Document

Material Innovation Scaling The AI Era

Ever Increasing Demand For AI Is Driving The Need For High-Performance, Energy Efficient Computing.

Today's AI Data Centers Must Process, Move And Store Massive Amounts Of Data. All Of This Enabled By Semiconductor Technology Innovation.

data center
semiconductor technology and ai

AI Is Reshaping The Semiconductor Roadmap And Changing The Way Chips Are Designed And Manufactured.

Applied's strategy is inflection-focused innovation. Foundational semiconductor technology plays a critical role in increasing semiconductor performance, increasing speed of compute and bringing down the cost of AI in the data center and at the edge.

There Are Five Key Areas Of Applied Leadership That We Believe Will Define The Architecture Of AI Systems:

Leading-Edge

Logic

Leading-Edge Logic

High-Performance
DRAM

High-Performance Dram

High-Bandwidth
Memory (HBM)

High-Bandwidth Memory

Advanced
Packaging

Advanced Packaging

Power
Electronics

Power Electronics

AI is fundamental to every industry, every company, and every person and Applied Materials is the foundation of the AI era. Behind every AI breakthrough is a semiconductor breakthrough, and behind those breakthroughs are materials engineering innovations from Applied. It is through our material innovation that we make a real, meaningful difference to the world.

backgroundImage
Energy Efficient Computing Will Drive Global AI Leadership
Semiconductor industry revenues can potentially reach $1 Trillion this year
Chart

AI  is the most profound technology inflection of our lifetime. It will change industries and redefine the global economy. The impact of AI extends beyond applications and industries to the underlying computing itself. Semiconductor chips must deliver improvements in computing capability, not just through performance, but also through dramatically improved energy efficiency.

AI workloads are growing and today we see new, incremental applications like agentic, edge and physical AI growing the industry over the next several years. AI data centers could consume more than 10% of global electricity supply by 2030. 

Applied Materials is solving this need for energy-efficient computing by delivering our innovative, broad portfolio of equipment solutions that enables chipmakers to shape and modify materials atom by atom. In today’s AI data centers, this precision matters when more transistors, faster interconnects and increased power efficiency are expected.

This transformation demands new materials, architectures and integration approaches. Materials science and innovation are the primary drivers disrupting and reshaping the traditional technology stack across the ecosystem. Advances in AI performance are enabled by new semiconductor chip and packaging technology efficiencies.

These Efficiencies Translate Directly into More Capable AI Models, Faster Responses, Lower Latency and the Ability to Extend the Data Center to More Edge Devices.

AI is the most profound technology inflection of our lifetime. It will change industries and it redefine the global economy. The impact of AI extends beyond applications and industries to the underlying computing itself. Semiconductor chips must deliver an estimated 10,000x improvement in computing capability, not just through performance, but also through dramatically improved energy efficiency.

Learn About ICAPS  

Applied’s work to improve efficiency across data center infrastructure addresses the Increasing energy needs of AI. An example at this level is Applied’s support for integrated power devices (IPD/IVR) that enhance system power performance.

Read the White Paper  

At the board and rack level, data centers integrate high speed optical interconnects and photonics to move massive volumes of data efficiently across servers and accelerators. Applied Materials supports this layer with materials and process technologies for optical interconnects, such as those referenced under silicon photonics and microLED solutions.

Learn About ICAPS  

Advanced packaging integrates multiple chiplets to deliver the bandwidth and energy efficiency needed for AI chips. These packaging innovations are critical to scaling AI performance by shortening interconnect distances and improving thermal and power density. The Applied Materials Kinex hybrid bonding system enables high accuracy die to wafer hybrid bonding for advanced logic and memory.

Learn About Kinex  

Advanced logic, memory, and transistor architectures deliver the compute density and energy efficiency required for massive AI workloads. Applied’s materials engineering expertise drives improvements in transistor scaling, patterning, and thin film precision—fundamental to AI processors. The Applied Materials Xtera epitaxy system supports gate-all-around (GAA) transistor fabrication at 2nm and beyond. And the new Producer Viva radical treatment system delivers angstrom-level precision engineering nanosheet surfaces.

Learn About Xtera  

Learn About Producer Viva  

server rack

Every Angstrom Matters In the Race To Scale AI

Think about this: beneath every new semiconductor architecture for advanced AI chips, multiple materials inflections are happening in parallel, creating unprecedented complexity and requiring unprecedented precision. That's more materials engineeringr innovation than ever before.

Placing multiple materials within a space of the size of a nanometer requires extraordinary accuracy, because material properties—and how they interact—make all the difference. As innovation accelerates from transistors to wafers to fabs, progress is occurring at a mind-bending pace while maintaining atomic-level control. In this new world, every angstrom matters.

6 X 1019 With 1Å Precision Transistors Per Year Needed

backgroundImage

AI is the largest technology inflection of our lifetime. The role of Applied Materials is to drive inflection-based innovation through our deep materials science expertise and the operational discipline to deliver the performance, energy-efficiency, and reliability needed to meet today's advanced AI workloads.

Gary Dickerson, President and Chief Executive Officer on AI

A New R&D Model for Innovation

Applied’s new, $5 billion EPIC Center in Silicon Valley represents the largest-ever U.S. investment in advanced semiconductor equipment R&D. The center is designed from the ground up to dramatically reduce the time it takes to commercialize breakthrough technologies from early-stage research to full-scale manufacturing.

EPIC Center Silicon Valley

Applied Materials EPIC Center

By changing the way we innovate with our customers and partners, we are creating faster roadmaps of next-generation technologies. Read more about the new EPIC Center.

Follow the AI Journey with Applied

Our AI story is not only about machines and models, but also the employees who imagine and build, and customers who use and benefit from intelligent solutions. We’re at the center of the transformation enabling the AI era. Follow us to learn how Applied’s manufacturing expertise, technology leadership and vision are shaping the future of AI at scale.