push the boundaries of human potential and power the global economy for years to come.”
More: Intel at Computex 2024 (Press Kit)
Gelsinger continued, “Intel is one of the only companies in the world innovating across the full spectrum of the AI market opportunity – from semiconductor manufacturing to PC, network, edge and data center systems. Our latest Xeon, Gaudi and Core Ultra platforms, combined with the power of our hardware and software ecosystem, are delivering the flexible, secure, sustainable and cost-effective solutions our customers need to maximize the immense opportunities ahead.”
Intel Enables AI Everywhere
During his Computex keynote, Gelsinger highlighted the benefits of open standards and Intel’s powerful ecosystem helping to accelerate the AI opportunity. He was joined by luminaries and industry-leading companies voicing support, including Acer Chairman and CEO Jason Chen, ASUS Chairman Jonney Shih, Microsoft Chairman and CEO Satya Nadella, and Inventec’s President Jack Tsai, among others.
Gelsinger and others made it clear that Intel is revolutionizing AI innovation and delivering next-generation technologies ahead of schedule. In just six months, the company went from launching 5th Gen Intel® Xeon® processors to introducing the inaugural member of the Xeon 6 family; from previewing Gaudi AI accelerators to offering enterprise customers a cost-effective, high-performance generative AI (GenAI) training and inference system; and from ushering in the AI PC era with Intel® Core™ Ultra processors in more than 8 million devices to unveiling the forthcoming client architecture slated for release later this year.
With these developments, Intel is accelerating execution while pushing the boundaries of innovation and production speed to democratize AI and catalyze industries.
Modernizing the Data Center for AI: Intel Xeon 6 Processors Improve Performance and Power Efficiency for High-Density, Scale-Out Workloads
As digital transformations accelerate, companies face mounting pressures to refresh their aging data center systems to capture cost savings, achieve sustainability goals, maximize physical floor and rack space, and create brand-new digital capabilities across the enterprise.
The entire Xeon 6 platform and family of processors is purpose-built for addressing these challenges with both E-core (Efficient-core) and P-core (Performance-core) SKUs to address the broad array of use cases and workloads, from AI and other high-performance compute needs to scalable cloud-native applications. Both E-cores and P-cores are built on a compatible architecture with a shared software stack and an open ecosystem of hardware and software vendors.
The first of the Xeon 6 processors to debut is the Intel Xeon 6 E-core (code-named Sierra Forest), which is available beginning today. Xeon 6 P-cores (code-named Granite Rapids) are expected to launch next quarter.
With high core density and exceptional performance per watt, Intel Xeon 6 E-core delivers efficient compute with significantly lower energy costs. The improved performance with increased power efficiency is perfect for the most demanding high-density, scale-out workloads, including cloud-native applications and content delivery networks, network microservices and consumer digital services.
Additionally, Xeon 6 E-core has tremendous density advantages, enabling rack-level consolidation of 3-to-1, providing customers with a rack-level performance gain of up to 4.2x and performance per watt gain of up to 2.6x when compared with 2nd Gen Intel® Xeon® processors on media transcode workloads1. Using less power and rack space, Xeon 6 processors free up compute capacity and infrastructure for innovative new AI projects.
Fact Sheet: Intel Xeon 6 Processors
Providing High Performance GenAI at Significantly Lower Total Cost with Intel Gaudi AI Accelerators
Today, harnessing the power of generative AI becomes faster and less expensive. As the dominant infrastructure choice, x86 operates at scale in nearly all data center environments, serving as the foundation for integrating the power of AI while ensuring cost-effective interoperability and the tremendous benefits of an open ecosystem of developers and customers.
Intel Xeon processors are the ideal CPU head node for AI workloads and operate in a system with Intel Gaudi AI accelerators, which are purposely designed for AI workloads. Together, these two offer a powerful solution that seamlessly integrates into existing infrastructure.
As the only MLPerf-benchmarked alternative to Nvidia H100 for training and inference of large language models (LLM), the Gaudi architecture gives customers the GenAI performance they seek with a price-performance advantage that provides choice and fast deployment time at lower total cost of operating.
A standard AI kit including eight Intel Gaudi 2 accelerators with a universal baseboard (UBB) offered to system providers at $65,000 is estimated to be one-third the cost of comparable competitive platforms. A kit including eight Intel Gaudi 3 accelerators with a UBB will list at $125,000, estimated to be two-thirds the cost of comparable competitive platforms4.
Intel Gaudi 3 accelerators will deliver significant performance improvements for training and inference tasks on leading GenAI models, helping enterprises unlock the value in their proprietary data. Intel Gaudi 3 in an 8,192-accelerator cluster is projected to offer up to 40% faster time-to-train5 versus the equivalent size Nvidia H100 GPU cluster and up to 15% faster training6 throughput for a 64-accelerator cluster versus Nvidia H100 on the Llama2-70B model. In addition, Intel Gaudi 3 is projected to offer an average of up to 2x faster inferencing7 versus Nvidia H100, running popular LLMs such as Llama-70B and Mistral-7B.
To make these AI systems broadly available, Intel is collaborating with at least 10 top global system providers, including six new providers who announced they’re bringing Intel Gaudi 3 to market. Today’s new collaborators include Asus, Foxconn, Gigabyte, Inventec, Quanta and Wistron, expanding the production offerings from leading system providers Dell, Hewlett Packard Enterprise, Lenovo and Supermicro.
Accelerating On-Device AI for laptop PCs; New Architecture Delivers 3x AI Compute and Incredible Power-Efficiency
Beyond the data center, Intel is scaling its AI footprint at the edge and in the PC. With more than 90,000 edge deployments and 200 million CPUs delivered to the ecosystem, Intel has enabled enterprise choice for decades.
Today the AI PC category is transforming every aspect of the compute experience, and Intel is at the forefront of this category-creating moment. It’s no longer just about faster processing speeds or sleeker designs, but rather creating edge devices that learn and evolve in real time – anticipating user needs, adapting to their preferences, and heralding an entirely new era of productivity, efficiency and creativity.
AI PCs are projected to make up 80% of the PC market by 2028, according to Boston Consulting Group. In response, Intel has moved quickly to create the best hardware and software platform for the AI PC, enabling more than 100 independent software vendors (ISVs), 300 features and support of 500 AI models across its Core Ultra platform.
Quickly building on these unmatched advantages, the company today revealed the architectural details of Lunar Lake – the flagship processor for the next generation of AI PCs. With a massive leap in graphics and AI processing power, and a focus on power-efficient compute performance for the thin-and-light segment, Lunar Lake will deliver up to 40% lower SoC power3 and more than 3 times the AI compute8. It’s expected to ship in the third quarter of 2024, in time for the holiday buying season.
Lunar Lake’s all-new architecture will enable:
As others prepare to enter the AI PC market, Intel is already shipping at scale, delivering more AI PC processors through 2024’s first quarter than all competitors together. Lunar Lake is set to power more than 80 different AI PC designs from 20 original equipment manufacturers (OEMs). Intel expects to deploy more than 40 million Core Ultra processors in market this year.
Fact Sheet: Intel Unveils Lunar Lake Architecture
As Gordon Moore famously said, “Whatever has been done, can be outdone,” and Intel stands as the vanguard of this relentless pursuit of progress. With global scale spanning client, edge, data center and cloud, a robust ecosystem grounded in open standards, and powerful, cost-effective solutions, Intel is not just powering AI everywhere; it is shaping its future. Today’s announcements are not just a technological leap, but an invitation to customers and partners to seize unprecedented possibilities and pioneer the next era of their own innovations.
Forward-Looking Statements
This release contains forward-looking statements that involve a number of risks and uncertainties, including with respect to Intel’s product roadmap and anticipated product sales and competitiveness and projected growth and trends in markets relevant to Intel’s business. 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:
Given these risks and uncertainties, readers are cautioned not to place undue reliance on such forward-looking statements. Readers are urged to carefully review and consider the various disclosures made in this release and in other documents we file from time to time with the SEC that disclose risks and uncertainties that may affect our business.
Unless specifically indicated otherwise, the forward-looking statements in this release are based on management’s expectations as of the date of this release, unless an earlier date is specified, including expectations based on third-party information and projections that management believes to be reputable. 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.
AI runs best on Intel across the compute continuum from the data center, cloud and network to the edge and PC as of May 2024, based on broad compatibility, extensive software options, unique architecture, and impressive performance of Intel offerings, which combine to deliver the best overall AI experience, including in comparison to competitive offerings. See intel.com/performanceindex for details. Results may vary.
1 See [7T1] at intel.com/processorclaims: Intel® Xeon® 6. Results may vary.
2 Pricing estimates based on publicly available information and Intel internal analysis.
3 Disclaimer for footnote: Power measurements are based on Lunar Lake reference platform using YouTube 4K 30fps AV1. See backup for details. Results may vary.
4 Pricing guidance for cards and systems is for modeling purposes only. Please consult your original equipment manufacturer (OEM) of choice for final pricing. Results may vary based upon volumes and lead times.
5 Source for Nvidia H100 GPT 3 performance: https://mlcommons.org/benchmarks/training/, v3.1, closed division round. Accessed April 30, 2024.
Intel Gaudi 3 measurements and projections by Habana Labs, April 2024; Results may vary
Intel Gaudi 3 performance projections are not verified by MLCommons Association. The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See http://www.mlcommons.org/ for more information.
6 Source for Nvidia H100 LLAMA2-70B performance https://developer.nvidia.com/deep-learning-performance-training-inference/training, April 29, 2024, a “Large Language Model” tab.
Intel Gaudi 3 measurements and projections by Habana Labs, April 2024; Results may vary
7 Source for Nvidia performance: Overview — tensorrt_llm documentation (nvidia.github.io), May, 2024. Reported numbers are per GPU.
Intel Gaudi 3 projections by Habana Labs, April 2024; Results may vary
8 Based on total number of platform Tops on Lunar Lake vs. prior generation.
© 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.
Contacts
Cory Pforzheimer
1-805-895-2281
cory.pforzheimer@intel.com
HO CHI MINH CITY, VIETNAM - Media OutReach Newswire - 24 December 2024 - JustMarkets…
BANGKOK, THAILAND - Media OutReach Newswire - 24 December 2024 - The Asia Corporate Excellence…
HOHHOT, CHINA - Media OutReach Newswire - 23 December 2024 - China's National Forestry and…
HONG KONG SAR - EQS Newswire - 23 December 2024 - Novautek Autonomous Driving Limited…
JAKARTA, INDONESIA - Media OutReach Newswire - 23 December 2024 - V-GREEN and PT Xanh…
Increase in opportunities predicted for high-speed optical transceivers and miniaturized connectivity solutions to address data-intensive…